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Vom potenziellen Datenangreifer zum zertifizierten Wissenschaftler – Für eine Neugestaltung des Wissenschaftsprivilegs beim Datenzugang

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  • Ulrich Rendtel

Abstract

The article advocates for a paradigm shift for the access of scientists to data from official statistics. Trust, verified by certification, creates new and efficient possibilities for remote data access. The author sketches the development of data access for scientists under the existing federal data protection law (Bundesstatistikgesetz). Alternative concepts for data access in Sweden, England and the Netherlands are displayed. The article refers to the corresponding suggestions of the Statistical Council (Statistischer Beirat) made in November 2012 and discusses the chances of their realization. Copyright Springer-Verlag Berlin Heidelberg 2014

Suggested Citation

  • Ulrich Rendtel, 2014. "Vom potenziellen Datenangreifer zum zertifizierten Wissenschaftler – Für eine Neugestaltung des Wissenschaftsprivilegs beim Datenzugang," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 8(4), pages 183-197, November.
    • Handle: RePEc:spr:astaws:v:8:y:2014:i:4:p:183-197
    DOI: 10.1007/s11943-014-0148-3
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    References listed on IDEAS

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    1. Ralf Münnich & Jan Burgard & Martin Vogt, 2013. "Small Area-Statistik: Methoden und Anwendungen," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 6(3), pages 149-191, March.
    2. Ulrich Rendtel, 2012. "Die Zukunft der Statistik: Eine persönliche Betrachtung," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 5(4), pages 253-267, March.
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    Cited by:

    1. Ulrich Rendtel & Willi Seidel & Christine Müller & Florian Meinfelder & Joachim Wagner & Jürgen Chlumsky & Markus Zwick, 2022. "Statistik zwischen Data Science, Artificial Intelligence und Big Data: Beiträge aus dem Kolloquium „Make Statistics great again“ [Statistics between data science, artificial intelligence and big da," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 16(2), pages 97-147, June.
    2. Ralf Thomas Münnich, 2015. "Vorwort des Herausgebers," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 9(1), pages 1-3, April.
    3. Ralf Thomas Münnich, 2014. "Vorwort des Herausgebers," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 8(4), pages 179-181, November.
    4. Ralf Thomas Münnich, 2015. "Vorwort des Herausgebers," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 9(2), pages 79-81, November.
    5. Joachim Wagner, 2015. "25 Jahre Nutzung vertraulicher Firmenpaneldaten der amtlichen Statistik für wirtschaftswissenschaftliche Forschung: Produkte, Projekte, Probleme, Perspektiven," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 9(2), pages 83-106, November.

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