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Coordinating decision-making in data management activities: A systematic review of data governance principles

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


Original languageEnglish
Title of host publicationElectronic Government - 15th IFIP WG 8.5 International Conference, EGOV 2016, Proceedings
PublisherSpringer Verlag
Number of pages11
ISBN (Electronic)978-3-319-44421-5
ISBN (Print)978-3-319-44420-8
Publication statusPublished - 2016
Publication typeA4 Article in a conference publication
EventIFIP electronic government conference - , United Kingdom
Duration: 1 Jan 2000 → …

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceIFIP electronic government conference
CountryUnited Kingdom
Period1/01/00 → …


More and more data is becoming available and is being combined which results in a need for data governance - the exercise of authority, control, and shared decision making over the management of data assets. Data governance provides organizations with the ability to ensure that data and information are managed appropriately, providing the right people with the right information at the right time. Despite its importance for achieving data quality, data governance has received scant attention by the scientific community. Research has focused on data governance structures and there has been only limited attention given to the underlying principles. This paper fills this gap and advances the knowledge base of data governance through a systematic review of literature and derives four principles for data governance that can be used by researchers to focus on important data governance issues, and by practitioners to develop an effective data governance strategy and approach.


  • Data, Data governance, Data management, Data quality, E-Government, Governance

Publication forum classification

Field of science, Statistics Finland