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fair-data

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Ensure your research data is Findable, Accessible, Interoperable, and Reusable.

Education & Research#data management#metadata#data sharing#research data#FAIR data
Authorpradyumnasagar
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps researchers ensure their data is FAIR (Findable, Accessible, Interoperable, and Reusable), adhering to best practices for data management and sharing.

Core Features & Use Cases

  • FAIR Data Principles: Guides users through the FAIR principles for data management.
  • Repository Selection: Assists in choosing the appropriate data repository.
  • Metadata Writing: Provides templates and guidance for writing machine-readable metadata.
  • License Application: Recommends open licenses for data sharing.
  • Data Linking: Ensures data is linked to publications and code.
  • Use Case: For a researcher preparing a data management plan and looking to share their data in a FAIR manner.

Quick Start

Use the fair-data skill to check your data against the FAIR principles and ensure it is properly managed and shared.

Dependency Matrix

Required Modules

None required

Components

scriptsreferencesassets

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: fair-data
Download link: https://github.com/pradyumnasagar/open-research-skills/archive/main.zip#fair-data

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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