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Encyclopedia of Database Systems pp 997–1000Cite as

Database Use in Science Applications

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Definition

A science application is any application where a natural, social or engineering problem is investigated.

The Problem

Many science applications are data intensive. Scientific experiments produce large volumes of complex data, and have a dire need to create persistent repositories for their data and knowledge. It would seem natural that data management systems and technology will be heavily used in science. And yet, scientists traditionally do not use database management systems, and often develop home-grown solutions, or file-based software for their complex data management needs. Clearly, there is a gap between scientists’; intended use of data and what current data management systems provide.

Foundations

There are many reasons, both technical and non-technical, that explain why science users do not use data management systems for their applications. A recent study [3] highlights a number of factors scientists have cited. Others [2,4,6] have analyzed different reasons why...

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Recommended Reading

  1. Altintas I, Berkley C, Jaeger E, Jones M, Ludäscher B, Mock S. Kepler: an extensible system for design and execution of scientific workflows. In: Proceedings of the 16th International Conference Scientific and Statistical Database Management; 2004. p. 423–4.

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  2. Buneman P. Why scientists Don’t use databases? NeSC presentation. 2002. Available from www.nesc.ac.uk/talks/opening/no_use.pdf

  3. Gray J, Liu DT, Nieto-Santisteban MA, Szalay AS, Heber G, DeWitt D. Scientific data management in the coming decade. ACM SIGMOD Rec. 2005;34(4):35–41.

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  4. Liebman MJ. Data management systems: science versus technology? OMICS J Integr Biol. 2003;7(1):67–9.

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  5. Livny M, Ramakrishnan R, Beyer K, Chen G, Donjerkovic D, Lawande S, Myllymaki J, Wenger K. DEVise: integrated querying and visual exploration of large datasets. In: Proceedings of the 2007 ACM SIGMOD International Conference on Management of Data, Tucson; 1997. p. 301–12.

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  6. Maier D. Will database systems fail bioinformatics, too? OMICS J Integr Biol. 2003;7(1):71–3.

    Article  MathSciNet  Google Scholar 

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Author information

Authors and Affiliations

  1. San Diego Supercomputer Center, University of California San Diego, La Jolla, CA, USA

    Amarnath Gupta

Authors
  1. Amarnath Gupta
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Corresponding author

Correspondence to Amarnath Gupta .

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. San Diego Supercomputer Center, Univ. of California San Diego, La Jolla, CA, USA

    Amarnath Gupta

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Gupta, A. (2018). Database Use in Science Applications. 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_1276

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