Standards-based metadata procedures for retrieving data for display or mining utilizing persistent (data-DOI) identifiers
OA Location
Author(s)
Harvey, MJ
Mason, NJ
McLean, A
Rzepa, HS
Type
Journal Article
Abstract
Background
We describe three different procedures based on metadata standards for enabling automated retrieval of scientific data from digital repositories utilising the persistent identifier of the dataset with optional specification of the attributes of the data document such as filename or media type.
Results
The procedures are demonstrated using the JSmol molecular visualizer as a component of a web page and Avogadro as a stand-alone modelling program. We compare our methods for automated retrieval of data from a standards-compliant data repository with those currently in operation for a selection of existing molecular databases and repositories.
Conclusions
Our methods illustrate the importance of adopting a standards-based approach of using metadata declarations to increase access to and discoverability of repository-based data.
We describe three different procedures based on metadata standards for enabling automated retrieval of scientific data from digital repositories utilising the persistent identifier of the dataset with optional specification of the attributes of the data document such as filename or media type.
Results
The procedures are demonstrated using the JSmol molecular visualizer as a component of a web page and Avogadro as a stand-alone modelling program. We compare our methods for automated retrieval of data from a standards-compliant data repository with those currently in operation for a selection of existing molecular databases and repositories.
Conclusions
Our methods illustrate the importance of adopting a standards-based approach of using metadata declarations to increase access to and discoverability of repository-based data.
Date Issued
2015-08-08
Date Acceptance
2015-06-08
Citation
Journal of Cheminformatics, 2015, 7
ISSN
1758-2946
Publisher
Springer Verlag
Journal / Book Title
Journal of Cheminformatics
Volume
7
Copyright Statement
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.
License URL
Subjects
Science & Technology
Physical Sciences
Technology
Chemistry, Multidisciplinary
Computer Science, Information Systems
Computer Science, Interdisciplinary Applications
Chemistry
Computer Science
Metadata standards
DOI
Digital repository
Data retrieval
REPOSITORIES
CHEMISTRY
Publication Status
Published
Article Number
37