Encyclopedia of Database Systems

Living Edition
| Editors: Ling Liu, M. Tamer Özsu

Scientific Databases

  • Amarnath Gupta
Living reference work entry
DOI: https://doi.org/10.1007/978-1-4899-7993-3_1275-2


Scientific data refers to data that arise from scientific experiments, instruments, analytical tools, and computations. A chemistry experiment, for example, can yield data about the experimental setup, the pressure and temperature conditions under which the experiment was set up, measured variable like the heat released, initial and final masses the ingredients and products of the experiment, and so forth. The output of an instrument like a radio telescope, after running signal processing algorithms, will produce “images” of the radio-frequency sources in a part of the sky that the telescope was looking at. A biologist, after obtaining the image of a dye-filled nerve cell, uses image analysis software to produce a set of measurements that reflect the structure of the cell and its subparts. Recently, environmental sensors are cast in oceans and send real-time data on ocean temperature, salinity, oxygen content, and other parameters. A scientific database refers to an...

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Recommended Reading

  1. 1.
    Ikeda H, Naito M. Evaluation of a combinatorial file organization scheme of order one. In: Proceedings of Study on Scientific Database Management Systems; 1979. p. 195–199 (in Japanese).Google Scholar
  2. 2.
    Coughran E. HYDROSEARCH, an easy-to-use retrieval system for hydrographic station data. Oceans. 1975;7:418–21.Google Scholar
  3. 3.
    Birss EW, Jones SE, Ries DR, Yeh JW. Scientific data base management at Lawrence Livermore Laboratory: needs and a prototype system. Technical Report UCRL-80146;CONF-771062–1, Lawrence Livermore Lab, California University. 1977.Google Scholar
  4. 4.
    Olle TW. The Codasyl approach to data base management. Chichester: Wiley; 1978.MATHGoogle Scholar
  5. 5.
    Shoshani A, Olken F, Wong HKT. Characteristics of scientific databases. In: Proceedings of 10th International Conference on Very Large Data Bases; 1984. p. 147–60.Google Scholar
  6. 6.
    Shoshani A, Wong HKT. Statistical and scientific database issues. IEEE Trans Softw Eng. 1985;11(10):1040–7.CrossRefGoogle Scholar
  7. 7.
    Shannon P, Markiel A, Ozier O, Baliga NS, Wang JT, Ramage D, Amin N, Schwikowski B, Ideker T. Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 2003;13(11):2498–504.CrossRefGoogle Scholar
  8. 8.
    Demir E, Babur O, Dogrusoz U, Gursoy A, Nisanci G, Cetin-Atalay R, Ozturk M. PATIKA: an integrated visual environment for collaborative construction and analysis of cellular pathways. Bioinformatics. 2002;18(7):996–1003.CrossRefGoogle Scholar
  9. 9.
    Nikitin A, Egorov S, Daraselia N, Mazo I. Pathway studio – the analysis and navigation of molecular networks. Bioinformatics. 2003;19(16):2155–7.CrossRefGoogle Scholar
  10. 10.
    Gosink L, Shalf J, Stockinger K, Wu K, Bethel W. HDF5-FastQuery: accelerating complex queries on HDF datasets using fast bitmap indices. In: Proceedings 18th International Conference on Scientific and Statistical Database Management; 2006. p. 149–58.Google Scholar
  11. 11.
    Zhang X, Kurc T, Saltz J, Parthasarathy S. Design and analysis of a multi-dimensional data sampling service for large scale data analysis applications. In: Proceedings of 20th International Parallel and Distributed Processing Symposium; 2006.Google Scholar
  12. 12.
    Rotem D, Stockinger K, Wu K. In: Proceedings of 18th International Conference on Scientific and Statistical Database Management; 2006. p. 33–44.Google Scholar
  13. 13.
    Deshpande A, Samuel M. MauveDB: supporting model-based user views in database systems. In: Proceedings of the ACM SIGMOD International Conference on Management of Data. ACM; 2006. p. 73–84.Google Scholar
  14. 14.
    Fang L, Kristen L. Splash: ad-hoc querying of data and statistical models. In: Proceedings of the 13th International Conference on Extending Database Technology. ACM; 2010.Google Scholar

Copyright information

© Springer Science+Business Media LLC 2017

Authors and Affiliations

  1. 1.San Diego Supercomputer CenterUniversity of California-San DiegoLa JollaUSA