| name | data-management-plan-creator |
| description | Automatically generate NIH 2023-compliant Data Management and Sharing Plan (DMSP) drafts following FAIR principles |
| version | 1.0.0 |
| category | Grant |
| tags | ["NIH","DMP","DMSP","FAIR","research-data","compliance"] |
| author | AIPOCH |
| license | MIT |
| status | Draft |
| risk_level | Medium |
| skill_type | Tool/Script |
| owner | AIPOCH |
| reviewer | |
| last_updated | 2026-02-06 |
Data Management Plan (DMP) Creator
Automatically generate draft Data Management and Sharing Plans (DMSP) compliant with NIH 2023 policy requirements and FAIR principles.
Overview
This Skill generates comprehensive Data Management and Sharing Plans (DMSP) that meet NIH's 2023 Final Policy for Data Management and Sharing. The output follows FAIR principles (Findable, Accessible, Interoperable, Reusable) to ensure research data is properly managed and shared.
Requirements
- Python 3.8+
- No external dependencies required (uses standard library only)
Usage
Command Line
python scripts/main.py \
--project-title "Your Research Project Title" \
--pi-name "Principal Investigator Name" \
--data-types "genomic,imaging,clinical" \
--repository "GEO,Figshare" \
--output dmsp_draft.md
Interactive Mode
python scripts/main.py --interactive
As a Module
from scripts.main import DMSPCreator
creator = DMSPCreator(
project_title="Cancer Genomics Study",
pi_name="Dr. Jane Smith",
institution="National Cancer Institute",
data_types=["genomic sequencing", "clinical metadata"],
estimated_size_gb=500,
repositories=["dbGaP", "GEO"],
sharing_timeline="6 months after study completion"
)
dmsp = creator.generate_plan()
creator.save_to_file("dmsp_output.md")
Parameters
| Parameter | Type | Default | Required | Description |
|---|
--project-title | string | - | Yes | Title of the research project |
--pi-name | string | - | Yes | Name of the Principal Investigator |
