Operationalizing data governance via multi-level metadata management.

Stefhan Helvoirt, Hans Weigand

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

4 Citations (Scopus)


Today’s rapidly changing and highly regulated business environments demand that organizations are agile in their decision making and data handling. At the same time, transparency in the decision making processes and in how they are adjusted is of critical importance as well. Our research focusses on obtaining transparency by not only documenting but also enforcing data governance policies and their resultant business and data rules by using a multi-level metadata approach. The multi-level approach makes a separation between different concerns: policy formulation, rule specification and enforcement. This separation does not only give more agility but also allows many different implementation architectures. The main types are described and evaluated.
Original languageEnglish
Title of host publicationProceedings of the 14th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society (I3E 2015)
Subtitle of host publicationOpen and Big Data Management and Innovation
EditorsM. Janssen, M. Mäntymäki, J. Hidders, B. Klievink, W. Lamersdorf, B. Van Loenen, A. Zuiderwijk
Place of PublicationDelft
PublisherSpringer Verlag
Number of pages13
ISBN (Print)9783319250120
Publication statusPublished - 2015
Event14th IFIP Conference on e-Business, e-Services and e-Society (I3E 2015) - Delft, Netherlands
Duration: 13 Oct 201515 Oct 2015

Publication series



Conference14th IFIP Conference on e-Business, e-Services and e-Society (I3E 2015)


  • data warehouses
  • data governance
  • metadata
  • business rule enforcement


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