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Globally distributed object identification for biological knowledgebases.

Tim Clark1, Sean Martin, Ted Liefeld

  • 1tim.clark@acm.org

Briefings in Bioinformatics
|May 22, 2004
PubMed
Summary
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The Life Science Identifier (LSID) and LSID Resolution System (LSRS) solve the problem of identifying distributed biological data. These systems enhance global collaboration and knowledgebase integration in bioinformatics.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Life Sciences

Background:

  • The World-Wide Web is crucial for scientific collaboration, especially in bioinformatics.
  • Current web limitations hinder the programmatic identification of distributed, locally named objects.
  • This inability restricts the integration of fragmented biological knowledgebases.

Purpose of the Study:

  • To introduce the Life Science Identifier (LSID) and LSID Resolution System (LSRS).
  • To address the challenge of identifying and integrating distributed biological data.
  • To propose solutions compatible with semantic web and grid technologies.

Main Methods:

  • Leveraging and extending existing internet technologies.
  • Implementing the LSID syntax and LSID Resolution System (LSRS) operations.

Related Experiment Videos

  • Assessing infrastructure compatibility, use cases, and future applications.

    • Main Results:

    • LSID and LSRS provide a programmatic solution for identifying distributed network objects.
    • These systems are consistent with semantic web and semantic grid approaches.
    • The article details LSID/LSRS syntax, operations, and infrastructure considerations.

    Conclusions:

    • LSID and LSRS adoption facilitates simpler, more reliable integration of biological knowledgebases.
    • These technologies are key to enabling stronger global collaboration in biology.
    • The systems represent an important step towards a more connected biological data landscape.