data-management-plan-creatorAutomatically generate NIH 2023-compliant Data Management and Sharing Plan (DMSP) drafts following FAIR principles
Install via ClawdBot CLI:
clawdbot install aipoch-ai/data-management-plan-creatorGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://sharing.nih.gov/data-management-and-sharing-policyAudited Apr 18, 2026 · audit v1.0
Generated May 6, 2026
A research institution prepares multiple NIH grant applications. The skill auto-generates compliant DMSP drafts, saving researchers hours of manual work and ensuring all six required elements are addressed.
A pharmaceutical company managing clinical trial data uses the skill to create DMSPs that specify controlled-access restrictions, repository selection, and sharing timelines aligned with NIH policy.
A university's research office standardizes DMSP creation across departments, using the skill to produce consistent, FAIR-compliant plans that meet institutional and NIH requirements.
A genomics lab generates DMSPs for large-scale sequencing projects, specifying data types, repository selection (dbGaP, GEO), and sharing timelines for genomic and clinical metadata.
An international research consortium uses the skill to create DMSPs that address multi-institutional oversight, data standards, and access restrictions for sensitive cross-border data.
Offer a free tier for basic DMSP generation (e.g., up to 10 plans/month) and a paid subscription for advanced features like custom templates, team collaboration, and priority support.
License the skill as a SaaS product to university research offices and contract research organizations. Includes an admin dashboard for tracking DMSP compliance and usage analytics.
Partner with grant management software (e.g., InfoEd, Grants.gov) to embed the skill as a plugin or API service. Charges per DMSP generated or a flat integration fee.
💬 Integration Tip
Integrate via command-line interface for batch processing or as a Python module for embedding into existing research workflows and portals.
Scored May 6, 2026
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