agency)? What intellectual property considerations might apply? How long should the data be retained? How long would you expect it to be useful, e.g. agency)? What intellectual property considerations might apply? How long should the data be retained? How long would you expect it to be useful, e.g. agency)? What intellectual property considerations might apply? How long should the data be retained? How long would you expect it to be useful, e.g.through the end of grant/experiment, 3-5 years, 10-20 years, permanently? What is Data? Standards Is there good project and data documentation? What directory and file naming conventions will be used? What project and data identifiers will be assigned? What file formats are used? Are they standards-based or proprietary? Are there tools or software needed to create/process/visualize the data? Are the tools or software proprietary? Is there an ontology or other community standard for data sharing/integration? Access, Sharing, and Re-use Any special privacy or security requirements? e.g., personal data, high-security data Any sharing requirements? e.g., funder data sharing policy Any other funder requirements? e.g., data management plan in grant proposals What is your storage and backup strategy? When will it be shared and where? How broadly will it be shared? Are there I/O throughput issues with respect to the size of the datasets?


p strategy? When will it be shared and where? How broadly will it be shared? Are there I/O throughput issues with respect to the size of the datasets?p strategy? When will it be shared and where? How broadly will it be shared? Are there I/O throughput issues with respect to the size of the datasets?p strategy? When will it be shared and where? How broadly will it be shared? Are there I/O throughput issues with respect to the size of the datasets?p strategy? When will it be shared and where? How broadly will it be shared? Are there I/O throughput issues with respect to the size of the datasets?Who in the research group will be responsible for data management?


Data Management Instruction:
I can assist you in improving the capture, organization, management, storage & preservation, presentation and dissemination of your research data Virtual Office Hours Do you have reams of research data that you need to organize and document? Do you need to ensure that it is accessible to the public and/or preserved for the long term? Are you applying for a grant that requires you to create a data management plan? If so, then this drop-in session is for you. Stephen Klein will help you navigate the world of data management during drop-in video consultations on the second Tuesday of the each month from 2-3pm. Click here to join during Tuesdays (the third Tuesday of the month) 2-3pm and if another person is being assisted, you'll be kept in the "waiting room" until the librarian is available.   Or email Stephen for an alternative meeting time if Tuesday afternoons do not work.


Sustainable formats:
Formats more likely to be accessible in the future are: Non-proprietary Open, documented standard Common usage by research community Standard representation (ASCII, Unicode) Unencrypted Uncompressed Software agnostic = can be used with many different software, not just one If you have to use proprietary formats, export or convert them to open file formats at the end of your project Consider migrating your data into a format with the above characteristics, in addition to keeping a copy in the original software format. Examples of preferred format choices: PDF/A, not Word ASCII, not Excel MPEG-4, not Quicktime TIFF or JPEG2000, not GIF or JPG Library of Congress' recommended file formats .


File Organization:
Tips: Do not go more than 2 folders deep Each folder should have a README with contextual information Choose an organization strategy that works for you (thematic grouping/by file type/by analysis) Simmon's College guide . NYU's guide . MIT's guide . Example : -Project --src (source files) --data (raw data (should be read only)) --results (processed data) --docs (text docs and codebooks)


Naming conventions:
Directory structure naming When organizing files, directory top-level folder should include the project title, unique identifier, and date (year). The substructure should have a clear, documented naming convention; for example, each run of an experiment, each version of a dataset, and/or each person in the group. File naming Reserve the 3-letter file extension for application-specific codes, for example, formats like .wrl, .mov, and .tif. Choose SHORT file names that are recognizable to humans + machines Prefix your files with a date in YYYY-MM-DD Avoid special characters! Avoid spaces in filenames - use an underscore _ instead Identify the activity or project in the file name Use free tools to help you: http://www.bulkrenameutility.co.uk http://renamer4mac.com http://www.powersurgepub.com/products/psrenamer.html File naming conventions for specific disciplines DOE's Atmospheric Radiation Measurement (ARM) program


Documentation and Metadata:
Title | Name of the dataset or research project that produced it

Creator | Names and addresses of the organization or people who created the data

Identifier | Number used to identify the data, even if it is just an internal project reference number

Subject | Keywords or phrases describing the subject or content of the data

Funders | Organizations or agencies who funded the research

Rights | Any known intellectual property rights held for the data

Access information | Where and how your data can be accessed by other researchers

Language | Language(s) of the intellectual content of the resource, when applicable

Dates | Key dates associated with the data, including: project start and end date; release date; time period covered by the data; and other dates associated with the data lifespan, e.g., maintenance cycle, update schedule

Location | Where the data relates to a physical location, record information about its spatial coverage


pan, e.g., maintenance cycle, update schedule

Location | Where the data relates to a physical location, record information about its spatial coverageMethodology | How the data was generated, including equipment or software used, experimental protocol, other things one might include in a lab notebook

Data processing | Along the way, record any information on how the data has been altered or processed

Sources | Citations to material for data derived from other sources, including details of where the source data is held and how it was accessed

List of file names | List of all data files associated with the project, with their names and file extensions (e.g. 'NWPalaceTR.WRL', 'stone.mov')

File Formats | Format(s) of the data, e.g. FITS, SPSS, HTML, JPEG, and any software required to read the data

File structure | Organization of the data file(s) and the layout of the variables, when applicable

Variable list | List of variables in the data files, when applicable

Code lists | Explanation of codes or abbreviations used in either the file names or the variables in the data files (e.g. '999 indicates a missing value in the data')


lanation of codes or abbreviations used in either the file names or the variables in the data files (e.g. '999 indicates a missing value in the data')Versions | Date/time stamp for each file, and use a separate ID for each version (see file organization)

Checksums | To test if your file has changed over time


Date/time stamp for each file, and use a separate ID for each version (see file organization)

Checksums | To test if your file has changed over timeData must be documented to be used properly by you, your colleagues, and other researchers in the future.  Metadata describes files' titles, creators, subjects and other possibly pertinent information enabling researchers to find, use and properly cite your data. Researchers can choose among various metadata standards, often tailored to a particular file format or discipline.  One such standard is DDI (the Data Documentation Initiative ), designed to document numeric data files. describe a file, like its title, the name of its creator, and the subjects it’s related to Following are some general guidelines for aspects of your project and data that you should document, regardless of your discipline.  At minimum, store this documentation in a readme.txt file or the equivalent, together with the data. One can also reference a published article which may contain some of this information. More info: University of Pennsylvania Libraries


Where does metadata go?:
Your metadata can go in a variety of places: In a text file ('README') In a spreadsheet In an XML file In a database or repository (when you share the data)


Essentials:
The essential two components: a README file describes the files being deposited. Details the work on a high-level, as well as any dependencies/assumptions Readme.txt by Kristin Briney Creating a README for your dataset by University of British Columbia Guide to writing "readme" style metadata (with a fantastic ReadMe template for data sharing) by Cornell University GitHub README Guide a codebook or data dictionary that defines specific details of data the variables you use, column headers for spreadsheets, other relevant specifics Here are some codebook guides: Codebook Cookbook - Patrick Belisle of McGill University How to Create a Codebook with SPSS - Kent State University Libraries How to Make a Data Dictionary - OSF Support Data Management: Data Dictionaries Video [6:30] - University of Wisconsin Data Services with Kristin Briney University of Pennsylvania Librar ies CalTech OSF Examples : HSLS Codebook


Backups:
3, 2, 1 rule 3 copies, 2 storage media, 1 copy offsite. The Backup Rule of Three Make 3 copies (1 original + 1 external and local + 1 external and remote) Store copies such that they are geographically distributed (local vs. remote depends on recovery time needed) If you choose to use CDs, DVDs and USB flash drives for working data or backup copies, you should: Choose high quality products from reputable manufacturers. Follow the instructions provided by the manufacturer for care and handling, including environmental conditions and labelling. Regularly check the media to make sure that they are not failing, and periodically 'refresh' the data (that is, copy to a new disk or new USB flash drive). Ensure that any private or confidential data is password-protected and/or encrypted. For suggestions of external drive and offsite/cloud backup tools, consult the CUNY Academic Commons guide to Data Management Tools .


Security:
You should always have up-to-date anti-virus software installed on your office and home computer. McAfee VirusScan software for Windows and Mac is might be available for free download to all CUNY faculty, staff, and students from the CUNY eMall. You should also be aware of physical security . A computer that is not connected to a network is still vulnerable to theft and malicious damage/modification to data. For suggestions of password management tools , consult the CUNY Academic Commons guide to Data Management Tools . If you have sensitive data that is covered by privacy laws or confidentiality agreements, it is best to store it on a computer that is not connected to any network. If this is not possible, then you should encrypt your data . For more information on encryption software, see below.


Encryption:
Drives and disks where confidential data are stored should be encrypted, as should any electronic means (e.g., email) used to transmit confidential data. There are many proprietary and open-source encryption applications available. Encryption keys should always be written down and stored in two separate, secure locations. TrueCrypt is a free open-source disk encryption software for Windows, Linux, and MacOS. AxCrypt is encryption software that integrates into Windows Explorer. GPGTools (OS X) and Gpg4win (Windows) are free, open-source email encryption applications that use GPG (GNU Privacy Guard). Mailvelope is an application for encrypting webmail like Gmail, Outlook. If you will be collecting data outside the United States, make sure that your encryption software will not violate Export Control regulations .


CITI Training:
All CUNY faculty members, postdoctoral scholars, graduate and undergraduate students involved in human subjects research as key personnel must complete the applicable Basic Course (e.g. HSR for Social & Behavioral Faculty, Graduate Students, & Postdoctoral Fellows ) in the protection of human subjects prior to Institutional Review Board (IRB) approval of their protocol.  See more info about research compliance courses . Rebecca Banchik is the GC's Director of the Human Research Protection Program . Adrienne Klein , is the GC's Director of Special Projects and Research Integrity Officer, of Research and Sponsored Programs .


