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The German Federal Courts Dataset 1950–2019: From Paper Archives to Linked Open Data

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  • Hanjo Hamann

Abstract

Various reasons explain why Europe lags behind the United States in empirical legal studies. One of them is a scarcity of available data on judicial decision making, even at the highest levels of adjudication. By institutional design, civil‐law judges have lower personal profiles than their common‐law counterparts. Hence very few empirical data are available on how courts are composed and how that composition changes over time. The present project remedies that by easing access to such data and lowering the threshold for empirical studies on judicial behavior. This paper introduces the German Federal Courts Dataset (GFCD) as a resource for empirical legal scholars, with the objective of inspiring more European lawyers to engage with empirical aspects of civil‐law adjudication. To that end, several thousand pages of German court documentation were digitized, transcribed into machine‐readable tables (ready to be imported into statistics software), and published online (www.richter-im-internet.de). To simultaneously explore innovative ways of sharing public‐domain datasets, the data were modeled as linked open data and imported into the Wikidata repository for use in any computational application.

Suggested Citation

  • Hanjo Hamann, 2019. "The German Federal Courts Dataset 1950–2019: From Paper Archives to Linked Open Data," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 16(3), pages 671-688, September.
  • Handle: RePEc:wly:empleg:v:16:y:2019:i:3:p:671-688
    DOI: 10.1111/jels.12230
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    References listed on IDEAS

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    1. Jay N. Krehbiel, 2016. "The Politics of Judicial Procedures: The Role of Public Oral Hearings in the German Constitutional Court," American Journal of Political Science, John Wiley & Sons, vol. 60(4), pages 990-1005, October.
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    Cited by:

    1. 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.
    2. Tilko Swalve, 2022. "Does Group Familiarity Improve Deliberations in Judicial Teams? Evidence from the German Federal Court of Justice," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 19(1), pages 223-249, March.

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