Autonomous organization of the (international) scientific community would simplify data protection in the social sciences and encourage reanalysis

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).