Managing Scientific Data.
The article discusses the need for more effective scientific database management systems (DBMSs). The vast quantities of information available for scientific study remain intractable if the data cannot be efficiently processed or managed. It is noted that any solution which proves effective for the...
| Publicado en: | Communications of the ACM Vol. 53; no. 6; pp. 68 - 79 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Association for Computing Machinery
Jun2010
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=51189666&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 51189666 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Jun2010 vid: 53 iid: 6 pid: 68 pub: Association for Computing Machinery artinfo: ui: 51189666 10.1145/1743546.1743568 ppf: 68 ppct: 11 formats: tig: atl: Managing Scientific Data. aug: au: AILAMAKI, ANASTASIA KANTERE, VERENA DASH, DEBABRATA affil: Professor, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland. Adjunct professor, Carnegie Mellon University, Pittsburgh, PA. Postdoctoral researcher, Data-Intensive Applications and Systems Laboratory, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland. Data-Intensive Applications and Systems Laboratory, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland. su: Database management Electronic data processing Information storage & retrieval systems Querying (Computer science) Computer simulation Information modeling sug: subj: Database management Electronic data processing Information storage & retrieval systems Querying (Computer science) Computer simulation Information modeling ab: The article discusses the need for more effective scientific database management systems (DBMSs). The vast quantities of information available for scientific study remain intractable if the data cannot be efficiently processed or managed. It is noted that any solution which proves effective for the datasets of scientific researchers will necessarily prove useful for any other type of dataset. The need for automated parallel and online processing of data and metadata is described. Issues involving querying and computer simulations are also analyzed. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2010 holdings: @attributes: islocal: N |
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