CUNY Links:
CUNY Computing and Information Services: Security Policies & Procedures CUNY Computing and Information Services: Endpoint Encryption Best Practices CUNY Human Research Protections Program CUNY Academic Commons: Data Management Tools (Note: Some of the tools listed on this page may not be appropriate for data management plans or long-term data management.)


Advantages of a respository:
Why would you choose to deposit your data into a repository? A repository is helpful because it: Provides a metadata structure for you to fill in Serves as a backup vehicle for your data May preserve your data for the future Makes sharing your data easy Others may cite your research more May provide some computational/online analysis tools for people to use your data Publishes the data for you by giving your dataset a unique persistent identifier, e.g., DOI


Selecting a data repository:
There are some things to keep in mind when selecting a repository. Data in a repository should be: Persistent (not likely to be modified) Searchable and browsable Retrieved or downloaded easily Cited A wide variety of institution-based and discipline-specific repositories exist for digital data. The repository itself should be: Appropriate for the type of data you generate Appropriate for the audience of the repository (so they will make use of your data!) Open access If both a discipline-specific repository and an institution-based one exist for your data, then consider depositing in both locations to maximize discovery and safety of the data. The General Repository Comparison Chart ( older version ) NYU's Guide to selecting a repository. NIH's guide . A good comparison of various popular general repositories. NIH's Generalist Repositories Initiative Taylor and Francis


Locating a Data Repository:


Locating a Data Repository:Locating a Data Repository:Data repositories As colleagues in your discipline for guidance on choosing the most relevant repository to your field. You can also use FAIRsharing and re3data.org (an extensive list of discipline-specific repositories) to search for a suitable repository – both provide a list of certified data repositories. FAIRsharing.org is a curated, searchable registry of metadata standards; databases and repositories; and funder and journal policies that are relevant to specific domains or types of data. If it's difficult to determine or if your discipline does not currently have one, you can use one of these generalist data repositiories: OpenDOAR is a global Directory of Open Access Repositories. You can search and browse through thousands of registered repositories based on a range of features, such as location, software or type of material held.


can search and browse through thousands of registered repositories based on a range of features, such as location, software or type of material held. can search and browse through thousands of registered repositories based on a range of features, such as location, software or type of material held. can search and browse through thousands of registered repositories based on a range of features, such as location, software or type of material held.Try it out for yourself: Repository Finder is another good search (beta) tool to help you navigate and discover the most appropriate repository for your data. A list broken down by discipline. CUNY Academic Works accepts all data formats, and is dedicated to collecting and providing access to the research, scholarship, and creative and pedagogical work of the City University of New York. OSF allows for the collection, analysis, publishing and discovery of projects and supported data. FigShare allows you to share all of your data, negative results and unpublished figures. Dataverse Network Project (DVN) , is an application to publish, share, reference, extract and analyze research data. It facilitates making data available to others, and allows to replicate others work. Researchers and data authors get credit, publishers and distributors get credit, affiliated institutions get credit.


allows to replicate others work. Researchers and data authors get credit, publishers and distributors get credit, affiliated institutions get credit. allows to replicate others work. Researchers and data authors get credit, publishers and distributors get credit, affiliated institutions get credit. allows to replicate others work. Researchers and data authors get credit, publishers and distributors get credit, affiliated institutions get credit.Inter-university Consortium for Political and Social Research (ICPSR) – The world’s largest archive of digital social science data. ICPSR staff can guide you in preparing your data for archiving and distribution. GitHub is generally OK for software projects. Zenodo is increasingly becoming a standard and each deposit is assigned a DOI . Open Context reviews, edits, annotates, publishes and archives research data and digital documentation. 4TU.ResearchData Science Data Bank


It is vital to maintain the confidentiality of research subjects for reasons of ethics and to ensure the continuing participation in research. At the same time, data on research subjects can be shared if proper steps are taken to maintain participant confidentiality: Informed consent should make a provision for data sharing: When obtaining informed consent from study participants, ensure confidentiality while also enabling the option of data sharing. Even if you are not certain that you will share your research data with others, you must obtain informed consent at the outset. For an example of how to write informed consent forms to allow for data sharing, see the U.K. Data Archive guide to consent or the ICPSR Confidentiality Language for Informed Consent Agreements .


nt forms to allow for data sharing, see the U.K. Data Archive guide to consent or the ICPSR Confidentiality Language for Informed Consent Agreements .nt forms to allow for data sharing, see the U.K. Data Archive guide to consent or the ICPSR Confidentiality Language for Informed Consent Agreements .nt forms to allow for data sharing, see the U.K. Data Archive guide to consent or the ICPSR Confidentiality Language for Informed Consent Agreements .Evaluate the sensitivity of your data: Researchers should consider whether or not their data contains either direct or indirect identifiers that could be utilized with other public information to identify research participants. If so, steps should be taken to remove or mask these in public-use data files. Obtain a confidentiality review: A benefit to depositing your data with some archives, such as ICPSR , is that their staff will review your data for the presence of confidential information. Comply with CUNY regulations: Grad Center researchers concerned about confidentiality issues with their data should consult the Human Research Protection Program . Comply with regulations for health research: HIPPA Privacy Rule, Information for Researchers . Enable restricted use of your data: Do you want to make your data available in a more restricted, limited-access manner? The ICPSR DSDR program has resources for data producers including a tool for Designing a Restricted Data Use Contract.


When writing a paper or doing a presentation, it is important to cite not only the literature consulted but also the data files used, even if they are data files that you have produced. Citing data is important in order to: Give the data producer appropriate credit Enable readers of your work to access the data, for their own use or to replicate your results Elements of a citation include: Author(s) Title Year of publication: The date when the dataset was published or released (rather than the collection or coverage date) Publisher: the data center/repository Any applicable identifier (including edition or version) Availability and access: URL or other location information for the data Examples: Bachman, Jerald G., Lloyd D. Johnston, and Patrick M. O'Malley. Monitoring the Future: A Continuing Study of American Youth (12th-Grade Survey), 1998 [Computer file]. Conducted by University of Michigan, Survey Research Center. ICPSR02751-v1.


tinuing Study of American Youth (12th-Grade Survey), 1998 [Computer file]. Conducted by University of Michigan, Survey Research Center. ICPSR02751-v1.tinuing Study of American Youth (12th-Grade Survey), 1998 [Computer file]. Conducted by University of Michigan, Survey Research Center. ICPSR02751-v1.tinuing Study of American Youth (12th-Grade Survey), 1998 [Computer file]. Conducted by University of Michigan, Survey Research Center. ICPSR02751-v1.Ann Arbor, MI: Inter-university Consortium for Political and Social Research [producer and distributor], 2006-05-15. http://dx.doi.org/10.3886/ICPSR02751 . ASTER Global Digital Elevation Model, version 1, ASTGTM_N11E122_num.tif, ASTGTM_N11E123_num.tif, Ministry of Economy, Trade, and Industry (METI) of Japan and NASA, downloaded from https://wist.echo.nasa.gov/api/ , October 27, 2009 Related links: ICPSR: Why and how should I cite data? DataCite


Tools:
Containers - Portable OS, lightweight, short-term sharing.  Example: Singularity Packagers - Tools that bundle all your work together with every dependency needed. Example: ReproZip Web-based IDE - IDEs you can use in-browser, usually used with containers.  Example: JupyterHub Web-based replay - In-browser tools that let you re-run research hosted elsewhere. Example: Binder


Introduction:
Good research data management practices will get you 90% of the way there, but because of environmental variabilities (different operating systems, different software versions, etc.) a project might not be reproducible. Reproducibility is when independent people use the same research materials and conditions to verify a claim; a reviewer running someone's code. The Practice of Reproducible Research


Many key granting organizations, like NSF, NIH, NEH and more, now require submitters to include a Data Management Plan as part of their application. These plans outline what steps the applicant will take to collect, safeguard, archive, and make available the data used for the research in question.  A plan should not be an onerous step, but rather documentation of steps you have taken or plan to take in respect to file formats and organization, metadata and documentation, storage and security, and sharing and access. The particular requirements of a data management plan will vary among funding agencies, so it is best to always consult the agency.

Data Management Plans and Grant Requirements


haring and access. The particular requirements of a data management plan will vary among funding agencies, so it is best to always consult the agency.haring and access. The particular requirements of a data management plan will vary among funding agencies, so it is best to always consult the agency.haring and access. The particular requirements of a data management plan will vary among funding agencies, so it is best to always consult the agency.However, there are a few attributes that are common to all data management plans, including: A description of the type(s) of data to be produced Methods of how the data will be collected and who will be responsible for data management Standards you will use to describe your data (metadata standards) Backup and storage procedures Provisions for long-term archiving and preservation Access policies and provisions for secondary uses: will it be available to others? Any protection or security measures taken to protect participant confidentiality


Funding agency guidelines:


Funding agency guidelines:Funding agency guidelines:Federal agencies Many federal funding agencies require a DMP with every funding request. Each agency or directorate creates its own set of policies for data management. SPARC (the Scholarly Publishing and Academic Resources Coalition) has compiled an excellent resource with information but the data management and data sharing requirements from all the federal funding agencies. NNLM Toolkit for the NIH Data Management and Sharing Policy SPARC's Data Sharing Requirements by Federal Agency National Science Foundation (NSF) FAQ's about Data Management and Sharing Data Management Plan Requirements by Directorate Data Archiving Policy Grant Proposal Guide Private agencies Private foundations may have requirements or guidelines related to data collection and data sharing, which may or may not include a DMP. Requirements may vary by program. Check directly with each organization for specifics.


