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Autonomous Organization of the (International) Scientific Community Would Simplify Data Protection in the Social Sciences and Encourage Reanalysis

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  • Gert G. Wagner

Abstract

In den Sozial- und Wirtschaftswissenschaften besteht ohne die Moeglichkeit einer Re-Analyse von statistischen Ergebnissen (gleichermaßen amtlichen wie nicht-amtlichen) die Gefahr von nicht entdeckten Irrtuemern. Mit anderen Worten: Re- Analysen sind in der Wissenschaft die "Berufungsinstanz", ohne die es keine funktionierende Scientific Community geben kann. Der Schutz vor fehlerhaften wissenschaftlichen Ergebnissen mit Hilfe von Re-Analysen ist ein "oeffentliches Interesse", das in der Datenschutzdiskussion und insbesondere bei der Auslegung von Datenschutzregelungen bislang zu wenig beachtet wurde. Das Wissenschaftssystem und der Gesetzgeber sind gleichermaßen aufgefordert, Re-Analysen zu ermoeglichen ohne den Datenschutz zu verletzen. Als Instrumente werden Selbstbindungen im Wissenschaftssystem und die Schaffung eines gesetzlichen "Forschungsdaten-Geheimnisses" diskutiert. The re-analysis of statistical data is an effective means of protecting the public from undiscovered errors in social science research. Re-analysis is critical, as there is no difference between official data and non-official data. However, discussions concerning data protection legislation do not usually take this into consideration. Proper data protection rules must make it possible to conduct independent re-analysis of protected data. The paper discusses the possibilities of self-binding in the (international) scientific community and creating a new kind of law which would provide scientific data with a special legal status (Forschungsdaten- Geheimnis).

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File URL: http://www.diw.de/documents/publikationen/73/diw_01.c.38491.de/dp249.pdf
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Bibliographic Info

Paper provided by DIW Berlin, German Institute for Economic Research in its series Discussion Papers of DIW Berlin with number 249.

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Length: 13 p.
Date of creation: 2001
Date of revision:
Handle: RePEc:diw:diwwpp:dp249

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  1. Williamson, Samuel H & Jones, Warren L, 1983. "Computing the Impact of Social Security Using the Life Cycle Consumption Function," American Economic Review, American Economic Association, American Economic Association, vol. 73(5), pages 1036-52, December.
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