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

Paul Brous, Marijn Janssen, Riikka Vilminko-Heikkinen

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

    50 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publicationElectronic Government - 15th IFIP WG 8.5 International Conference, EGOV 2016, Proceedings
    PublisherSpringer Verlag
    Pages115-125
    Number of pages11
    ISBN (Electronic)978-3-319-44421-5
    ISBN (Print)978-3-319-44420-8
    DOIs
    Publication statusPublished - 2016
    Publication typeA4 Article in conference proceedings
    EventIFIP electronic government conference - , United Kingdom
    Duration: 1 Jan 2000 → …

    Publication series

    NameLecture Notes in Computer Science
    Volume9820
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    ConferenceIFIP electronic government conference
    Country/TerritoryUnited Kingdom
    Period1/01/00 → …

    Keywords

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

    Publication forum classification

    • Publication forum level 1

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • General Computer Science

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