In research syntheses in the fields of education and behavioral sciences, various methodological approaches, including new AI tools, are employed. The ForSynData project aims to standardize the documentation of research syntheses and the heterogeneous data resulting from them.
It faces three challenges: the heterogeneity of synthesis types, the diversity of data formats, and the integration of semi-automatic applications such as AI tools. The project is developing standards for the documentation of research syntheses to make them openly and sustainably available. The goal of the project is to create a guide for researchers, which will be harmonized with existing standards in research data management in collaboration with RDCs. This is intended to facilitate the sharing and reuse of research syntheses.
The project targets researchers seeking support in transparent documentation and data preparation. The objective is to enable researchers to comprehend and utilize synthesis data from others. Research data centers operating in the fields of educational sciences and psychology are also addressed. Their role involves curating, providing, and acting as intermediaries between data suppliers and users for research synthetic domain-specific data.