Research Transparency Check

Public Summary
We propose to develop Research Transparency Check, including software that provides an automatic assessment and suggestions for the improvement of the transparency of data and methods in research reports before they are published. Research Transparency Check serves people at universities and research institutes, academic journals, and funding agencies. We engage seven data communities for the development of transparency criteria, and checklists for documentation of these criteria specific to the most common sources of data used in the Social Sciences and Humanities.

Project Team

• Daniël Lakens, Technical University Eindhoven
• Annette Langedijk, SURF/ GPT-NL
• Anne de Jong, Amsterdam University of Applied Sciences
• Antske Fokkens, VU Amsterdam
• Carsten Schnober, eScience Center
• Dominik Meier, University of Basel
• Gerben ter Riet, Amsterdam University of Applied Sciences
• Jacco van Ossenbruggen, VU Amsterdam/ ODISSEI
• Ji Ma, University of Texas
• John Doove, SURF
• Lisa DeBruine, University of Glasgow
• Lucia Gomez Teijeiro, University of Geneva
• Marcel Ras, VU Amsterdam
• Mario Malicki, Stanford University
• Maurice Vanderfeesten, VU Amsterdam/ SURF
• Meron Vermaas, VU Amsterdam
• Ricarda Braukmann, DANS
• Sander Bosch, VU Amsterdam
• Tjalling Gerus, Triply
• Tom Emery, ODISSEI