Guide to Computational Reproducibility in Social Science

This guide serves as a comprehensive resource for researchers in computational social science (CSS) and related fields, focusing on the concept of computational reproducibility. It outlines the critical importance of reproducibility in research, particularly in light of the ongoing replication crisis in the social and behavioral sciences. The guide defines key terms such as reproducibility and replicability, emphasizing their distinct meanings and implications for research credibility. It presents a structured framework that addresses reproducibility across three dimensions: form, completeness, and availability of research materials. Additionally, the guide identifies common barriers to achieving reproducibility, including technical challenges, external dependencies, and human factors. By providing initial guidance and practical solutions, this document aims to foster a culture of openness and accountability in research, ultimately enhancing trust in scientific findings and enabling cumulative scientific progress.