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Journal article

Data discovery with DATS: exemplar adoptions and lessons learned

Abstract:

The DAta Tag Suite (DATS) is a model supporting dataset description, indexing, and discovery. It is available as an annotated serialization with schema.org, a vocabulary used by major search engines, thus making the datasets discoverable on the web. DATS underlies DataMed, the National Institutes of Health Big Data to Knowledge Data Discovery Index prototype, which aims to provide a "PubMed for datasets." The experience gained while indexing a heterogeneous range of >60 repositories in Dat...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1093/jamia/ocx119

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Institution:
University of Oxford
Division:
MPLS Division
Department:
e-Research Centre
Oxford college:
Kellogg College
Role:
Author
Publisher:
Oxford University Press Publisher's website
Journal:
Journal of the American Medical Informatics Association Journal website
Volume:
25
Issue:
1
Pages:
13-16
Publication date:
2017-12-08
Acceptance date:
2017-10-19
DOI:
EISSN:
1527-974X
ISSN:
1067-5027
Pmid:
29228196
Language:
English
Keywords:
Pubs id:
pubs:810793
UUID:
uuid:15148f9a-1bd6-4e76-9b26-a5509720bd59
Local pid:
pubs:810793
Deposit date:
2018-05-09

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