ollection and data sharing, which may or may not include a DMP. Requirements may vary by program. Check directly with each organization for specifics.ollection and data sharing, which may or may not include a DMP. Requirements may vary by program. Check directly with each organization for specifics.ollection and data sharing, which may or may not include a DMP. Requirements may vary by program. Check directly with each organization for specifics.Gates Foundation : Open access policy mandates that publications will be open access, and that "data underlying published research results will be accessible and open immediately." Alfred P. Sloan Foundation : "How will your data and code be shared, annotated, cited, and archived? What else will you do to make your findings reproducible by other researchers?" for general projects, and for those generating "information products," there is another section that is a fuller DMP. Ford Foundation : Requires a Creative Commons license for all grant-funded work. Gordon and Betty Moore Foundation: "As part of the foundation grant development process, potential grantees are required to develop a Data Management and Sharing Plan with their foundation grant team. All data used in or developed in whole or in part by foundation-funded projects (and that can be shared in a manner consistent with applicable laws) will be made widely available and freely shared as soon as possible.


ded projects (and that can be shared in a manner consistent with applicable laws) will be made widely available and freely shared as soon as possible.ded projects (and that can be shared in a manner consistent with applicable laws) will be made widely available and freely shared as soon as possible.ded projects (and that can be shared in a manner consistent with applicable laws) will be made widely available and freely shared as soon as possible.If data used in foundation-funded projects are owned by an additional party other than the grantee, we do not require it to be released, but the grantee will use its best efforts to encourage the data owners to make it openly and freely available." MacArthur Foundation : The foundation "expects openness in research and freedom of access to research results and, when feasible, to the underlying data by persons with a serious interest in the research... grant-funded impact studies should generally be registered in a field-appropriate registry..." (from their broader intellectual property policy).


Examples of data management plans:
ICPSR: Sample Data Management Plan for Social and Political Science Data NIH: Examples of Data-Sharing Plans NSF , Biology Directorate, Plant Genome Research Program (PGRP): Examples of three data management plans (pdf) from funded grants by Stanford Professor Virginia Walbot, including additional information and guidance. UC San Diego Library's Data Management Plan Guide Purdue's Data Management Plan Guide Harvard's Video Tutorial JCOMM Data Management Plans NASA Mission Project Data Management Plans Data management planning from DataOne


DMPTool:
The DMPTool is an online tool that includes data management plan templates for many of the large funding agencies that require such plans. The tool includes general guidance, links to helpful documentation, issues to consider, and specific questions to think about as you prepare your data management plan. Space is provided to compose a response for each of the main areas that your funding agency would like for you to address in your plan. You can save and come back to your plan as often as you like. When you are finished, you can export your plan in plain text format and insert it into your grant proposal.  It is a good way to start and or complete your data management plan.


CITI Training:
All CUNY faculty members, postdoctoral scholars, graduate and undergraduate students involved in human subjects research as key personnel must complete the applicable Basic Course (e.g. HSR for Social & Behavioral Faculty, Graduate Students, & Postdoctoral Fellows ) in the protection of human subjects prior to Institutional Review Board (IRB) approval of their protocol.  See more info about research compliance courses . Rebecca Banchik is the GC's Director of the Human Research Protection Program . Adrienne Klein , is the GC's Director of Special Projects and Research Integrity Officer, of Research and Sponsored Programs .


FAIR:
Data Management Plans should be based on FAIR Principles : Findable - using descriptive keywords and DOIs. Accessible - easy to retrieve data residing in a repository. Interoperable - Using open formats and consistent vocabulary. Reusable - Clear reuse licenses and strong documentation.


Research Metrics: This is a guide to the various metrics used to measure research impact.


Research Metrics:
This guide will help you understand and locate: Journal-level Metrics Author-level Metrics Article-level Metrics Altmetrics


What are metrics?:
Scholarly metrics are a way for the impact of an article, author, or journal to be measured quantitatively. There are different methods used in order to calculate a scholarly impact with the intent that these works will be judged solely on impact to the field as opposed to using criteria without universal standards. There has been much debate about the use of impact factors in academia. Some academics feel that scholarly metrics place too much emphasis on the quantity of work as opposed to the quality of the work being produced. There is also a concern that focusing on metrics will pressure authors to publish "hot-topic" articles in only the most "impactful" journals as opposed to producing and experimenting with more original work.


Increase Your Impact:
Use personal/institutional names consistently Register with ORCID Provide a concise, well-structured abstract Employ appropriate keywords/headings Retain rights to your manuscripts Archive everything you can! Present at conferences Blog! Tweet!


Beyond Metrics:
Journal metrics and rankings are not synonymous with journal quality. To get a fuller picture of a journal's quality, researchers should examine the journal itself and think critically about its policy, leadership, articles, etc. The site Think. Check. Submit. lists questions that researchers should ask themselves when evaluating a journal, especially when considering whether to publish with that journal.


Research Metrics Class Materials:
Instructor slides [.pptx]


Overview:
Journal-level metrics attempt to quantify a journal's impact, by analyzing (in different ways and over different amounts of time) how frequently its articles are cited. Pros: These metrics can give a sense of which journals are popular and/or respected within a specific field. Cons: These metrics effectively average the impact of a journal's articles and authors, so they hide variation in citedness between articles and authors. They also are not generalizable across disciplines.


Google Scholar Metrics is available by clicking "Metrics" from the Google Scholar homepage . It offers a list of the top journals in specific fields according to their h-index and h5-median values, based on the citation information in Google Scholar.


Web of Science: Journal Citation Reports:


Web of Science: Journal Citation Reports:Web of Science: Journal Citation Reports:Journal Citation Reports (JCR) is the journal-level metrics database on the Web of Science platform. It includes: Impact Factor is the number of citations to a specific journal's articles in a given year, divided by the number of articles published by that journal over the two years prior. For example, a current Impact Factor of 2.5 means that, on average, the articles published one or two years ago have been cited two and a half times. 5-year Impact Factors are often calculated as well. When this same calculation is made over 1 year, that number is called the Journal Immediacy Index . Impact Factors may include citations between articles in the same journal. A journal's Eigenfactor Score is calculated using a complex algorithm. Journal self-citations are excluded, and citations are iteratively weighted by the citing journals Eigenfactor Score (compare to Google's PageRank, where being linked by "more authoritative" websites causes results to appear higher in search results).


genfactor Score (compare to Google's PageRank, where being linked by "more authoritative" websites causes results to appear higher in search results).genfactor Score (compare to Google's PageRank, where being linked by "more authoritative" websites causes results to appear higher in search results).genfactor Score (compare to Google's PageRank, where being linked by "more authoritative" websites causes results to appear higher in search results).An Article Influence Score can then be obtained by averaging a journal's Eigenfactor Score over the number of articles published.


SCImago/SNIP:
SCImago Journal Rank (SJR) is freely available online, and depends on an iterative algorithm where citations are weighted more or less based on the journal they arise from. SJR uses data from the Scopus database.


Tutorials and Help:
Journal Citation Reports video tutorial SCImago Documentation Google Scholar Metrics Documentation About Eigenfactor


Overview:
Author-level metrics attempt to quantify an author's impact, by analyzing (in different ways and over different amounts of time) how frequently their articles are cited. Pros: These metrics can give a more holistic idea of author impact, across different journal titles. Cons: These metrics are biased toward more prolific and more established authors. They also are not generalizable across disciplines.


Google Scholar: My Citations:
Google Scholar Citations It has the following features: Authors can track their own publications (tracking of other authors' works is only possible if they have a profile). The types of metrics utilized are a simple citation count, h-index, and i10-index. Set up automatic updates to the citation metrics. Manually update your profile. View information on citations for other authors by doing a search for them in Google Scholar and the scholarly metrics information will be listed under the citation information. The h-index is the primary author-level metric. It represents the number of articles published by an author that have been cited h times or more. For example, an author with an h-index of 15 has published 15 articles that have been cited 15 times or more.


Web of Science: Essential Science Indicators:
Essential Science Indicators is available through the "Additional Tools" tab of the Web of Science interface. It offers these features: Citation Rankings for scientists, institutions, countries, and journals. Most Cited Papers, has "highly cited" from the past 10 years and "hot papers" from the past 2 years. Citation Analysis is offered on "baselines" (including averages per field, percentiles, and field rankings) and "research fronts."


Tutorials and Help:
Google Scholar Citations Help Essential Science Indicators video tutorial Essential Science Indicators information


ORCID:
An ORCID identifier (free, requires registration) provides a persistent, numerical identifier for authors, and allows them to identify, definitively, their works. ORCID identifiers are particularly helpful for authors with extremely common names, or names from languages with writing systems that are not Latin-based.


Overview:
The purpose of article-level metrics is to establish the impact of an article. The most common way of evaluating this is to count the number of times an article has been cited in other articles.


Web of Science:
Cited Reference Searches in Web of Science Open Web of Science and select "Cited Reference Search" from dropdown menu Enter author's name, the work's source, and/or publication year for the cited work Select the items for which you want to see cited references, or click "Select All" "Finish Search" to retrieve results


ication year for the cited work Select the items for which you want to see cited references, or click "Select All" "Finish Search" to retrieve resultsWeb of Science: Massive multidisciplinary index of scholarly publications, with especially strong coverage of the sciences and social sciences. Includes numerous sub-databases, most notably the Web of Science Core Collection, which provides cover-to-cover indexing of 21,000+ peer-reviewed journals. Includes citation data for publications, allowing searchers to identify highly cited articles, find citations to a given article/author, and track citations over time. Includes detailed author records and several unique search capabilities, such as the ability to search by author affiliation, grant number, or chemical structure. Also includes awarded grant information and associated publications.


Google Scholar:
Google Scholar Citations is available at: http://scholar.google.com/citations It has the following features: Authors can track their own publications (tracking of other authors' works is only possible if they have a profile). The types of metrics utilized are a simple citation count, h-index, and i10-index. Set up automatic updates to the citation metrics. Manually update your profile. View information on citations for other authors by doing a search for them in Google Scholar and the scholarly metrics information will be listed under the citation information.


