Scientific findings as big data for research synthesis: The metaBUS project

We describe the metaBUS project, a large-scale research curation effort supported by the Digging into Data Challenge. This ongoing effort involves the extraction and cu-ration of a corpus of more than one million individual research findings from organizational research. The approach involves the development of a comprehensive hierarchical taxonomy containing thousands of variables studied in the scientific space. Technological enablements allow linkages between the taxonomy and research findings fostering the development of a research finding search engine at the level of individual primary studies that allows the conduct of instant meta-analyses on virtually any relation of interest in organizational research.