Journal article
Data discovery with DATS: exemplar adoptions and lessons learned
- Abstract:
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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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(Preview, Version of record, pdf, 151.0KB, Terms of use)
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- Publisher copy:
- 10.1093/jamia/ocx119
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Funding
Bibliographic Details
- Publisher:
- Oxford University Press
- Journal:
- Journal of the American Medical Informatics Association More from this journal
- Volume:
- 25
- Issue:
- 1
- Pages:
- 13-16
- Publication date:
- 2017-12-08
- Acceptance date:
- 2017-10-19
- DOI:
- EISSN:
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1527-974X
- ISSN:
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1067-5027
- Pmid:
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29228196
Item Description
- Language:
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English
- Keywords:
- Pubs id:
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pubs:810793
- UUID:
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uuid:15148f9a-1bd6-4e76-9b26-a5509720bd59
- Local pid:
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pubs:810793
- Deposit date:
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2018-05-09
Terms of use
- Copyright holder:
- © Gonzalez-Beltran, et al 2017 Published by Oxford University Press on behalf of the American Medical Informatics Association
- Copyright date:
- 2017
- Notes:
- This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
- Licence:
- CC Attribution (CC BY)
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