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Biological Resource Discovery

  • Reference work entry
  • First Online:
Encyclopedia of Database Systems

  • 9 Accesses

Definition

Resources for the Life Sciences include various expedients including (access to) data stored in flat files or databases (e.g., a query form or a textual search engine), links between resources (index or hyperlink), or services such as applications or tools. Resource discovery is the process of identifying and locating existing resources that have a particular property. Machine-based resource discovery relies on crawling, clustering, and classifying resources discovered on the Web automatically. Resource discovery systems allow the expression of queries to identify and locate resources that implement scientific tasks and have properties of interest.

Historical Background

Resource selection relies on the identification of the resources suitable to achieve each task and the ability to compose the selected resources into a meaningful and efficient executable protocol. Metadata constitute the core information requisite to evaluate the suitability of Life Sciences resources to...

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Recommended Reading

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Author information

Authors and Affiliations

  1. Arizona State University, Tempe, AZ, USA

    Zoé Lacroix

  2. Biomedical Informatics, Ohio State University, College of Medicine, Columbus, OH, USA

    Cartik R. Kothari

  3. The MITRE Corporation, McLean, VA, USA

    Peter Mork

  4. University of California-San Diego, San Diego, CA, USA

    Rami Rifaieh

  5. University of British Columbia, Vancouver, BC, Canada

    Mark D. Wilkinson

  6. NYU Tandon School of Engineering, Brooklyn, NY, USA

    Juliana Freire

  7. NYU Center for Data Science, New York, NY, USA

    Juliana Freire

  8. New York University, New York, NY, USA

    Juliana Freire

  9. University Paris-Sud, Orsay Cedex, France

    Sarah Cohen-Boulakia

Authors
  1. Zoé Lacroix
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  2. Cartik R. Kothari
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  3. Peter Mork
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  4. Rami Rifaieh
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  5. Mark D. Wilkinson
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  6. Juliana Freire
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  7. Sarah Cohen-Boulakia
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Corresponding author

Correspondence to Zoé Lacroix .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, GA, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, ON, Canada

    M. Tamer Özsu

Section Editor information

  1. Robert H. Smith School of Business, University of Maryland, College Park, MD, USA

    Louiqa Raschid

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Lacroix, Z. et al. (2018). Biological Resource Discovery. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_1560

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