The health care and life sciences community profile for dataset descriptions

PeerJ

article

Michel Dumontier¹  Alasdair J.G. Gray²  M. Scott Marshall³  Vladimir Alexiev⁴  Peter Ansell⁵  Gary Bader⁶  Joachim Baran¹  Jerven T. Bolleman⁷  Alison Callahan¹  José Cruz-Toledo⁸  Pascale Gaudet⁹  Erich A. Gombocz^1,10  Alejandra N. Gonzalez-Beltran^1,11  Paul Groth^1,12  Melissa Haendel^1,13  Maori Ito^1,14  Simon Jupp^1,15  Nick Juty^1,15  Toshiaki Katayama^1,16  Norio Kobayashi^1,17  Kalpana Krishnaswami^1,18  Camille Laibe^1,15  Nicolas Le Novère^1,19  Simon Lin^2,20  James Malone^1,15  Michael Miller^2,21  Christopher J. Mungall^2,22  Laurens Rietveld^2,23  Sarala M. Wimalaratne^1,15  Atsuko Yamaguchi^1,16 

[1] Stanford Center for Biomedical Informatics Research, Stanford University;Department of Computer Science, Heriot-Watt University;Department of Radiation Oncology ,(MAASTRO), GROW— School for Oncology and Developmental Biology, MAASTRO Clinic;Ontotext Corporation;CSIRO;The Donnelly Centre, University of Toronto;Swiss-Prot group, SIB Swiss Institute of Bioinformatics;Carleton University;CALIPHO group, SIB Swiss Institute of Bioinformatics;IO Informatics;Oxford e-Research Centre, University of Oxford;Elsevier Labs;Department of Medical Informatics and Epidemiology, Oregon Health Sciences University;Office of Medical Informatics and Epidemiology;EMBL, European Bioinformatics Institute;Database Center for Life Science;Advanced Center for Computing and Communication;Cerenode Inc.;The Babraham Institute;Nationwide Children’s Hospital;Institute for Systems Biology;Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory;Department of Exact Sciences, VU University Amsterdam

关键词: Data profiling;    Dataset descriptions;    Metadata;    Provenance;    FAIR data;   

DOI  :  10.7717/peerj.2331

学科分类：社会科学、人文和艺术（综合）

来源: Inra

【 摘 要 】

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.

【 授权许可】

CC BY