76 citations
- Royal Netherlands Academy of Arts and SciencesNL7 papers
- University of AmsterdamNL5 papers
- Maastricht UniversityNL3 papers
- DataCiteDE2 papers
- Elsevier BV (Netherlands)NL2 papers
- Huygens Institute for History and Culture of the NetherlandsNL2 papers
- King's College LondonGB2 papers
- Vrije Universiteit AmsterdamNL2 papers
- Bayer (France)FR1 paper
- FACE FoundationUS1 paper
- Google (United States)US1 paper
- Hugging FaceUS1 paper
23 papers
Croissant: A Metadata Format for ML-Ready Datasets
Mubashara Akhtar, Omar Benjelloun, Costanza Conforti +28
Data is a critical resource for machine learning (ML), yet working with data remains a key friction point. This paper introduces Croissant, a metadata format for datasets that crea…
Classifications as Linked Open Data. Challenges and Opportunities
Rick Szostak, Richard P. Smiraglia, Andrea Scharnhorst +3
Linked Data (LD) as a web--based technology enables in principle the seamless, machine--supported integration, interplay and augmentation of all kinds of knowledge, into what has b…
A 25 Year Retrospective on D-Lib Magazine
Michael L. Nelson, Herbert Van de Sompel
In July, 1995 the first issue of D-Lib Magazine was published as an on-line, HTML-only, open access magazine, serving as the focal point for the then emerging digital library resea…
Talking datasets: Understanding data sensemaking behaviours
Laura Koesten, Kathleen Gregory, Paul Groth +1
The sharing and reuse of data are seen as critical to solving the most complex problems of today. Despite this potential, relatively little is known about a key step in data reuse:…
The Memento Tracer Framework: Balancing Quality and Scalability for Web Archiving
Martin Klein, Harihar Shankar, Lyudmila Balakireva +1
Web archiving frameworks are commonly assessed by the quality of their archival records and by their ability to operate at scale. The ubiquity of dynamic web content poses a signif…
Lost or found? Discovering data needed for research
Kathleen Gregory, Paul Groth, Andrea Scharnhorst +1
Finding data is a necessary precursor to being able to reuse data, although relatively little large-scale empirical evidence exists about how researchers discover, make sense of an…