dataset-discovery-and-analysis
CommunityFind, fetch, and profile public datasets with trusted quality.
Authorpeterbamuhigire
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill helps researchers locate, retrieve, and quality-check public datasets to support transparent, reproducible research. It enforces Segnini-style five-step verification and provides a ready-made dataset citation record.
Core Features & Use Cases
- Discover public datasets across government portals, IGOs, academia, and ML hubs.
- Retrieve datasets with integrity checks (SHA-256) and track licenses.
- Profile datasets using Segnini's five-step verification and produce quality notes.
- Generate dataset-ready artefacts such as shortlists, retrieved files, and citations for publication.
Quick Start
Provide a research question and constraints; the skill will search for suitable datasets, retrieve them with integrity checks, and generate a Segnini-compliant quality profile.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: dataset-discovery-and-analysis Download link: https://github.com/peterbamuhigire/digital-research-skills/archive/main.zip#dataset-discovery-and-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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