What is the solution Secure Data Facilities could offer to enable reproducibility for papers based on personal and confidential data?
Reproducibility for articles based on personal, confidential and sensitive data remains a growing concern for journals, researchers, and data service providers. Access constraints and limited resources prevent peer reviewers from directly reproducing research based on these types of data. At the moment, researchers submit their code to a journal to support their findings. However, Secure Data Facilities are increasingly receiving inquiries about robust and transparent solutions to enable reproducibility for peer reviewers prior to paper publication.
Building on previous presentations on the topic, in this talk, we will present possible solutions Secure Data Facilities could offer to service the increasing demand to enable reproducibility for papers based on personal and confidential data.
Presenters: Beate Lichtwardt and Cristina Magder UK Data Service, UKDA, University of Essex
Presentation slides are available on the event page: [ Ссылка ]
