Measuring Data Management Practice Maturity: A Community's Self-Assessment.
The article discusses data management practices. Studies have shown that poor data management is on the rise as a result of increasing amounts of data flow within organizations. Analysts say most organizations can benefit from the application of organization-wide data management practices. Data mana...
| Publicado en: | Computer (00189162) Vol. 40; no. 4; pp. 42 - 51 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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IEEE
Apr2007
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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=24671810&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 24671810 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00189162 PUT jtl: Computer (00189162) issn: 00189162 maglogo: N pubinfo: dt: Apr2007 vid: 40 iid: 4 pid: 13605 pub: IEEE artinfo: ui: 24671810 10.1109/MC.2007.139 ppf: 42 ppct: 9 formats: tig: atl: Measuring Data Management Practice Maturity: A Community's Self-Assessment. aug: au: Aiken, Peter Allen, M. David Parker, Burt Mattia, Angela affil: Virginia Commonwealth University Institute for Data Research Data Blueprint J. Sergeant Reynolds Community College su: Database management Information technology Internetworking Organizational communication Business communication Electronic data processing Management information systems Organization charts Charts, diagrams, etc. sug: subj: Database management Information technology Internetworking Organizational communication Business communication Electronic data processing Management information systems Organization charts Charts, diagrams, etc. ab: The article discusses data management practices. Studies have shown that poor data management is on the rise as a result of increasing amounts of data flow within organizations. Analysts say most organizations can benefit from the application of organization-wide data management practices. Data management consists of six interrelated and coordinated processes which are: data program coordination, organizational data integration, data stewardship, data support operations, data development, and data asset use. Detailed graphs and charts explaining data management further are presented. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2007 holdings: @attributes: islocal: N |
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