1 مستودع
Guidelines and processes for organizing raw and tidy datasets to ensure computational reproducibility.
Distinct from Secure Data Sharing: Focuses on organizational guidelines for research reproducibility, not secure network sharing or memory exchange.
Explore 1 awesome GitHub repository matching data & databases · Research Data Sharing Frameworks. Refine with filters or upvote what's useful.
This project is a research data sharing framework and provenance protocol designed to ensure computational reproducibility. It provides a standardized set of guidelines for transforming raw source data into tidy formats through documented processing scripts and cleaning workflows. The framework distinguishes itself by emphasizing a strict provenance-based packaging system. It requires the organization of raw data, processing recipes, and code books into a single package, ensuring that original unmodified sources are preserved to allow for independent verification of all transformation steps.
Provides a standardized framework for organizing raw data and tidy datasets to ensure computational reproducibility.