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Institutions, infrastructures, and data friction – reforming secondary use of health data in Finland

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  • Aula, Ville

Abstract

New data-driven ideas of healthcare have increased pressures to reform existing data infrastructures. This article explores the role of data governing institutions during a reform of both secondary health data infrastructure and related legislation in Finland. The analysis elaborates on recent conceptual work on data journeys and data frictions, connecting them to institutional and regulatory issues. The study employs an interpretative approach, using interview and document data. The results show the stark contrast between the goals of open and Big Data inspired reforms and the existing institutional realities. The multiple tensions that emerged during the process indicate how data frictions emanate to the institutional level, and how mundane data practices and institutional dynamics are intertwined. The article argues that in the Finnish case, public institutions acted as sage-guards of public interest, preventing more controversial parts from passing. Finally, it argues that initiating regulatory and infrastructural reforms simultaneously was beneficial for solving the tensions of the initiative and analysing either side separately would have produced misleading accounts of the overall initiative. The results highlight the benefits of analysing institutional dynamics and data practices as connected issues.

Suggested Citation

  • Aula, Ville, 2019. "Institutions, infrastructures, and data friction – reforming secondary use of health data in Finland," LSE Research Online Documents on Economics 101454, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:101454
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    File URL: http://eprints.lse.ac.uk/101454/
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    1. Ross Williams, 2013. "Introduction," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 46(4), pages 460-461, December.
    2. Susan Leigh Star & Karen Ruhleder, 1996. "Steps Toward an Ecology of Infrastructure: Design and Access for Large Information Spaces," Information Systems Research, INFORMS, vol. 7(1), pages 111-134, March.
    3. Matthew S. Mayernik, 2016. "Research data and metadata curation as institutional issues," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(4), pages 973-993, April.
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    Cited by:

    1. Korayim, Diana & Chotia, Varun & Jain, Girish & Hassan, Sharfa & Paolone, Francesco, 2024. "How big data analytics can create competitive advantage in high-stake decision forecasting? The mediating role of organizational innovation," Technological Forecasting and Social Change, Elsevier, vol. 199(C).

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    JEL classification:

    • J50 - Labor and Demographic Economics - - Labor-Management Relations, Trade Unions, and Collective Bargaining - - - General

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