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Introducing HUNCOURT: A New Open Legal Database Covering the Decisions of the Hungarian Constitutional Court for Between 1990 and 2021

Author

Listed:
  • Miklós Sebők

    (Institute for Political Science, Centre for Social Sciences)

  • Rebeka Kiss

    (Institute for Political Science, Centre for Social Sciences
    University of Public Service)

  • István Járay

    (Institute for Political Science, Centre for Social Sciences)

Abstract

This article presents HUNCOURT, a complex open legal database for the quantitative analysis of the practice of the Hungarian Constitutional Court (HCC). Covering all HCC decisions and orders published between 1990 and 2021, the new database is published under an Open Database License and allows for advanced queries that go beyond the search engine options of industry-standard proprietary legal databases. We bypass the often inaccurate and time-consuming manual search options by providing a full text database that is entirely machine-readable, along with a full selection of available metadata. In the article, we also demonstrate the potential of the new database for scholarly research by presenting a use case for such analysis related to the self-reflexivity and reasoning of the constitutional court. We show that a state-of-the-art database opens up possibilities for applying quantitative text analysis and text mining to research questions that have so far been mostly analysed in a qualitative framework.

Suggested Citation

  • Miklós Sebők & Rebeka Kiss & István Járay, 2024. "Introducing HUNCOURT: A New Open Legal Database Covering the Decisions of the Hungarian Constitutional Court for Between 1990 and 2021," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 6507-6540, June.
    • Handle: RePEc:spr:jknowl:v:15:y:2024:i:2:d:10.1007_s13132-023-01395-6
    DOI: 10.1007/s13132-023-01395-6
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    References listed on IDEAS

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    1. Hess, Thomas & Matt, Christian & Benlian, Alexander & Wiesböck, Florian, 2016. "Options for Formulating a Digital Transformation Strategy," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 81032, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    2. Hess, Thomas & Matt, Christian & Benlian, Alexander & Wiesböck, Florian, 2016. "Options for Formulating a Digital Transformation Strategy," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 82423, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    3. Grimmer, Justin & Stewart, Brandon M., 2013. "Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts," Political Analysis, Cambridge University Press, vol. 21(3), pages 267-297, July.
    4. Keren Weinshall & Lee Epstein, 2020. "Developing High‐Quality Data Infrastructure for Legal Analytics: Introducing the Israeli Supreme Court Database," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 17(2), pages 416-434, June.
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