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A data-driven public sector: Enabling the strategic use of data for productive, inclusive and trustworthy governance

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  • Charlotte van Ooijen
  • Barbara Ubaldi
  • Benjamin Welby

Abstract

Over the last decade the Open Government Data movement has successfully highlighted the value of data and encouraged governments to open up information for reuse both inside, and outside the public sector. This Working Paper argues that governments now need to go further and put the role and value of data at the core of thinking about the digital transformation of government. A data-driven public sector (DDPS) recognises that data are an asset, integral to policy making, service delivery, organisational management and innovation. The strategic approach governments take to building a DDPS can have a positive impact on the results they deliver by promoting evidence-led policy making and data-backed service design as well as embedding good governance values of integrity, openness and fairness in the policy cycle. After framing the concept the paper presents the opportunities offered by embracing the DDPS approach and identifies some of the challenges that governments may face in establishing a DDPS before concluding with the discussion of the need for coherent strategic approaches that reflect the role of data across the entire public sector, not only from a policy point of view but from an operational and practical perspective.

Suggested Citation

  • Charlotte van Ooijen & Barbara Ubaldi & Benjamin Welby, 2019. "A data-driven public sector: Enabling the strategic use of data for productive, inclusive and trustworthy governance," OECD Working Papers on Public Governance 33, OECD Publishing.
  • Handle: RePEc:oec:govaaa:33-en
    DOI: 10.1787/09ab162c-en
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    Cited by:

    1. Abuljadail, Mohammad & Khalil, Ashraf & Talwar, Shalini & Kaur, Puneet, 2023. "Big data analytics and e-governance: Actors, opportunities, tensions, and applications," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    2. Gabor Izsak & Alexandr Palicz & Katinka Szasz & Balazs Varga, 2022. "The Role of Data Assets in the Financial Sector," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 21(1), pages 164-173.
    3. Dubey, Rameshwar & Bryde, David J. & Dwivedi, Yogesh K. & Graham, Gary & Foropon, Cyril & Papadopoulos, Thanos, 2023. "Dynamic digital capabilities and supply chain resilience: The role of government effectiveness," International Journal of Production Economics, Elsevier, vol. 258(C).
    4. MISURACA Gianluca & BARCEVICIUS Egidijus & CODAGNONE Cristiano, 2020. "Exploring Digital Government transformation in the EU – Understanding public sector innovation in a data-driven society," JRC Research Reports JRC121548, Joint Research Centre.
    5. Brandt, Tobias & Wagner, Sebastian & Neumann, Dirk, 2021. "Prescriptive analytics in public-sector decision-making: A framework and insights from charging infrastructure planning," European Journal of Operational Research, Elsevier, vol. 291(1), pages 379-393.

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