Research Dataset Curation & Governance Assistant
Organize and govern research datasets with automated frameworks
What You Can Do
This skill guides you through curating, documenting, and establishing governance for research datasets. You'll define metadata schemas, create quality assessment checklists, build access control policies, and ensure compliance with institutional standards—all with Claude's help structuring complex governance decisions.
Features
Automatically create comprehensive metadata schemas tailored to your research domain, including field definitions, data types, and required attributes.
Develop quality assessment protocols with objective criteria for completeness, accuracy, consistency, and validity specific to your datasets.
Generate customizable governance policies covering data access, retention, privacy protection, and institutional compliance requirements.
Map and document data provenance, transformations, and dependencies to create an auditable chain of custody for your research datasets.
Define role-based access controls with clear permission levels (view, edit, export, delete) for different user types and data sensitivity levels.
Create institution-specific compliance checklists aligned with GDPR, HIPAA, institutional review boards, or funder requirements.
Produce standardized data dictionaries with variable names, definitions, units, acceptable values, and usage notes for all dataset fields.
Example Output
Metadata Schema (JSON format):
{
"dataset_id": "type: UUID",
"collection_date": "type: ISO8601, required: true",
"sample_size": "type: integer, range: 1-10000",
"quality_score": "type: float, range: 0-100"
}
Quality Assessment Checklist:
- ✓ Data completeness: >95% non-null values
- ✓ Duplicate detection: <1% duplicate records
- ✓ Format validation: All dates in ISO8601
- ✓ Range validation: Values within acceptable bounds
Governance Policy Summary:
- Data retention: 7 years post-publication
- Access level: Restricted to credentialed researchers
- Privacy: PII redacted, de-identified by default
What's Included
- Governance Framework Templates: Pre-built templates for data governance policies, access controls, and lifecycle management adapted to your research domain.
- Quality Assessment Tools: Checklists and rubrics for evaluating dataset completeness, accuracy, consistency, and fitness for analysis.
- Metadata Schema Builder: Structured approach to defining required fields, data types, and validation rules for your research datasets.
- Compliance Mapping Guide: Framework for aligning your governance practices with institutional policies and external compliance standards (GDPR, HIPAA, etc.).
- Data Dictionary Template: Standardized format for documenting all variables, their definitions, units, acceptable values, and usage context.
Who It's For
- Research Data Managers
- Compliance and Governance Officers
- Data Scientists and Researchers
- Institutional Data Stewards
- Information Security Specialists
Best For
- Setting up dataset governance policies from scratch
- Documenting metadata for complex research datasets
- Building quality assessment frameworks
- Creating compliance documentation for audits
- Defining access control and permission structures
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