A metadata-driven approach to data repository design
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Author(s)
Rzepa, HS
Harvey, MJ
Mclean, A
Type
Journal Article
Abstract
The design and use of a metadata-driven data repository for research data management is described. Metadata is collected
automatically during the submission process whenever possible and is registered with DataCite in accordance
with their current metadata schema, in exchange for a persistent digital object identifier. Two examples of data preview
are illustrated, including the demonstration of a method for integration with commercial software that confers
rich domain-specific data analytics without introducing customisation into the repository itself.
automatically during the submission process whenever possible and is registered with DataCite in accordance
with their current metadata schema, in exchange for a persistent digital object identifier. Two examples of data preview
are illustrated, including the demonstration of a method for integration with commercial software that confers
rich domain-specific data analytics without introducing customisation into the repository itself.
Date Issued
2017-01-24
Date Acceptance
2017-01-05
Citation
Journal of Cheminformatics, 2017, 9
ISSN
1758-2946
Publisher
BioMed Central
Journal / Book Title
Journal of Cheminformatics
Volume
9
Copyright Statement
© The Author(s) 2017. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License
(http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium,
provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license,
and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/
publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
(http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium,
provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license,
and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/
publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
License URL
Subjects
Science & Technology
Physical Sciences
Technology
Chemistry, Multidisciplinary
Computer Science, Information Systems
Computer Science, Interdisciplinary Applications
Chemistry
Computer Science
Data repository
Metadata-driven
DataCite
Data preview
Mpublish
CHEMISTRY
Publication Status
Published
Article Number
4