The health care and life sciences community profile for dataset descriptions
- Dumontier, Michel ORCID Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, California, United States
- Gray, Alasdair J G ORCID Computer Science, Heriot-Watt University, Edinburgh, United Kingdom
- Marshall, M. Scott Department of Radiation Oncology (MAASTRO), GROW - School for Oncology and Developmental Biology, MAASTRO Clinic, Maastricht, The Netherlands
- Alexiev, Vladimir Ontotext Corporation, Sofia, Bulgaria
- Ansell, Peter ORCID CSIRO, Canberra, Australia
- Bader, Gary D ORCID The Donnelly Centre, University of Toronto, Toronto, Canada
- Baran, Joachim Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, California, United States
- Bolleman, Jerven T Swiss-Prot group, SIB Swiss Institute of Bioinformatics, Geneve, Switzerland
- Callahan, Alison Carleton University, Ottawa, Canada
- Cruz-Toledo, José Carleton University, Ottawa, Canada
- Gaudet, Pascale ORCID SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Gombocz, Erich A IO Informatics, Berkeley, CA, United States of America
- Gonzalez Beltran, Alejandra N Oxford e-Research Centre, University of Oxford, Oxford, Oxfordshire, United Kingdom
- Groth, Paul ORCID Elsevier Labs, Amsterdam, Netherlands
- Haendel, Melissa Department of Medical Informatics and Epidemiology, Oregon Health Sciences University, Portland, Oregon, United States
- Ito, Maori NIBIO, Osaka, Japan
- Jupp, Simon EMBL, European Bioinformatics Institute, Saffron Walden, United Kingdom
- Juty, Nick EMBL, European Bioinformatics Institute, Saffron Walden, United Kingdom
- Katayama, Toshiaki Database Center for Life Sciences, Sendai, Japan
- Kobayashi, Norio RIKEN, Wako, Japan
- Krishnaswami, Kalpana Cerenode Inc., Troy, United States of America
- Laibe, Camille EMBL, European Bioinformatics Institute, Saffron Walden, United Kingdom
- Le Novère, Nicolas ORCID Babraham Institute, Cambridge, United Kingdom
- Lin, Simon Nationwide Children's Hospital, Columbus, Ohio, United States of America
- Malone, James EMBL, European Bioinformatics Institute, Saffron Walden, United Kingdom
- Miller, Michael Institute for Systems Biology, Seattle, Washington, United States of America
- Mungall, Chris Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA, United States of America
- Rietveld, Laurens Department of Exact Sciences, VU University Amsterdam, Amsterdam, Netherlands
- Wimalaratne, Sarala M EMBL, European Bioinformatics Institute, Saffron Walden, United Kingdom
- Yamaguchi, Atsuko Research Organization of Information and Systems, Database Center for Life Sciences, Kashiwa, Japan
English
Access to consistent, high-quality metadata is critical to finding, understanding, and reusing scientific data. However, while there are many relevant vocabularies for the annotation of a dataset, none sufficiently captures all the necessary metadata. This prevents uniform indexing and querying of dataset repositories. Towards providing a practical guide for producing a high quality description of biomedical datasets, the W3C Semantic Web for Health Care and the Life Sciences Interest Group (HCLSIG) identified Resource Description Framework (RDF) vocabularies that could be used to specify common metadata elements and their value sets. The resulting guideline covers elements of description, identification, attribution, versioning, provenance, and content summarization. This guideline reuses existing vocabularies, and is intended to meet key functional requirements including indexing, discovery, exchange, query, and retrieval of datasets, thereby enabling the publication of FAIR data. The resulting metadata profile is generic and could be used by other domains with an interest in providing machine readable descriptions of versioned datasets.
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- https://folia.unifr.ch/unifr/documents/272704
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