AROS Seminar: Machine-Readable Science Accelerates Research Synthesis: The Cooperation Databank
By Giuliana Spadaro (VU Amsterdam)
Oplysninger om arrangementet
Zoom meeting ID 655 4886 7322
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) – an open access databank that contains 2,641 studies on human cooperation (1958-2017). Experts annotated these studies for 312 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. CoDa offers a vision of how publishing studies in a machine-readable format can establish institutions and tools that improve scientific practices and knowledge.
Read about the Aarhus Reproducibility and Open Science Seminars here.
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