Other citation-tracking tools:
These specialized databases can supplement other cited reference searches: MathSciNet Search from the author search tab, search Author Profile to see a citation count for the ten most-cited works. Covers only selected publications indexed from around the year 2000. PsycInfo Cited References when available appear in article record, left column. Click to see times each reference cited in the PsychInfo database, beginning around the year 2000. PubMed Central Search by title, click on the box next to the article on the results page, click on the drop-down box near the top of the page and change it from "Display" to “Cited in PMC.” ScienceDirect Search by author or title. Click on the title of the work and then the "Cited by" link.


Overview:
Altmetrics refers to alternative ways of assessing the impact of authors and publications, usually by including their contributions and mentions in social media (e.g., blogs, Twitter). The tools described on this page are independent of existing databases, though some, like PLoS, are publisher-specific.


Altmetric Tools:
ImpactStory ImpactStory creates a personal altmetrics report, based on the citations you claim in your ImpactStory profile. This report is based on citations, bookmarks, downloads, tweets, and other mention of your citations. You can also create an embeddable widget of your impact report. Altmetric.com The Altmetric service (not to be confused with the general term "altmetrics") aims to give a full record of all of the original shares and mentions of an individual piece of scholarly content. PLoS The Public Library of Science (PLoS) provides metrics for every article published in a PLoS publication. These metrics include amount of times the article has been viewed, cited, downloaded, saved, or discussed through sites like Facebook and Twitter.


Tutorials and Help:
About ImpactStory ImpactStory FAQ Step by Step ImpactStory Help PLOS Data Information PLOS Metrics Videos


Citation Index is a bibliographic tool in print or electronic format that lists all referenced or cited source items published over a given time. The tool that tracks the historical development of an idea covered by a selection of journal titles. Citation indexes include all the references (footnotes or bibliographies) published with each article indexed. Also see the essay: The Concept of Citation Indexing: A Unique and Innovative Tool for Navigating the Research Literature . Eigenfactor Score measures the frequency articles from the journal published in the past five years have been cited in the JCR year. Like the Impact Factor, the Eigenfactor Score is essentially a ratio of number of citations to total number of articles. However, unlike the Impact Factor, the Eigenfactor Score Counts citations to journals in both the sciences and social sciences Eliminates self-citations.


ever, unlike the Impact Factor, the Eigenfactor Score Counts citations to journals in both the sciences and social sciences Eliminates self-citations.ever, unlike the Impact Factor, the Eigenfactor Score Counts citations to journals in both the sciences and social sciences Eliminates self-citations.ever, unlike the Impact Factor, the Eigenfactor Score Counts citations to journals in both the sciences and social sciences Eliminates self-citations.Every reference from one article in a journal to another article from the same journal is discounted Weights each reference according to a stochastic measure of the amount of time researchers spend reading the journal Immediacy Indexes refer to the average frequency articles are cited in the year of publication. It is calculated by dividing the number of citations to articles published in a given year by the number of articles published in that year. The Journal Immediacy Index indicates how quickly articles in a journal are cited. The Aggregate Immediacy Index indicates how quickly articles in a subject category are cited. Journal Cited Half-Life refers to the median age of the articles that were cited in the JCR year. Half of a journal's cited articles were published more recently than the cited half-life.


median age of the articles that were cited in the JCR year. Half of a journal's cited articles were published more recently than the cited half-life. median age of the articles that were cited in the JCR year. Half of a journal's cited articles were published more recently than the cited half-life. median age of the articles that were cited in the JCR year. Half of a journal's cited articles were published more recently than the cited half-life.For example, in JCR 2001 the journal Crystal Research and Technology has a cited half-life of 7.0 meaning the articles published in the 7 years between 1995-2001 (inclusive) account for 50% of all citations to articles from that journal in 2001. Journal Impact Factor measures the importance of a journal with the frequency with which the 'average article' in a journal has been cited in a particular year or period. Journal Self-Citation is a reference to an article from the same journal. Definitions from the Glossary of Thomson Scientific Terminology


The "indexes":
h-index : Developed by J.E. Hirsch in his paper An Index to Quantify an Individual's Scientific Research Output , Proceedings of the National Academy of Sciences of the United States of America 102, Vol. 46 (2005), pp.16569-16572 , the h-index measures the research impact of an individual scholar. g-index: Proposed by Leo Egghe in his paper Theory and Practice of the g-index , Scientometrics, Vol. 69, No 1 (2006), pp. 131-152 , the g-index weighs highly-cited articles more than the h-index does.


Intro to SPSS Guide:
This guide will help you: Import and view data in SPSS Perform basic data analysis in SPSS Create graphs and save your data in SPSS Locate tutorials, how-to videos, and SPSS documentation Workshop resources: Presentation from Basic SPSS workshop


Where can I use SPSS?:
This is a guide to using IBM SPSS 22, which is available on some workstations in the Graduate Center. From the Start menu, choose "All Programs" then navigate to IBM SPSS 22. If the workstation does not have SPSS installed, or if you are accessing SPSS from off-campus, log in to CUNY Virtual Desktop .


Overview:
IBM SPSS Statistics (formerly SPSS Statistics) is software for managing and analyzing data. It can calculate a wide variety of statistics, including descriptive statistics (e.g., frequencies, central tendency, plots, and charts), as well as sophisticated inferential and mutivariate statistics (e.g., factor analysis, cluster analysis, ANOVA).


Other statistical software:
SPSS requires some degree of technical savvy, but allows a significant amount of flexibility when you're analyzing quantitative social sciences data. Other analytical software, offering more or less similar functionality, and requiring more or less technical proficiency include. The following professional-grade software packages allow you to manipulate and visualize data in very complex ways: SAS - Powerful statistical analysis and data management tool, uses command-line interface, particularly good for ANOVA SPSS - Relatively sophisticated data analysis tool, with a user-friendly GUI, geared toward quantitative social sciences data R - Free, versatile option for data analysis and visualization All of these statistical packages are available through CUNY Virtual Desktop , except for R, which is downloadable from the R Project .


Why use SPSS?:
SPSS has a very helpful graphical user interface, which makes performing complex statistical analyses easier. It also supports syntax commands and programming, which allows more flexible and time-efficient manipulation of data.


Sources of data:
American FactFinder Social Explorer ICPSR Bureau of Justice Statistics Federal Reserve Economic Data


Overview:
Generally speaking, there are three main ways to get data into SPSS: Enter data into the Data Editor Import an Excel or text file Import an SPSS file A full list of file formats that SPSS can read is available on the IBM SPSS website .


Viewing data and results:
Data Editor window displays the contents of the data file. You may create new data files, or modify existing ones with the Data Editor. The Data Editor window opens automatically when you start an SPSS session. Output Viewer window displays the statistical results, tables, and charts from the analysis you performed (e.g., descriptive statistics, correlations, plots, charts). An Output Viewer window opens automatically when you run a procedure that generates output. In the Output Viewer windows, you can edit, move, delete and copy your results.


Viewing data and variables:
Data View displays the actual data values or defined labels (you can toggle back and forth using the Value Labels button). E ach colum n = a variable (or field); each row = a case (or observation). Variable View displays variable definition information, including defined variable and value labels, data type (e.g., string, date, or numeric), measurement level (nominal, ordinal, or scale), and user-defined missing values. In both views, you can add, change, and delete information that is contained in the data file.


Variable Names- For spreadsheets, you can read variable names from the first row of the file or the first row of the defined range. The values are converted as necessary to create valid variable names, including converting spaces to underscores. Variable names can be up to 64 characters long and may not contain spaces. Variable Type specifies the data type for each variable. By default, all new variables are assumed to be numeric. Common data types include: Numeric. A variable whose values are numbers. Values are displayed in standard numeric format. The Data Editor accepts numeric values in standard format or in scientific notation. Date. A numeric variable whose values are displayed in one of several calendar-date or clock-time formats. Select a format from the list. You can enter dates with slashes, hyphens, periods, commas, or blank spaces as delimiters.


-date or clock-time formats. Select a format from the list. You can enter dates with slashes, hyphens, periods, commas, or blank spaces as delimiters.-date or clock-time formats. Select a format from the list. You can enter dates with slashes, hyphens, periods, commas, or blank spaces as delimiters.-date or clock-time formats. Select a format from the list. You can enter dates with slashes, hyphens, periods, commas, or blank spaces as delimiters.The century range for two-digit year values is determined by your Options settings (from the Edit menu, choose Options , and then click the Data tab). Dollar. A numeric variable displayed with a leading dollar sign ($), commas delimiting every three places, and a period as the decimal delimiter. You can enter data values with or without the leading dollar sign. String. A variable whose values are not numeric and therefore are not used in calculations. The values can contain any characters up to the defined length. Uppercase and lowercase letters are considered distinct. This type is also known as an alphanumeric variable. Variable Label provides a more descriptive name for the variable. You can toggle between cell values and labels by clicking the Value Labels button. Variable Values allows numerical values to be assigned to nominal or ordinal data, so that it can be analyzed in SPSS. Variable Measure describes how the data can be measured (nominal, ordinal, scale).


Calculate frequencies:
From the Analyze menu, choose "Descriptive Statistics", and then click "Frequencies". The Frequencies dialog box should open. Select the variable(s) you want to analyze. Click the arrow transfer button to move them into the Variables box. Click OK.


Cross-tab comparisons:
From the Analyze menu, choose "Descriptive Statistics", and then click "Crosstabs". The Crosstabs dialog box opens. Select the independent variable and click the transfer arrow button to move it to the Row(s) box. Select the dependent variable and click the transfer arrow button to move it to the Column(s) box. Click OK.


Selecting cases:
Click the Data menu, and then click "Select Cases". The Select Cases dialog box should appear. Choose a variable to filter by, and define any conditional statements. Click OK Usually you will then redo a previous analysis to see how the selected cases are affected. To clear selected cases, click the Data menu, and then click "Select Cases". Select "All cases", then click OK.


