Pilot 4 - Reproducibility Checklists for Computational Social Science Research
Computational social scientists can enhance the transparency and reproducibility of their work using the simplified Reproducibility Checklist integrated into Methods Hub. The checklist provides essential documentation requirements—covering data, code, computational environment, and sharing—ensuring that methods are easier to understand, reuse, and evaluate. It is embedded in the Methods Hub submission workflow and publicly available in the method guidelines. Developed through literature review and informed by survey insights, the checklist has been refined for usability and tested through user studies and an experimental evaluation. Workshops, training modules, and a published paper support adoption and promote reproducible computational research.
Stakeholders: Computational Social Scientists (Research Producers and consumers)
Objectives: The goal of this Pilot was to enhance reproducibility for code and data through checklists in the research lifecycle.