Everybody Share: The Challenge of Data-Sharing Systems.
The article discusses data-sharing systems, examining a framework for characterizing data-sharing problems and solutions. The authors suggest that the framework is technologically neutral. The framework is able to apply across a broad range of technologies, the article indicates. Topics include data...
| Publicado en: | Computer (00189162) Vol. 41; no. 9; pp. 54 - 62 |
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| Autores principales: | , , |
| Formato: | Artículo |
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IEEE
Sep2008
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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=34383366&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 34383366 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00189162 PUT jtl: Computer (00189162) issn: 00189162 maglogo: N pubinfo: dt: Sep2008 vid: 41 iid: 9 pid: 13605 pub: IEEE artinfo: ui: 34383366 10.1109/MC.2008.387 ppf: 54 ppct: 8 formats: tig: atl: Everybody Share: The Challenge of Data-Sharing Systems. aug: au: Smith, Ken Seligman, Len Swarup, Vipin affil: Adjunct professor, George Mason University. Chief technologist, Information and Computing Technologies Division, MITRE. Principal scientist, Information Assurance Division, MITRE. su: Technology Information storage & retrieval systems Database management software Digital resources for research Databases Genomic information retrieval Peer-to-peer architecture software sug: subj: Technology Information storage & retrieval systems Database management software Digital resources for research Databases Genomic information retrieval Peer-to-peer architecture software ab: The article discusses data-sharing systems, examining a framework for characterizing data-sharing problems and solutions. The authors suggest that the framework is technologically neutral. The framework is able to apply across a broad range of technologies, the article indicates. Topics include data-sharing solutions, a subdiscipline called data-driven science, and researchers who explore large data stores such as genomic databases. Also discussed is the expansion of environments in which data is shared including the Gnutella P2P (peer-to-peer) network. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2008 holdings: @attributes: islocal: N |
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