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

Arbeitspapier

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).

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: DIW Discussion Papers ; No. 249

Classification and Topics

• Classification: Wirtschaft ; Economic Education and Teaching of Economics: General ; Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access ; Other Substantive Areas of Law: Other
• Subject: Empirische Methode ; Sozialforschung ; Wirtschaftsforschung ; Statistische Methode ; Datenschutz ; Deutschland

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Wagner, Gert G.
• Event: Veröffentlichung
• (who): Deutsches Institut für Wirtschaftsforschung (DIW)
• (where): Berlin
• (when): 2001

Further information

• Handle: http://hdl.handle.net/10419/18233
• Last update: 10.03.2025, 11:41 AM CET