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 d...
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PeerJ Inc.
2016-08-01
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Online Access: | https://peerj.com/articles/2331.pdf |
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doaj-87a6908c1991464f8c104ef7ffc724a9 |
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Article |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Michel Dumontier Alasdair J.G. Gray M. Scott Marshall Vladimir Alexiev Peter Ansell Gary Bader Joachim Baran Jerven T. Bolleman Alison Callahan José Cruz-Toledo Pascale Gaudet Erich A. Gombocz Alejandra N. Gonzalez-Beltran Paul Groth Melissa Haendel Maori Ito Simon Jupp Nick Juty Toshiaki Katayama Norio Kobayashi Kalpana Krishnaswami Camille Laibe Nicolas Le Novère Simon Lin James Malone Michael Miller Christopher J. Mungall Laurens Rietveld Sarala M. Wimalaratne Atsuko Yamaguchi |
spellingShingle |
Michel Dumontier Alasdair J.G. Gray M. Scott Marshall Vladimir Alexiev Peter Ansell Gary Bader Joachim Baran Jerven T. Bolleman Alison Callahan José Cruz-Toledo Pascale Gaudet Erich A. Gombocz Alejandra N. Gonzalez-Beltran Paul Groth Melissa Haendel Maori Ito Simon Jupp Nick Juty Toshiaki Katayama Norio Kobayashi Kalpana Krishnaswami Camille Laibe Nicolas Le Novère Simon Lin James Malone Michael Miller Christopher J. Mungall Laurens Rietveld Sarala M. Wimalaratne Atsuko Yamaguchi The health care and life sciences community profile for dataset descriptions PeerJ Data profiling Dataset descriptions Metadata Provenance FAIR data |
author_facet |
Michel Dumontier Alasdair J.G. Gray M. Scott Marshall Vladimir Alexiev Peter Ansell Gary Bader Joachim Baran Jerven T. Bolleman Alison Callahan José Cruz-Toledo Pascale Gaudet Erich A. Gombocz Alejandra N. Gonzalez-Beltran Paul Groth Melissa Haendel Maori Ito Simon Jupp Nick Juty Toshiaki Katayama Norio Kobayashi Kalpana Krishnaswami Camille Laibe Nicolas Le Novère Simon Lin James Malone Michael Miller Christopher J. Mungall Laurens Rietveld Sarala M. Wimalaratne Atsuko Yamaguchi |
author_sort |
Michel Dumontier |
title |
The health care and life sciences community profile for dataset descriptions |
title_short |
The health care and life sciences community profile for dataset descriptions |
title_full |
The health care and life sciences community profile for dataset descriptions |
title_fullStr |
The health care and life sciences community profile for dataset descriptions |
title_full_unstemmed |
The health care and life sciences community profile for dataset descriptions |
title_sort |
health care and life sciences community profile for dataset descriptions |
publisher |
PeerJ Inc. |
series |
PeerJ |
issn |
2167-8359 |
publishDate |
2016-08-01 |
description |
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. |
topic |
Data profiling Dataset descriptions Metadata Provenance FAIR data |
url |
https://peerj.com/articles/2331.pdf |
work_keys_str_mv |
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doaj-87a6908c1991464f8c104ef7ffc724a92020-11-24T21:45:47ZengPeerJ Inc.PeerJ2167-83592016-08-014e233110.7717/peerj.2331The health care and life sciences community profile for dataset descriptionsMichel Dumontier0Alasdair J.G. Gray1M. Scott Marshall2Vladimir Alexiev3Peter Ansell4Gary Bader5Joachim Baran6Jerven T. Bolleman7Alison Callahan8José Cruz-Toledo9Pascale Gaudet10Erich A. Gombocz11Alejandra N. Gonzalez-Beltran12Paul Groth13Melissa Haendel14Maori Ito15Simon Jupp16Nick Juty17Toshiaki Katayama18Norio Kobayashi19Kalpana Krishnaswami20Camille Laibe21Nicolas Le Novère22Simon Lin23James Malone24Michael Miller25Christopher J. Mungall26Laurens Rietveld27Sarala M. Wimalaratne28Atsuko Yamaguchi29Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, United States of AmericaDepartment of Computer Science, Heriot-Watt University, Edinburgh, United KingdomDepartment of Radiation Oncology (MAASTRO), GROW— School for Oncology and Developmental Biology, MAASTRO Clinic, Maastricht, NetherlandsOntotext Corporation, Sofia, BulgariaCSIRO, AustraliaThe Donnelly Centre, University of Toronto, Toronto, CanadaStanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, United States of AmericaSwiss-Prot group, SIB Swiss Institute of Bioinformatics, Geneve, SwitzerlandStanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, United States of AmericaCarleton University, CanadaCALIPHO group, SIB Swiss Institute of Bioinformatics, Geneve, SwitzerlandIO Informatics, Berkeley, CA, United States of AmericaOxford e-Research Centre, University of Oxford, Oxford, Oxfordshire, United KingdomElsevier Labs, NetherlandsDepartment of Medical Informatics and Epidemiology, Oregon Health Sciences University, Portland, OR, United States of AmericaOffice of Medical Informatics and Epidemiology, Pharmaceuticals and Medical Devices Agency, Chiyoda-ku, JapanEMBL, European Bioinformatics Institute, Saffron Walden, United KingdomEMBL, European Bioinformatics Institute, Saffron Walden, United KingdomDatabase Center for Life Science, Kashiwa, JapanAdvanced Center for Computing and Communication, RIKEN, Wako-shi, Saitama, JapanCerenode Inc., United States of AmericaEMBL, European Bioinformatics Institute, Saffron Walden, United KingdomThe Babraham Institute, Cambridge, United KingdomNationwide Children’s Hospital, Columbus, OH, United States of AmericaEMBL, European Bioinformatics Institute, Saffron Walden, United KingdomInstitute for Systems Biology, Seattle, WA, United States of AmericaEnvironmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA, United States of AmericaDepartment of Exact Sciences, VU University Amsterdam, Amsterdam, NetherlandsEMBL, European Bioinformatics Institute, Saffron Walden, United KingdomDatabase Center for Life Science, Kashiwa, JapanAccess 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.https://peerj.com/articles/2331.pdfData profilingDataset descriptionsMetadataProvenanceFAIR data |