The health care and life sciences community profile for dataset descriptions.
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.
Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, United States of America.
Michel
M
Dumontier
Department of Computer Science, Heriot-Watt University, Edinburgh, United Kingdom.
Alasdair J G
AJG
Gray
Department of Radiation Oncology (MAASTRO), GROW- School for Oncology and Developmental Biology, MAASTRO Clinic, Maastricht, Netherlands.
M Scott
MS
Marshall
Ontotext Corporation, Sofia, Bulgaria.
Vladimir
V
Alexiev
CSIRO, Australia.
Peter
P
Ansell
The Donnelly Centre, University of Toronto, Toronto, Canada.
Gary
G
Bader
Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, United States of America.
Joachim
J
Baran
Swiss-Prot group, SIB Swiss Institute of Bioinformatics, Geneve, Switzerland.
Jerven T
JT
Bolleman
Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, United States of America.
Alison
A
Callahan
Carleton University, Canada.
José
J
Cruz-Toledo
CALIPHO group, SIB Swiss Institute of Bioinformatics, Geneve, Switzerland.
Pascale
P
Gaudet
IO Informatics, Berkeley, CA, United States of America.
Erich A
EA
Gombocz
Oxford e-Research Centre, University of Oxford, Oxford, Oxfordshire, United Kingdom.
Alejandra N
AN
Gonzalez-Beltran
Elsevier Labs, Netherlands.
Paul
P
Groth
Department of Medical Informatics and Epidemiology, Oregon Health Sciences University, Portland, OR, United States of America.
Melissa
M
Haendel
Office of Medical Informatics and Epidemiology, Pharmaceuticals and Medical Devices Agency, Chiyoda-ku, Japan.
Maori
M
Ito
EMBL, European Bioinformatics Institute, Saffron Walden, United Kingdom.
Simon
S
Jupp
EMBL, European Bioinformatics Institute, Saffron Walden, United Kingdom.
Nick
N
Juty
Database Center for Life Science, Kashiwa, Japan.
Toshiaki
T
Katayama
Advanced Center for Computing and Communication, RIKEN, Wako-shi, Saitama, Japan.
Norio
N
Kobayashi
Cerenode Inc., United States of America.
Kalpana
K
Krishnaswami
EMBL, European Bioinformatics Institute, Saffron Walden, United Kingdom.
Camille
C
Laibe
The Babraham Institute, Cambridge, United Kingdom.
Nicolas
N
Le Novère
Nationwide Children's Hospital, Columbus, OH, United States of America.
Simon
S
Lin
EMBL, European Bioinformatics Institute, Saffron Walden, United Kingdom.
James
J
Malone
Institute for Systems Biology, Seattle, WA, United States of America.
Michael
M
Miller
Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA, United States of America.
Christopher J
CJ
Mungall
Department of Exact Sciences, VU University Amsterdam, Amsterdam, Netherlands.
Laurens
L
Rietveld
EMBL, European Bioinformatics Institute, Saffron Walden, United Kingdom.
Sarala M
SM
Wimalaratne
Database Center for Life Science, Kashiwa, Japan.
Atsuko
A
Yamaguchi
Data profiling; Dataset descriptions; FAIR data; Metadata; Provenance