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Deutscher Verband von DAMA International
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Deutscher Verband von DAMA International
Im Rahmen der Mitgliederversammlung des Deutschen Verbandes von DAMA International (www.dama.org) findet am 08. März 2005 im IPSI-Fraunhofer Institut Darmstadt ein Seminar mit dem Thema "Meta Data: Quality and Integration" statt. Der Referent Peter Aiken ist CEO des Institutes für Data Research und Associate Professor für Information Systems, Virginia Commonwealth University; Berater und Author im Bereich Daten Management.
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Seminar Beschreibung:
Little guidance has been available to organizations interested in addressing the necessary dimensions of metadata management to ensure quality in increasingly encountered situations when its usage crosses system boundaries. The basic concept of metadata quality as a foundation for data quality engineering is proposed, as well as an extended data life cycle model consisting of eight phases: metadata creation, metadata structuring, metadata refinement, data creation, data utilization, data assessment, data refinement, and data manipulation. This extended model will enable further development of life cycle phase-specific metadata quality engineering methods. The talk also expands the concept of applicable metadata quality dimensions, presenting its as a function of four distinct components: value quality; representation quality; model quality; and architecture quality. Each of these, in turn, is described in terms of specific metadata quality attributes.
Weitere Informationen:
Ekkehard Schwarz
http://www.is.informatik.uni-kiel.de/~dama/
Little guidance has been available to organizations interested in addressing the necessary dimensions of metadata management to ensure quality in increasingly encountered situations when its usage crosses system boundaries. The basic concept of metadata quality as a foundation for data quality engineering is proposed, as well as an extended data life cycle model consisting of eight phases: metadata creation, metadata structuring, metadata refinement, data creation, data utilization, data assessment, data refinement, and data manipulation. This extended model will enable further development of life cycle phase-specific metadata quality engineering methods. The talk also expands the concept of applicable metadata quality dimensions, presenting its as a function of four distinct components: value quality; representation quality; model quality; and architecture quality. Each of these, in turn, is described in terms of specific metadata quality attributes.
Weitere Informationen:
Ekkehard Schwarz
http://www.is.informatik.uni-kiel.de/~dama/
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