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.
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Recommended Reading
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.
Buneman P. Why scientists Don’t use databases? NeSC presentation. 2002. Available from www.nesc.ac.uk/talks/opening/no_use.pdf
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.
Liebman MJ. Data management systems: science versus technology? OMICS J Integr Biol. 2003;7(1):67–9.
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.
Maier D. Will database systems fail bioinformatics, too? OMICS J Integr Biol. 2003;7(1):71–3.
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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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DOI: https://doi.org/10.1007/978-1-4614-8265-9_1276
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