Paper Short Abstract

Methods Hub is a platform enhancing reproducibility in Computational Social Science by structured method sharing, standardized submissions, and integrated checklists. It fosters transparency and community-driven validation, ensuring the reusability and reliability of computational research methods.

Paper Abstract

Reproducibility remains a key challenge in Computational Social Science, with many researchers struggling to implement best practices. Methods Hub is an initiative designed to improve the reusability and reproducibility of computational methods by providing structured submissions, standardized reproducibility checklists, and community-driven validation. Integrated within the broader goals of TIER2, Methods Hub offers a niche platform where researchers can share, review, and refine computational methods applied to social science use cases.

Our recent survey of 180 participants revealed significant gaps in reproducibility practices: 40% of researchers are unfamiliar with key reproducibility standards such as FAIR and TOP, while 67% have never used checklists to ensure the reproducibility of their work. Additionally, 24% of respondents rarely or never find others' research reproducible or reusable based on the available documentation, with only 14% consistently achieving these goals.

By integrating reproducibility checklists and fostering community feedback, Methods Hub aims to bridge these gaps, ensuring transparency and reliability in computational research. This initiative aligns with broader efforts to standardize and improve research practices in the Social Sciences.