On December 1, 2020, Anna Schwickerath and Sebastian Netscher presented a poster on the International FAIR Convergence Symposium 2020, titled Domain Data Protocols for Educational Research in Germany.
The poster examines the increasing relevance to make research processes as transparent as possible, to enable reproducible research results, and to share (research) data FAIRly and openly with others. Such requirements can be challenging for researchers, as not all of them are familiar with the concepts of FAIR and open data. At the same time, existing tools (and guidance) to foster the creation of FAIR data – such as templates for data management plans – vary to a great extent, rarely indicating what the best practice solution is. The project Domain Data Protocols for Educational Research in Germany aims to address this issue by developing a standardized tool to create data management plans. Funded by the German Federal Ministry of Education and Research, it brings together twelve German research institutions with diverse areas of expertise on educational research to develop so-called Domain Data Protocols (in short DDPs).
However, developing DDPs is not without challenges, as their structure needs to be flexible enough to cover different types of data and methods and to enable researchers to reflect their project-specific requirements. DDPs, therefore, consists of different modules, e.g. in the context of data collection, documentation, legal issues, and data sharing. Each of these modules contains different elements defining a minimum set of requirements on what FAIR data look like and includes use cases, standards, relevant regulations as well as further resources on related data management practices.