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Coordinating Decision-Making in Data Management Activities: A Systematic Review of Data Governance Principles

  • Paul Brous
  • Marijn Janssen
  • Riikka Vilminko-Heikkinen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9820)

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.

Keywords

Data Governance e-Government Data governance Data quality Data management 

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© IFIP International Federation for Information Processing 2016

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Authors and Affiliations

  • Paul Brous
    • 1
  • Marijn Janssen
    • 1
  • Riikka Vilminko-Heikkinen
    • 2
  1. 1.Delft University of TechnologyDelftThe Netherlands
  2. 2.Tampere University of TechnologyTampereFinland

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