Splitting files:
Splitting a file lets you analyze one variable simultaneously on two groups and see how the results compare. Click the Data menu, and then click "Split File". The Split File dialog box will appear. Select the variable you wish to base your groups on. Select the "Compare groups" option. Click the transfer arrow button to move the variable to the "Groups Based on" box. Click OK. Perform (or rerun) your analysis to see how these groups compare.


Chi-Square Test:
The Chi-Square Test lets you compare categorical variables between groups: Do men and women have similar opinions on sex education in public schools? Do members of different religions have similar views on abortion? To perform a Chi-Square Test in SPSS: From the Analyze menu in SPSS, choose “Descriptive Statistics,” and then “Crosstabs.” A Crosstabs dialog box should appear. Highlight each variable individually and move it to the row or column position by clicking the arrow transfer button. Generally, independent variables are placed in rows, and dependent variables in columns. Click the Statistics button, located at the bottom of the Crosstabs window. A Statistics dialog box should appear. Select “Chi-Square” from the options in the Statistics and click “Continue.” Click OK.


T Test:
The T Test lets you compare continuous variables between two categorical groups: Are gasoline prices in California the same as the national average? Is average age the same between those who have/haven’t seen an X-rated film in the past year? To perform an Independent-samples T Test in SPSS: Choose “Compare Means” from the Analyze menu. Choose “Independent-Samples T Test” from the options provided. An Independent Sample T test dialog box should appear. Highlight the name of the dependent variable from the list appearing in the upper left corner of the window. Click the arrow transfer button to move it to the Test Variable(s) box. Highlight the name of the independent variable from the list appearing in the upper left corner of the window. Click the arrow transfer button to move it to the Grouping Variable box. Click on “Define Groups”. A Define Groups dialog box should appear. Provide variable values for two groups you're comparing. Click OK.


ANOVA:
ANOVA lets you compare continuous variables (usually averages of values) between three or more groups: Do members of different ethnic groups have the same average income? Do members of different religious groups watch the same number of hours of tv? To perform a One-Way ANOVA in SPSS: Choose “Compare Means” from the Analyze pull-down menu. Choose “One-Way ANOVA” from the options provided. A One-Way ANOVA dialog box should appear. Highlight the name of the dependent variable from the list appearing in the upper left corner of the window. Click the arrow transfer button to move it to the Dependent List box. Highlight the name of the independent variable from the list appearing in the upper left corner of the window. Click the arrow transfer button to move it to the Factor box. Click “Options” and s elect “Descriptive” from the list of statistics in this window. Then, click "Continue". Click OK.


Correlation & Regression:
Correlation & Regression Tests let you compare two or more continuous variables: Is the number of hours spent watching tv related to someone’s age? Is family income related to hours spent watching tv? To perform a Linear Regression Test in SPSS: Select “Regression” from SPSS’s Analyze pull-down menu and select the “Linear” option. A dialog box for Linear Regression should appear. Move the independent and dependent variables to the appropriate boxes on the right by clicking the arrow transfer button. Click OK.


Variables in SPSS:
Nominal - unranked categories (sex, ethnicity, occupation, place of birth) Ordinal - ranked categories (“on a scale of 1-5, how much do you agree with this statement…”) Scale - numbers (# of pets, years of education, annual salary) Nominal and ordinal variables are sometimes called "categorical", while scale variables are called "continuous".


Layout View:
There are two main ways to create charts and graphs in SPSS. From the Menu bar, choose "Graphs" and then "Chart Builder" to drag chart types and variables directly onto a staging area. From the Menu bar, choose "Graphs" and then "Legacy Dialogs" to select a particular chart type. This guides you through more advanced chart settings based on which variables you want to include. To format your chart (add titles, change colors, transpose axes), double-click on it in the Output Viewer.


Exporting data:
You can export data from SPSS in a variety of file formats, including .sav (SPSS), .por (portable SPSS), .xls or .xlsx (Excel), and .dat (ASCII text) as well as STATA and SAS formats. A full list of formats is available at the SPSS website.


Web resources for SPSS:
SPSS Official Manuals SPSS for Students (University of Wisconsin) Resources to help you learn and use SPSS (UCLA) SPSS Frequently Asked Questions (UCLA) Data analysis in SPSS, STATA, SAS, and R


SPSS video tutorials:
SPSS tutorial on Lynda.com is available free, on-site at NYPL SIBL next to the Grad Center. 10-part series on SPSS from University of Minnesota for free on iTunes. SPSS Video Tutor


E-Books on SPSS:
SPSS for Starters Quantitative and Statistical Research Methods Quantitative Data Analysis Using SPSS


Finding Data: This is a guide for finding demographic, economic, social, health, and environmental data sets that you can analyze, visualize, and map.


Guide to Finding Data:
Finding data sources related to: Demography & Populations Education & Housing Labor & Economics Health & Environment Law, Politics & Conflict Related guides: Analyzing and visualizing data Mapping data Workshop resources: Presentation from Finding Data workshop


Other resources:
DataCenter Web Resources How to cite a data set (NCSU) How to read a codebook


Searching for data:
When searching for data, ask yourself these questions... Who has an interest in collecting this data? If federal/state/local agencies or non-governmental organizations, try locating their website and looking for a section on research or data. If social science researchers, try searching ICPSR. What literature has been written that might reference this data? Search a library database or Google Scholar to find articles that may have used the data you're looking for. Then, consult their bibliographies for the specific name of the data set and who collected it.


Evaluating data:
Is the data... From a reliable source? Who collected it and how? Available to the public? Will I need to request permission to use it? Are there any terms of use? How do I cite the data? In a format I can use for analysis or mapping? Will it require any file conversion or editing before I can use it? Comparable to other data I'm using (if any)? What is the unit of analysis? What is the time scale and geography? Will I need to recode any variables?


Analyzing data:
The following professional-grade software packages allow you to manipulate and visualize data in very complex ways: SAS - Powerful statistical analysis and data management tool, uses command-line interface, particularly good for ANOVA SPSS - Relatively sophisticated data analysis tool, with a user-friendly GUI, geared toward quantitative social sciences data R - Free, versatile option for data analysis and visualization All of these statistical packages are available through CUNY Virtual Desktop , except for R, which is downloadable from http://www.r-project.org/


Where to start:
Local data NYC OpenData New York City Census FactFinder Neighborhood Data Portal National/state data American FactFinder FedStats (to find website of relevant agency) Data.gov International data UNdata International statistical agencies Survey/study data ICPSR: Interuniversity Consortium for Political & Social Research


General American Factfinder (U.S. Census) A gateway or portal to several major U.S. Census products: 2000 and 2010 decennial census of population and housing; annual population estimates; 1997 and 2002 Economic Census; American Community Survey. Retrieve summary tables and maps for display and download . Social Explorer Allows easy creation of maps and charts from demographic data (American Community Survey, Census). National Survey of Families and Households Life history data on family composition, marriage, child-rearing, and family interactions. Data and documention downloads are freely available. Population-specific New Immigrant Survey A panel survey of new legal immigrants to the U.S. Public use data can be downloaded from the site but require pre-registration. GenderStats Health, education, economic, and demographic indicators from national statistical agencies, UN, and World Bank sources.


pre-registration. GenderStats Health, education, economic, and demographic indicators from national statistical agencies, UN, and World Bank sources. pre-registration. GenderStats Health, education, economic, and demographic indicators from national statistical agencies, UN, and World Bank sources. pre-registration. GenderStats Health, education, economic, and demographic indicators from national statistical agencies, UN, and World Bank sources.Minority Data Resource Center Maintains and delivers data resources for study of the experiences of members of American racial and ethnic minority groups. Many studies can be explored by using the online analysis feature for selection,extraction, and download. MDRC is one of the ICPSR topical archives. Kids Count Data Center Retrieve state and city profiles containing 100 meaures of child wellbeing (for example, poverty, infant motality, family status, household characteristics). A separate Community-Level Information for Kids (CLIKS) data feature compiles a large amount of state- and local-level data to produce community profiles on the educational, economic, and health environments important to the well-being of children.


New York:
New York City Census FactFinder


International:
UNdata World Values Surveys Perform simple statistical functions on WVS data or extract and download variables of your choice. Surveys from the four can also be downloaded from ICPSR.


Education:
National Center for Education Statistics (NCES) NCES is the primary federal entity for collecting and analyzing data that are related to education in the United States. Child Care and Early Education Research Connection Links to research datasets, statistics, and reports, with the goal of providing information to researchers and policy makers. Many links to state-level data sources.


Housing:
American Housing Survey Conducted by the U.S. Census Bureau on behalf of the Department of Housing and Urban Development. Consists of a biennial "core" survey based on a national sample and a metropolitan area survey covering about 20 large urban areas on a 4-year rotating basis. Housing Data Sets Portal to important HUD datasets (e.g., American Housing Survey, Property Owners and Managers Survey, Residential Finance Survey) and GIS files designed for use with HUD data. House Price Index Broad indicator of changes in single-family house prices by Census region, state, and metropolitan area. Compare up to 3 geographic areas online or download historical quarterly data back to 1975 (when available).


New York:
NYC Public Schools data Includes student/school performance, demographics, and operational data. Excel files available for free download. CoreData.nyc Demographic , socioeconomic, and housing data by neighborhood. Department of Homeless Services. Statistics & Reports


International:
UNESCO Institute for Statistics Create, manipulate, and download data on education, communication, and literacy.


Labor:
U.S. Bureau of Labor Statistics The Bureau of Labor Statistics is the principal fact-finding agency for the Federal Government in the field of labor economics and statistics. Local Area Unemployment Statistics Monthly estimates of total employment and unemployment for states, metropolitan areas, counties, larger cities and towns. Union Stats Union membership data c ompiled from the Current Population Survey. National, state, and metro area estimates.


