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Uniform resolution of compact identifiers for biomedical data.
Sarala M Wimalaratne1, Nick Juty2, John Kunze3
1European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK.
Scientific Data
|May 9, 2018
Summary
Biomedical data citation is improved with persistent, machine-readable compact identifiers. Harmonized meta-resolvers Identifiers.org and N2T.net now support over 600 databases for robust data referencing.
Area of Science:
- Bioinformatics
- Data Science
- Scholarly Communication
Background:
- Biomedical data repositories often lack globally unique, persistent identifiers for datasets.
- This hinders data citation practices aligned with publishing standards.
- Local accessions can be made globally unique using namespace prefixes, forming compact identifiers.
Purpose of the Study:
- To enhance support for machine-resolvable, persistent compact identifiers in biomedical data citation.
- To harmonize and extend the capabilities of the Identifiers.org and N2T.net meta-resolvers.
Main Methods:
- Harmonizing the Identifiers.org and N2T.net meta-resolver services.
- Extending meta-resolver capabilities to support a common registry of prefix-based redirection rules.
- Integrating over 600 source databases for identifier resolution.
Main Results:
- Successful harmonization and extension of Identifiers.org and N2T.net meta-resolvers.
- Implementation of a common registry for prefix-based redirection rules.
- Ability to resolve identifiers from over 600 databases to their original web sources.
Conclusions:
- The enhanced meta-resolver services provide robust support for persistent, machine-resolvable compact identifiers.
- These services will aid publishers and researchers in implementing reliable data citation.
- Improved data citation practices will enhance the discoverability and reusability of biomedical research data.
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