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The Data Tags Suite (DATS) model for discovering data access and use requirements

BACKGROUND: Data reuse is often controlled to protect the privacy of subjects and patients. Data discovery tools need ways to inform researchers about restrictions on data access and re-use. RESULTS: We present elements in the Data Tags Suite (DATS) metadata schema describing data access, data use c...

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Autores principales: Alter, George, Gonzalez-Beltran, Alejandra, Ohno-Machado, Lucila, Rocca-Serra, Philippe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7006671/
https://www.ncbi.nlm.nih.gov/pubmed/32031623
http://dx.doi.org/10.1093/gigascience/giz165
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author Alter, George
Gonzalez-Beltran, Alejandra
Ohno-Machado, Lucila
Rocca-Serra, Philippe
author_facet Alter, George
Gonzalez-Beltran, Alejandra
Ohno-Machado, Lucila
Rocca-Serra, Philippe
author_sort Alter, George
collection PubMed
description BACKGROUND: Data reuse is often controlled to protect the privacy of subjects and patients. Data discovery tools need ways to inform researchers about restrictions on data access and re-use. RESULTS: We present elements in the Data Tags Suite (DATS) metadata schema describing data access, data use conditions, and consent information. DATS metadata are explained in terms of the administrative, legal, and technical systems used to protect confidential data. CONCLUSIONS: The access and use metadata items in DATS are designed from the perspective of a researcher who wants to find and re-use existing data. We call for standard ways of describing informed consent and data use agreements that will enable automated systems for managing research data.
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spelling pubmed-70066712020-02-11 The Data Tags Suite (DATS) model for discovering data access and use requirements Alter, George Gonzalez-Beltran, Alejandra Ohno-Machado, Lucila Rocca-Serra, Philippe Gigascience Technical Note BACKGROUND: Data reuse is often controlled to protect the privacy of subjects and patients. Data discovery tools need ways to inform researchers about restrictions on data access and re-use. RESULTS: We present elements in the Data Tags Suite (DATS) metadata schema describing data access, data use conditions, and consent information. DATS metadata are explained in terms of the administrative, legal, and technical systems used to protect confidential data. CONCLUSIONS: The access and use metadata items in DATS are designed from the perspective of a researcher who wants to find and re-use existing data. We call for standard ways of describing informed consent and data use agreements that will enable automated systems for managing research data. Oxford University Press 2020-02-07 /pmc/articles/PMC7006671/ /pubmed/32031623 http://dx.doi.org/10.1093/gigascience/giz165 Text en © The Author(s) 2020. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ 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.
spellingShingle Technical Note
Alter, George
Gonzalez-Beltran, Alejandra
Ohno-Machado, Lucila
Rocca-Serra, Philippe
The Data Tags Suite (DATS) model for discovering data access and use requirements
title The Data Tags Suite (DATS) model for discovering data access and use requirements
title_full The Data Tags Suite (DATS) model for discovering data access and use requirements
title_fullStr The Data Tags Suite (DATS) model for discovering data access and use requirements
title_full_unstemmed The Data Tags Suite (DATS) model for discovering data access and use requirements
title_short The Data Tags Suite (DATS) model for discovering data access and use requirements
title_sort data tags suite (dats) model for discovering data access and use requirements
topic Technical Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7006671/
https://www.ncbi.nlm.nih.gov/pubmed/32031623
http://dx.doi.org/10.1093/gigascience/giz165
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