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

Romein, Christel Annemieke; Hodel, Tobias; Gordijn, Femke; Zundert, Joris J. van; Chagué, Alix; Lange, Milan van; Jensen, Helle Strandgaard; Stauder, Andy; Jake, Purcell,; Terras, Melissa; den, Heuvel, Pauline van; Carlijn, Keijzer,; Rabus, Achim; Chantal, Sitaram,; Aakriti, Bhatia,; Depuydt, Katrien; Aderonke, Afolabi-Adeolu,  Mary; Anastasiia, Anikina,; Elisa, Bastianello,; Vincent, Benzinger, Lukas; Bosse, Arno; Brown, David G.; Charlton, Ash; Nilsson, Dannevig, André; Gelder, Klaas Van; Go, Sabine C.P.J.; J.C., Goh, Marcus; Gstrein, Silvia; Sewa, Hasan,; der, Heide, Stefan von; Maximilian, Hindermann,; Huff, Dorothee; Huysman, Ineke; Ali, Idris,; Liesbeth, Keijzer,; Simon, Kemper,; Sanne, Koenders,; Kuijpers, Erika; Lisette, Rønsig Larsen,; Sven, Lepa,; O., Link, Tommy; Nispen, Annelies van; Joe, Nockels,; van, Noort, Laura M.; Johannes, Oosterhuis, Joost; Vivien, Popken,; María, Estrella Puertollano,; J., Puusaag, Joosep; Ahmed, Sheta,; Lex, Stoop,; Ebba, Strutzenbladh,; Sijs, N. van der; der, Spek, Jan Paul van; Benaissa, Trouw, Barry; Synghel, Geertrui Van; Vladimir, Vučković,; Heleen, Wilbrink,; Sonia, Weiss,; Wrisley, David Joseph; Riet, Zweistra,

doi:10.5281/zenodo.7267245

Cited by 1 publication

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“…A compilation of actions that can be carried out to stimulate conversation, and to encourage and generate ideas and new possibilities concerning the publication of digital collections suitable for computational use was recently published (Padilla et al 2019a). The use of advanced technologies such as Artificial Intelligence in combination with rich data made available by GLAM organisations raised important ethical issues (Romein et al 2022;Boyd, Keller, and Tijerina 2016). These include, for example, control over the data, including the terms of service requirements, the long-term subsistence of the organisation sharing the data, the anonymous release of data and the threat of potential reidentification, and awareness of potential uses of the data.…”

Section: A Checklist To Publish Collections As Data In Glam Institutionsmentioning

confidence: 99%

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A checklist to publish collections as data in GLAM institutions

Candela,

Gabriëls,

Chambers

et al. 2023

GKMC

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PurposeThe purpose of this study is to offer a checklist that can be used for both creating and evaluating digital collections, which are also sometimes referred to as data sets as part of the collections as data movement, suitable for computational use.Design/methodology/approachThe checklist was built by synthesising and analysing the results of relevant research literature, articles and studies and the issues and needs obtained in an observational study. The checklist was tested and applied both as a tool for assessing a selection of digital collections made available by galleries, libraries, archives and museums (GLAM) institutions as proof of concept and as a supporting tool for creating collections as data.FindingsOver the past few years, there has been a growing interest in making available digital collections published by GLAM organisations for computational use. Based on previous work, the authors defined a methodology to build a checklist for the publication of Collections as data. The authors’ evaluation showed several examples of applications that can be useful to encourage other institutions to publish their digital collections for computational use.Originality/valueWhile some work on making available digital collections suitable for computational use exists, giving particular attention to data quality, planning and experimentation, to the best of the authors’ knowledge, none of the work to date provides an easy-to-follow and robust checklist to publish collection data sets in GLAM institutions. This checklist intends to encourage small- and medium-sized institutions to adopt the collection as data principles in daily workflows following best practices and guidelines.

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Section: A Checklist To Publish Collections As Data In Glam Institutionsmentioning

confidence: 99%

“…These platforms provide additional features such as release management that can be useful to publish different versions of the same dataset(Romein et al 2022). …”

mentioning

confidence: 99%