General National Bureau of Economic Research Excellent source of historical economic and trade data, as well as some series on health care and vital statistics. Federal Reserve Board Links to current and historical statistical series, reports and data associated with FRB surveys such as the Survey of Consumer Finances and Survey of Small Business Finances. Population-specific State and Local Area Personal Income State, county, and MSA personal income, including per capita income back to 1969. Produced by the Bureau of Economic Analysis. Small Area Income and Poverty Estimates Estimates on number of families and children living in poverty, median household incomes. Most estimates are available for states, counties, and school districts. Produced by the U.S. Census Bureau. Consumer behavior Consumer Expenditure Surve y Survey conducted by the Census Bureau on the buying habits and expenditures of households.


nsus Bureau. Consumer behavior Consumer Expenditure Surve y Survey conducted by the Census Bureau on the buying habits and expenditures of households.nsus Bureau. Consumer behavior Consumer Expenditure Surve y Survey conducted by the Census Bureau on the buying habits and expenditures of households.nsus Bureau. Consumer behavior Consumer Expenditure Surve y Survey conducted by the Census Bureau on the buying habits and expenditures of households.Data are collected by a quarterly interview survey and weekly diary survey (mutually exclusive samples). Many summary tables are produced (by year, limited geographic areas, household characteristics), and you can create custom tables on the site.


New York:
Labor statistics for the NYC region Wage, employment, and business data from the NY State Department of Labor.


International:
World Development Indicators World Development Indicators allows you to select from a wide range of national demographic, environmental, and economic indicators. World Income Inequality Database Indicators measuring inequality (including Gini coefficients) in over 150 countries, including those with transitional and developing economies.


General Climatetrace National Center for Health Statistics Centers for Disease Control and Prevention - Data & Statistics National Health Interview Survey This site provides data, documentation, questionnaires, input programs, and publications based on the survey for 10 years, including many supplements. Most of these and older years are also available from ICPSR. Center for Population Health and Health Disparities Associated with the RAND Corporation, the CPHHD Data Core compiles a large number of health-related measures. These data focus on population and housing characteristics (largely drawn from the U.S. Census), the aging population, cost-of-living variables, pollution, and neighborhood "connectivity." Health and Medical Care Archive Includes data related to healthcare personnel and staffing, healthcare delivery, chronic illness, and access to healthcare services.


ical Care Archive Includes data related to healthcare personnel and staffing, healthcare delivery, chronic illness, and access to healthcare services.ical Care Archive Includes data related to healthcare personnel and staffing, healthcare delivery, chronic illness, and access to healthcare services.ical Care Archive Includes data related to healthcare personnel and staffing, healthcare delivery, chronic illness, and access to healthcare services.Population-specific State Health Facts State comparisons of health status, poverty, insurance coverage, topics in minority and women's health, HIV/AIDS, care costs, and Medicare/Medicaid issues. Most data for the current year only. Disability Statistics Up-to-date disability statistics and reports based on Census data. Flexible search, extraction, and display features. Centers for Medicare and Medicaid Services Links to cost and service utilization data related to Medicare and Medicaid programs. Many tables down to the county level. Substance Abuse and Mental Health Data Archive SAMHDA provides tools to access and use research data and is supported by the U.S. Department of Health and Human Services.


Environment:
Consortium for International Earth Science Information Network (CIESIN) Demographic and environmental datasets. Click through to the Socioeconomic Data and Applications Center (SEDAC) for data on environment quality, sustainability, and human-environment interaction . EPA Developer Central Data Finder Access to environmental data organized by subject. National Climatic Data Center (NCDC) Data related to climate and historical weather trends and events.


New York:
NY State Department of Health - Statistics and Data Wide variety of compiled data on vital statistics, accidents and injuries, nutrition, health care services, and other public health topics. Community Health Assessment Clearinghouse Statistics on population, perinatal health, mortality, causes of hospitalization, and disease morbidity. NY State Office of Mental Health - Statistics and Data County and state-level tables on client characteristics, funding by program type, psychiatric center admissions.


Demographic and Health Surveys A series of surveys conducted in over 60 countries in Asia, Africa, South and Central America, and the Middle East. Surveys measure family characteristics, health status, and household wealth. World Fertility Survey


Politics:
American National Election Study Election Assistance Commission - Research and Data National and state-level voter registration and turnout for federal elections. National turnout statistics by age, gender, and race. Some historical data back to 1960. Campaign Finance Disclosure Portal The FEC provides public access to campaign contributions to federal representatives and candidates, and the major national parties. To search by candidate/representative click US HOUSE/SENATE CAMPAIGN MONEY. Correlates of War COW Project distributes several historical datasets coding international events back to the 1800s. Data include territorial changes, interstate alliances, and inter- and intrastate warfare.


Law:
Federal Bureau of Investigation: Uniform Crime Reporting The most comprehensive annual, statistical breakdown of crime in the U.S.  The website includes racial, age, gender, and nationality data sets. Federal Justice Statistics Program Compilation of information from several federal agencies describing suspects and defendants in the criminal justice system. National Archive of Criminal Justice Data Funded by agencies within the Department of Justice, which also is the source of the data collections in the archive, and maintained as a topical archive within ICPSR. F eatures data resource guides that highlight important data collections on topics such as homicide, violence against women, and capital punishment.


New York:
Historical NYC crime data Crime and offense data from 2000-2010. New York City Statistical Report: Complaints and Arrests (PDF only) Crime and Enforcement Activity in New York City (PDF only)


International:
VoteWorld US Congress, European Parliament, and British Parliament roll call data, as well as selected historical series from 18 other countries. Country Indicators for Foreign Policy Economic, social, environmental, and military indicators for over 100 countries. Create dynamic maps or charts and download extracts. Correlates of War COW Project distributes several historical datasets coding international events back to the 1800s. Data include territorial changes, interstate alliances, and inter- and intrastate warfare.


Analyzing & Visualizing Data: This is a guide to web applications and downloadable software that can help you analyze and visualize data.


Guide to Analyzing & Visualizing Data:
This guide was developed as part of a series of workshops on "Data for Social Justice." Related guides: Finding data Mapping data SPSS


Related web guides:
Essential Collection of Visualisation Resources (Visualisingdata.com) Visualization Tools (Visualizingadvocacy.com) Social Justice Through Data (tips for engaging viewers from MIT blog)


Basic chart and graph applications:
Datawrapper Upload your data (as CSV) or copy/paste it into this free web application to make a quick chart that is publishable to the web. Google Public Data Easily create line, bar, and bubble graphs from publicly available data sets and metrics. infogr.am Add/edit data to create more than 30 chart types that you can combine with text to create compelling infographics .


More sophisticated options:
Tableau Public Free downloadable software that works well with survey data, allowing you to filter data and recode variables, as well as create a variety of charts and graphs. Tableau Public video tutorials Sample data sets Examples of Tableau Public projects posted by UConn SDA (Survey Documentation Analysis) Developed at UC Berkeley, SDA is a web-based tool that is integrated into various collections of survey data, including the General Social Survey (GSS) and the American National Election Study (ANES), as well as microdata found in the Integrated Public User Microdata Series (IPUMS) which includes a more fine-grained version of Census data. Online help files for SDA Books, instructional materials, and tutorials Gephi Open source platform for visualizing networks and complex systems, including dynamic and hierarchical graphs. Gephi tutorials Gephi basics (PDF handout)


Fully featured analytic software:
The following professional-grade software packages allow you to manipulate and visualize quantitative data in very complex ways: SAS - Powerful statistical analysis and data management tool, uses command-line interface, particularly good for ANOVA SPSS - Relatively sophisticated data analysis tool, with a user-friendly GUI, geared toward quantitative social sciences data R - Free, versatile option for data analysis and visualization Each of these statistical packages are available through CUNY Virtual Desktop , except for R, which is downloadable from http://www.r-project.org/ How do I choose? Choosing statistical software (online video, 36 minutes) Brief comparison between SAS, STATA, and SPSS (PDF) Choosing the correct statistical test in SAS, STATA, SPSS, and R Institute for Digital Education & Research, UCLA)


Other interesting tools:
Open Refine (formerly Google Refine) makes it easier to clean up messy data and convert it into different formats. Tabula is a tool for liberating data tables from PDFs. GraphClick allows you to retrieve (x,y) coordinate data from the image of a scanned graph.


Themed visualization applications:
World Bank DataBank uses "bubble charts" to display social, economic, and health data from over 200 countries. Gapminder is a tool for exploring and comparing global development indicators Sunlight Foundation makes available a number of visualization tools related to politics and transparency, including "Lobbying Tracker" which tracks lobbying activity and "Capitol Words" which explores the most popular words and phrases used by legislators in the U.S. Congress.


Mapping Data: This is a guide to various software and web applications that let you create maps.


Guide to Mapping Data:
This guide was developed as part of a series of workshops on "Data for Social Justice." Related guides: Finding data Analyzing & visualizing data


Workshops and training:
Introduction to GIS using Open Source Software is a day-long workshop offered at Baruch each semester. Current graduate students, faculty and staff from throughout CUNY can register. Visit the GIS practicum page for eligibility, registration, and course details.


Basic mapping applications:
The National Map Viewer USGS tool creates multi-layered maps incorporating a wide variety of social and environmental/geological data. Maps can be emailed, printed, or saved. Mapping the Measure of America allows state- and county-level mapping of demographic, health, education, income, and security data. A project of the Social Science Research Council. SEDAC Map Client lets you create global and regional maps on themes ranging from poverty and governance to sustainability and conservation. NASA Worldview allows you to interactively browse global satellite imagery. Users can overlay and visualize a subset of social/political map layers in conjunction with satellite images. Social Explorer Graduate Center/CUNY licensed resource allows you to create thematic maps and download current and historical data.


