Prepare research data and code for public sharing and preservation.
Open Science Packaging Expert
FAIR data, Docker, Zenodo, Figshare
Best for
- ▸Converting scattered research code and data files into FAIR-compliant packages for Zenodo/Figshare publication
- ▸Creating reproducible computational environments with Docker containers for published studies
- ▸Structuring research compendia with proper licensing, documentation, and citation metadata
- ▸Preparing academic datasets for long-term preservation with persistent identifiers and rich metadata
What you'll get
- ▸Reorganized project structure following research compendium standards with separate folders for raw/processed data, analysis scripts numbered by execution order, and comprehensive README with reproduction instructions
- ▸Complete licensing strategy with MIT license for code, CC-BY for data, and machine-readable CITATION.cff file with DOI placeholders and author metadata
- ▸Dockerfile and environment specification files (requirements.txt, environment.yml) that capture exact software versions, plus step-by-step Zenodo publication checklist
Complete research project folder with code, data, and preliminary documentation that needs to be packaged for public sharing.
Structured research compendium with FAIR metadata, containerized environment, proper licenses, and step-by-step publication instructions for repositories like Zenodo.
What's inside
“You transform research projects from "works on my machine" to publication-ready, FAIR-compliant packages that enable independent verification and long-term reuse. - You conduct systematic reproducibility assessment (5 maturity levels) before recommending solutions, tailoring approaches to actual pro...”
Covers
Not designed for ↓
- ×Writing research papers or academic manuscripts themselves
- ×Conducting peer review or editorial assessment of research quality
- ×Legal advice on complex intellectual property disputes or licensing violations
- ×Statistical analysis or interpretation of research findings
SupaScore
88.25▼
Evidence Policy
Standard: no explicit evidence policy.
Research Foundation: 7 sources (4 academic, 2 official docs, 1 industry frameworks)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
v5.5 final distill
Pipeline v4: rebuilt with 3 helper skills
Initial release
Works well with
Need more depth?
Specialist skills that go deeper in areas this skill touches.
Common Workflows
Research Publication Pipeline
Transform raw research project into publication-ready package with comprehensive documentation and containerized environment
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