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Community next steps for making globally unique identifiers work for biocollections data.
Robert P Guralnick1, Nico Cellinese1, John Deck2
1Florida Museum of Natural History, University of Florida, Gainesville, FL 32611-2710 USA.
Zookeys
|April 23, 2015
Summary
Unique identifiers are crucial for linking biodiversity data, but current practices lack standardization. Experts convened to establish best practices for persistent, interoperable biodiversity data linkages.
Area of Science:
- Biodiversity informatics
- Data science
- Museum informatics
Background:
- Digitization of biodiversity data is accelerating, yet data linkages are often lost.
- Lack of persistent, unique identifiers hinders data interoperability and provenance tracking.
- Existing practices for biocollections data rarely implement globally unique identifiers at the point of data generation.
Purpose of the Study:
- To address the lack of standardized practices for unique identifiers in biodiversity data.
- To foster community consensus on best practices for identifier implementation and persistence.
- To overcome roadblocks in data linkage and interoperation for biocollections.
Main Methods:
- A workshop of biocollections and informatics experts was held in Stockholm, October 2014.
- Participants formed working groups focusing on identifier practices for current, legacy, and published biodiversity data.
- Discussions addressed cross-cutting identifier solutions and community consensus.
Main Results:
- Consensus was reached on key issues regarding identifier implementation.
- Recognition of differences between legacy and new biocollections data processes.
- Agreement on the need for identifier metadata profiles and unambiguous object type indication.
Conclusions:
- Standardized, persistent unique identifiers are essential for modern biodiversity informatics.
- Community agreement on best practices will improve data linkage, provenance, and interoperation.
- Further development of identifier metadata and standards is needed to support diverse biodiversity data.
Keywords:
BiocollectionsGUIDsGlobally Unique Identifiersfield collectionsidentifierslegacy collectionslinked open datasemantic publishingMore Related Videos
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