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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.

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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.

Keywords:
BiocollectionsGUIDsGlobally Unique Identifiersfield collectionsidentifierslegacy collectionslinked open datasemantic publishing

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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.