Research Infrastructure and Reproducibility Questions

Best practices and system design for enabling rigorous, repeatable research. Topics include version control for code and data, experiment tracking and metadata, dataset and model versioning, pipeline automation and orchestration for reproducible runs, artifact storage and provenance, instrumentation for measurement and logging, reproducibility checks and tests, collaborative workflows across teams, and governance considerations that balance reproducibility with privacy and compliance.