Publishing studies using standardized, machine-readable formats will enable machines to perform meta-analyses on-demand. To build a semantically-enhanced technology that embodies these functions, we developed the Cooperation Databank (CoDa) – a databank that contains ~2,600 studies on human cooperation (1958-2017) published in Chinese, English, and Japanese. Experts annotated these studies for 275 variables, including the quantitative results (effect sizes). We designed an ontology that defines and relates concepts in cooperation research and that can represent the relationships between individual study results. We have created a research platform that, based on the dataset, enables users to retrieve studies that test the relation of variables with cooperation, visualize these study results, and perform (1) meta-analyses, (2) meta-regressions, (3) estimates of publication bias, and (4) statistical power analyses for future studies.

Go to the Cooperation Databank