Advanced mapping applications:
ArcGIS Explorer free, downloadable GIS viewer lets you fuse local data with existing map layers to create custom maps. Google Fusion Tables allows you to combine data values and KML polygon boundaries from your own or other data sources.


ArcGIS:
ArcGIS is the industry standard proprietary GIS software package and is produced by Esri (formerly ESRI, or Environmental Systems Research Institute). It is a Windows-only suite of programs: ArcMap: for making maps and conducting analyses ArcCatalog: for organizing data and metadata, similar to "My Computer" on a Windows PC ArcScene: incorporates 3D visualizations of terrain into maps ArcGlobe: for 3D visualizations of very large raster or vector data sets ArcGIS 10.1 Desktop is available on all workstations in the Graduate Center Library. From the Start menu, choose "All Programs" then navigate to ArcMap.


QGIS:
Quantum GIS (QGIS) is a user-friendly open source GIS software package licensed under the GNU General Public License. QGIS is an official project of the Open Source Geospatial Foundation (OSGeo). It runs on Linux, Unix, Mac OSX, Windows and Android and supports numerous vector, raster, and database formats and functionalities. It is available for download from the QGIS Project website . GRASS GIS is a free and open source GIS software suite used for geospatial data management and analysis, image processing, graphics and maps production, spatial modeling, and visualization. GRASS GIS is currently used in academic and commercial settings around the world, as well as by many governmental agencies and environmental consulting companies. It is available for download from the GRASS GIS website.


Spatial data:
New York City MapPLUTO - NYC tax lot data and features BYTES of the BIG APPLE - boundary, zoning, and streets data Baruch's GIS Data Repository - includes a mix of public and Baruch/CUNY-only data New York State NYS GIS Clearinghouse Cornell University Geospatial Information Repository (CUGIR) Neighborhood Data Portal United States Census Bureau TIGER Products Includes shapefile boundaries for Census geographies. USDA Geospatial Data Gateway from the US Dept. of Agriculture International Data by Country From DIVA-GIS UNEP GEO Data Portal from the UN Environment Programme


Geocoding tools:
Texas A&M Geocoding Services Google Fusion Tables


Themed mapping sites:
NPL Superfund Footprint Columbia University-based project lets you "visualize and understand the characteristics of vulnerable populations, built and natural features, and environmental exposures near the National Priorities List Superfund sites" CHANGE Viewer allows the exploration of climate science, human and socio-economic datasets. NY Times Mapping America allows you to browse and map census tract-level data related to race/ethnicity, income, housing/families, and education from the American Community Survey from 2005-2009.


Entrance Requirements:
To enter the library, patrons must present one of the following photo IDs: CUNY Photo ID (student, faculty, staff, or retiree) with a current validation sticker (if applicable) Graduate Center Photo ID: Graduate Center or CUNY BA alumni (non-GC CUNY alumni have access to their home libraries only) Visiting research scholars Graduate Center research assistants Interuniversity Doctoral Consortium students (Columbia, Fordham, New School, NYU, Princeton, Rutgers, SUNY Stonybrook) Empire State College Photo ID A government-issued photo ID alongside special privileges card: Graduate Center Research Assistant Friends of the Graduate Center Library Associates Language Reading Program METRO Referral A valid photo ID issued by a SHARES Institution


Library Privileges:
Graduate Center / CUNY / SUNY Graduate Center Students Graduate Center Faculty, Staff, Retirees, and CUNY Doctoral Faculty Graduate Center Language Reading Program Students Graduate Center Research Assistants CUNY Affiliates (Non-GC) CUNY School of Labor and Urban Studies CUNY School of Professional Studies Lifelong Peer Learning Program (Lp2) SUNY Empire State College Alumni Non-GC CUNY Alumni Retirees Other Visitors Friends of the Library Members of the Public (including guests) METRO Referral Visitors SHARES Visitors Visiting Research Scholars Visiting Students


OLD Who Can Use the Library?:
Graduate Center Students (including Special Program, Interuniversity Doctoral Consortium, Auditors, Non-Matriculated Students, and Language Reading Program Students) Graduate Center Faculty and Staff (including ASRC Faculty and Staff) CUNY School of Labor and Urban Studies Students, Faculty, Staff CUNY Students, Faculty, and Staff Graduate Center Alumni Research Assistants for GC Faculty, Etc. Graduate Center Retirees Other Visitors (non-CUNY researchers, visiting research scholars, SUNY Empire State students, guests of GC affiliates)


Directions:
Graduate Center Library 365 Fifth Avenue New York NY 10016-4309 (212) 817-7040 Google Map Enter the library through the lobby of the building, on the 1st floor. Subways: B/D/F/M/N/Q/R to 34th St./Herald Square (between 6th Ave. and Broadway) 1/2/3/A/C/E to 34th St./Penn Station (between 7th and 8th Ave.) 6 to 33rd St. (at Park Ave.) Buses: M1/M2/M3/M4/M5/M34/Q32 to Fifth Ave. at 34th St. Other Public Transportation: PATH trains to 33rd St. (between 6th Ave. and Broadway) NJTransit and LIRR trains to Penn Station (34th St. between 7th and 8th Ave.) Metro-North trains to Grand Central Terminal (42nd St. at Park Ave.) Buses to Port Authority Bus Terminal (8th Ave. between 41st and 42nd St.)


Graduate Center / CUNY / SUNY:
View detailed library privileges by patron category below. Have a question about accounts? Find out which account to use with which service . Graduate Center Graduate Center Students Graduate Center Faculty (Central-Line and Consortial) and Staff Graduate Center Research Assistants Alumni Retirees Graduate Center Language Reading Program Students Lifelong Peer Learning Program (Lp2) CUNY CUNY Affiliates (Non-GC) Please also note: Library services are provided at other CUNY libraries for the School of Journalism, School of Professional Studies, School of Public Health. CUNY School of Labor and Urban Studies Macaulay Honors Faculty and Staff Note that Macaulay Honors College students are served by the libraries at their home campus. Non-GC CUNY Alumni SUNY SUNY Empire State College


Other Visitors:
Friends of the Library Members of the Public (including guests) METRO Referral Visitors SHARES Visitors Visiting Research Scholars


Access to Other CUNY Libraries:
CUNY faculty, students, and staff may visit and borrow from all other CUNY libraries , except the CUNY School of Law. They may also request delivery of circulating items from other CUNY collections by placing a request in the CUNY catalog. This service is known as CLICS Intra-CUNY Borrowing . Databases licensed only to specific CUNY campuses may be used on site at those campuses only. (Curious about a specific library's hours or policies? Consult that library's website .) Additionally, Graduate Center affiliates can request books and articles unavailable at CUNY through Interlibrary Loan (ILL) . To ensure you receive e-mail notifications from the library, please keep your e-mail current on CUNYfirst if you are a current student, staff, or faculty member. If you are another community member please contact your circulation and ILL staff to update this information.


Library Accounts:
Effective August 3, 2020, your library account is now tied to your CUNYfirst credentials and is created automatically. There is no need to activate a library account; data is harvested from CUNYfirst every two days, so please allow time for the information from CUNYfirst to appear in the library system. New students, faculty, and staff can go directly to OneSearch and login to view loans, renew items, and place requests. Please be sure to keep your personal information updated in CUNYfirst.


CUNY Accounts:
In addition to your library account, there are other accounts users need at CUNY.  These include GC Network Accounts, GC Email, CUNYFirst, CUNY Portal, CUNY Virtual Desktop, CUNY Academic Commons, OpenCUNY, and others.  Learn more about them on the CUNY Accounts page.


Questions?:
Contact the Circulation Desk (212) 817-7083 circ@gc.cuny.edu


Register for a Library Account:
To borrow books from any CUNY library, first register for a library account at the Circulation Desk with a current GC photo ID. Keep your e-mail current with circulation and ILL staff to receive library e-mail notices. Non-GC CUNY students obtain CUNY photo IDs at their home institutions. All CUNY students, staff, and faculty may borrow books from all CUNY libraries, except the CUNY School of Law Library. GC Alumni register for a library account here .


Need a GC ID Card?:
Take registration and bursar receipts (or letter from GC Provost or program Executive Officer) to room 9123, phone x7769, to obtain a GC photo ID with current semester validation sticker. Students not taking courses but maintaining matriculation must pay registration fees to obtain an ID.


CUNY libraries have uniform borrowing periods for regular-loan, circulating books only. Policies may differ significantly for other library materials. For details, see CUNY Libraries Circulation Policies and CUNY library websites. Grad Center Library borrowing limits are shown below.  For more detailed information, see the Privileges Chart for each patron category at the GC. Books : 16 week loans, can be renewed up to up to 48 weeks, unless item is recalled. Media (VHS tapes, DVDs, and CDs) at the 1st floor circulation desk, loaned 7 days to all users, no renewals. Overdue fine $1.20 per day. Reserve books: 2 hour loans. Overnight reserve loans begin 2 hours before the library closes for return by 1 hour after the library opens the next day. Reserve VHS, DVDs, and CDs: 3 hour loans. Overdue fine $0.10/minute Equipment and devices: 8 week loan, can be renewed up to 24 weeks, unless item is recalled. Overdue fine $15.00 per hour. See more details on equipment loans .


and devices: 8 week loan, can be renewed up to 24 weeks, unless item is recalled. Overdue fine $15.00 per hour. See more details on equipment loans . and devices: 8 week loan, can be renewed up to 24 weeks, unless item is recalled. Overdue fine $15.00 per hour. See more details on equipment loans . and devices: 8 week loan, can be renewed up to 24 weeks, unless item is recalled. Overdue fine $15.00 per hour. See more details on equipment loans .Periodicals and reference books circulate with permission from a 2nd floor reference librarian Non-Circulating items, dissertations, theses, microforms, and special collection materials stay in the library Borrowers receive a due date slip at check-out and are responsible for returning items in good condition by the date or for renewing on time. The library catalog system emails courtesy reminder notices 3 days prior to due dates. To receive notices, borrowers must keep email addresses current within CUNYfirst for current students, faculty, and staff. Others can update their email by contacting library circulation. Users may also check due dates and renew online via My Account in OneSearch. Borrowers are responsible for all fines and fees, even if an email notice is missed.


