jtleek/datasharing resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

6751 stars · 241972 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A written guide by the Leek group explaining best practices for sharing data with statisticians and data scientists. It covers delivering raw data, tidy datasets, code books, and reproducible processing recipes.

Use cases

• how to share data with a statistician
• prepare a tidy dataset for analysis
• write a code book describing variables
• document data processing steps for collaborators
• learn data sharing best practices
• avoid delays when handing off data for analysis

When to choose

• you are a collaborator preparing data for a statistician or data scientist
• you are a student learning how to organize and share datasets
• you want a concise checklist for reproducible data handoff

When to avoid

• you need software tooling rather than written guidance
• you need domain-specific data management standards like clinical trial regulations

Facets

learning-resource · maturity stable

documentation data-science data-science tutorials education cross-platform data-sharing tidy-data best-practices guide

Member repositories

For agents

markdown · JSON · MCP: product_card(name="jtleek/datasharing")