Exploring Data Provenance in Handwritten Text Recognition Infrastructure: Sharing and Reusing Ground Truth Data, Referencing Models, and Acknowledging Contributions. Starting the Conversation on How We Could Get It Done
C. A. Romein, Tobias Hodel, Femke Gordijn, J. Zundert, Alix Chagué, M. V. Lange, Helle Strandgaard Jensen, Andy Stauder, Jake Purcell, Melissa Terras, Pauline van den Heuvel, Carlijn Keijzer, Achim Rabus, Chantal Sitaram, Aakriti Bhatia, K. Depuydt, Mary Aderonke Afolabi-Adeolu, Anastasiia Anikina, E. Bastianello, Lukas Vincent Benzinger, Arno Bosse, David Brown, Ash Charlton, André Nilsson Dannevig, Klaas van Gelder, Sabine C.P.J. Go, Marcus J.C. Goh, Silvia Gstrein, Sewa Hasan, Stefan von der Heide, Maximilian Hindermann, D. Huff, Ineke Huysman, Ali Idris, Liesbeth Keijzer, Simon Kemper, Sanne Koenders, Erika Kuijpers, Lisette Rønsig Larsen, Sven Lepa, Tommy O. Link, A. V. Nispen, Joe Nockels, Laura M. van Noort, Joost Johannes Oosterhuis, Vivien Popken, María Estrella Puertollano, Joosep J. Puusaag, Ahmed Sheta, Lex Stoop, Ebba Strutzenbladh, N. V. D. Sijs, Jan Paul van der Spek, Barry Benaissa Trouw, Geertrui Van Synghel, Vladimir Vučković, Heleen Wilbrink, Sonia Weiss, D. Wrisley, Riet Zweistra
Journal of Data Mining and Digital Humanities