Renewing & Returning Materials:
Renew materials by logging into My Account in OneSearch. Each renewal moves the due date back 16 weeks from the time of the renewal. CUNY libraries have different loan lengths for borrower types. You may not renew via My Account if: a book has been requested by another borrower or course reserve you have $25 or more in CUNY-wide fines you have multiple overdue or LOST items. Items are marked as Lost once they are overdue for more than 60 Days. GC users in violation of the above conditions may request a renewal via the GC’s renewal form . Interlibrary Loan (ILL) renewals can be requested online in the user's ILL account , subject to lending library approval. Return CUNY library books to any CUNY library. Exceptions: Interlibrary loans, reserve loans, and all non-book media (microforms, VHS, DVDs, CDs), music scores, and other special loans must be returned directly to the lending library’s circulation desk.


CLICS Intra-CUNY Borrowing:
CUNY students, faculty, and staff may borrow from every CUNY library except the CUNY School of Law Library. CLICS Intra-CUNY Borrowing is offered to all CUNY-wide users.


Recalls:
CUNY borrowers may avoid recalling books from CUNY readers by using Interlibrary Loan to request titles unavailable in CUNY libraries. However, instead of using interlibrary loan, CUNY borrowers may also request currently checked-out items using the “Request a Copy” or “Request This Copy” links in the library catalog, or by asking library circulation staff to issue a recall. Requests generate an email notice informing the current borrower of the recall. The first borrower is guaranteed the initial loan length; renewal is denied after a recall request is placed. If a recalled item has already been renewed, it is given a new, earlier due date — 10 days from the date the recall request is placed. Seven-day and reserve loans may not be recalled. Overdue recalled items are fined at a higher rate of $1/day. Unreceived email notices do not relieve any borrower of responsibility for fines and fees.


If a book is missing: Check the re-shelving area on the east side of the library’s 2nd floor. If no luck, fill out a “Search Card” from a librarian on the 2nd floor. Include your name and phone or e-mail address on the back. Submit the card to the circulation staff on the 1st floor for searching. Request the item via CLICS Intra-CUNY Borrowing . If it is not available through CLICS, request it via Interlibrary Loan (ILL) , with a note that the item could not be found on the shelves.


Special Notice: CUNY-Wide Overdue and Recall Fines Suspended:
Beginning March 14, 2020, all CUNY libraries will suspend regular overdue fines and recall overdue fines.  Overdue reserve fines will remain unchanged given that reserve loans originate from the physical lending points. These changes are to reduce the need for students to return material to campuses or to negotiate fine payments in-person during the period affected by coronavirus closures.


ORIGINAL Renewing & Returning Materials:
Renew materials by logging into My Account in OneSearch. To maximize loan lengths, renew titles just before they are due, not far in advance. CUNY libraries have different loan lengths and renewal policies for all borrower types. You may not renew via My Account if: a book has been requested by another borrower or course reserve you have $25 or more in CUNY-wide fines you have loans more than 8 days overdue GC users in violation of the above conditions may request a renewal via the GC’s renewal form . Interlibrary Loan (ILL) renewals can be requested online in the user's ILL account , subject to lending library approval. Return CUNY library books to any CUNY library. Exceptions: Interlibrary loans, reserve loans, and all non-book media (microforms, VHS, DVDs, CDs), music scores, and other special loans must be returned directly to the lending library’s circulation desk.


SPECIAL NOTICE:  CUNY-Wide Overdue and Recall Fines Suspended:
CUNY libraries have suspended regular overdue fines as well as fines for some of the recalled items. Also, all CUNY libraries now allow one renewal of regular circulating items. Additionally, interlibrary loan staff will automatically request renewals of ILL items on your behalf. Please note that you can return CUNY library books to any CUNY library, with the following exceptions: Interlibrary loans, reserve loans, and all non-book media (microforms, VHS, DVDs, CDs), music scores, and other special loans must be returned directly to the lending library’s circulation desk. For updates, subscribe to the library blog and follow us on Twitter .


Overdue Fines:
All Library fines must be paid at the school where they originated. CUNY-wide fines are generally $0.25/day, with higher fees for overdue recalled ($1.00 per day) and reserve material ($0.10/minute). A $25 total in CUNY-wide fines blocks CUNY-wide library privileges. Long overdue replacement costs and fees must be paid at the lending library. For a complete list of CUNY-wide loan, renewal, and fine schedules, see CUNY Libraries Circulation Policies . Graduate Center fine schedules are outlined in the Fines & Fees box below. Long overdue books generate registration, transcript, and graduation blocks, which must be cleared at a borrower’s home library after making payment at the lending library.


Graduate Center Library Fines & Fees:
Overdue materials: Circulating books: $0.25/day Recalled books: $1.00/day Media (DVD, CD, VHS): $1.20/day Reserve items: $0.10/minute Interlibrary loan items: $0.25/day Lost items: Item cost + $25 processing fee


The email notice schedule for CUNY loans: Immediately upon arrival – CLICS pick-up notice Immediately upon request by another borrower – Recall notice 3 days prior to due date – courtesy notice reminder to return or renew items coming due 7 days after due date – 1st overdue notice 21 days after due date – 2nd overdue notice, online renewal blocked 40 days after due date – 3rd overdue notice 50 days after due date – lost/replace notice, non-refundable $25 processing fee added to accumulated fines, book replacement price assessed ($45 minimum) All CUNY library privileges blocked at $25 CUNY-wide overdue fines Borrowers are informed of due dates at the point of loan. Missed overdue notices or lost date due slips do not mitigate borrower responsibility for applicable overdue fines. Items may be rush recalled, with new earlier due dates, for use by course reserve. Rush recalls generate an immediate email notice of any new due date. Higher fines apply to overdue rush recalls.


due dates, for use by course reserve. Rush recalls generate an immediate email notice of any new due date. Higher fines apply to overdue rush recalls.due dates, for use by course reserve. Rush recalls generate an immediate email notice of any new due date. Higher fines apply to overdue rush recalls.due dates, for use by course reserve. Rush recalls generate an immediate email notice of any new due date. Higher fines apply to overdue rush recalls.These recalls may be placed only by CUNY circulation staff.


Questions?:
Questions? Ask a Librarian Reference Desk: (212) 817-7077


CLICS: Request Books From Other CUNY and SUNY Libraries:
You can have books from any CUNY or SUNY library sent to any other CUNY Library, including the Graduate Center. Locate the item you want from the library catalog, sign in, and find the request options in the 'Get it' section. CLICS can only be used for books. If you need photocopies of an article or book chapter, or if you are seeking other material types, please submit an interlibrary loan request. Have questions? Check out the CLICS FAQs .


SCLICS Requests Step by Step:


SCLICS Requests Step by Step:SCLICS Requests Step by Step:Make a Request Locate materials in OneSearch using any of the search scopes (GC, GC + CUNY Libraries, or SUNY Libraries). If you haven't signed in yet, you can do so by clicking in the yellow banner and entering your CUNY login information. After logging in, request options are under " How to get it. " Click "Request a physical copy." You will be prompted to select a pickup location, input additional details (if requesting a specific volume for example), and asked if you'd like to "Look beyond CUNY" to allow SUNY libraries to fulfill the request. If a request is being filled by SUNY, the item must be picked up at the library whose website was used to make the request, ignoring the preferred pickup location. For example, if you wanted to send a SUNY item to Queens College, you must use the Queens College Library website to place the request. Click on "Send Request" You will receive an email when your book is available for pick-up.


se the Queens College Library website to place the request. Click on "Send Request" You will receive an email when your book is available for pick-up.se the Queens College Library website to place the request. Click on "Send Request" You will receive an email when your book is available for pick-up.se the Queens College Library website to place the request. Click on "Send Request" You will receive an email when your book is available for pick-up.If you make a request through OneSearch for an item that is not available at any CUNY or SUNY libraries, you will be notified by email. You then can still place an interlibrary loan request.


CLICS Request Step by Step:
Make a Request Locate materials in OneSearch using the "GC+CUNY Libraries" search scope. When you are logged in, request options are under " How to get it. " You must be logged in to your OneSearch account to place requests. If you haven't signed in yet, you can do so by clicking in the yellow banner and entering your CUNY login information. After logging in, click "Request a physical copy." You will be prompted to select a pickup location, input additional details if requesting a specific volume for example, and asked if ADA accommodations are required. Click on "Send Request" You will receive an email when your book is available for pick-up.


CLICS vs. Interlibrary Loan:
When should you use CLICS and when should you use Interlibrary Loan (ILL) ? Use CLICS for: Books that may be available at any CUNY or SUNY library Use ILL for: Any book, especially those not owned by other CUNY libraries Journal articles not available at the Graduate Center Library A/V materials such as DVDs and CDs Book chapters For more information about interlibrary loans or to make an ILL request, visit the ILL Login page .


How long will it take? Most requests (for books not already checked out by another patron) are delivered in about a week. Some may take more or less time. NYC traffic, CUNY library systems problems, and library staffing all affect delivery time. What if something I requested can’t be found? You will receive email that your request can’t be filled. You may try requesting again from another CUNY library, or from Interlibrary Loan (ILL) . If you have waited more than a week for your request, contact either the CUNY lending library or your home CUNY library circulation desk . Which materials may not be requested via CLICS? Queens College, Brooklyn College, and City College will not loan music scores through CLICS. Borrow and return scores in person to these CUNY libraries. Loan of CDs, DVDs, and VHS through CLICS is governed by individual CUNY library policy.