{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T11:08:14Z","timestamp":1740136094492,"version":"3.37.3"},"reference-count":31,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2017,12,8]],"date-time":"2017-12-08T00:00:00Z","timestamp":1512691200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000060","name":"National Institute of Allergy and Infectious Diseases","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000060","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,1,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>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 \u201cPubMed for datasets.\u201d The experience gained while indexing a heterogeneous range of\u2009&amp;gt;60 repositories in DataMed helped in evaluating DATS\u2019s entities, attributes, and scope. In this work, 3 additional exemplary and diverse data sources were mapped to DATS by their representatives or experts, offering a deep scan of DATS fitness against a new set of existing data. The procedure, including feedback from users and implementers, resulted in DATS implementation guidelines and best practices, and identification of a path for evolving and optimizing the model. Finally, the work exposed additional needs when defining datasets for indexing, especially in the context of clinical and observational information.<\/jats:p>","DOI":"10.1093\/jamia\/ocx119","type":"journal-article","created":{"date-parts":[[2017,10,19]],"date-time":"2017-10-19T19:09:43Z","timestamp":1508440183000},"page":"13-16","source":"Crossref","is-referenced-by-count":4,"title":["Data discovery with DATS: exemplar adoptions and lessons learned"],"prefix":"10.1093","volume":"25","author":[{"given":"Alejandra N","family":"Gonzalez-Beltran","sequence":"first","affiliation":[{"name":"Oxford e-Research Centre, Engineering Science, University of Oxford, Oxford, UK"}]},{"given":"John","family":"Campbell","sequence":"additional","affiliation":[{"name":"Northrop Grumman Information Systems Health IT, Rockville, MD, USA"}]},{"given":"Patrick","family":"Dunn","sequence":"additional","affiliation":[{"name":"Northrop Grumman Information Systems Health IT, Rockville, MD, 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