NIH Data Management and Sharing Plan Guide for Researchers

Navigating the complex landscape of research funding requires a clear understanding of compliance policies. Designing a robust plan for data preservation and access is now a critical component of securing federal research grants. This text-based course guides you through the core requirements of the NIH Data Management and Sharing (DMS) policy. You will learn how to draft a compliant plan, select appropriate repositories, and structure your data for long-term accessibility. What you'll learn: 1. Understand the foundational requirements and scope of the NIH Data Management and Sharing policy. 2. Identify suitable data repositories and metadata standards for your specific research field. 3. Estimate and justify allowable data management costs within your budget proposal. 4. Apply best practices for data de-identification, participant privacy, and ethical sharing. 5. Draft a complete, compliant DMS plan using structured written frameworks. The course starts with key terminology and foundational policy concepts before moving into practical, step-by-step guidance on drafting each section of your plan. You will solidify your learning through written case studies and self-assessment exercises. This course is designed for researchers, grant writers, and administrators who are new to the NIH DMS policy and need a straightforward, step-by-step guide. No prior experience with data management planning is required. Prepare your next grant proposal with confidence by mastering modern data sharing standards today.