1. Introduction

A data management plan (DMP) is a dynamic document which outlines how data will be managed in terms of storage, access, use and dissemination. Data management plans (DMPs) have become a critical component of high-throughput biomedical research, and a required sub-component of grant proposals, some of which are specific to funding agencies. DMPs not only ensure compliance with funding agency requirements but also contribute to the integrity, accessibility, and reusability of research data.

Researchers and grant writers seeking to include robust data management plans in their proposals will find this document helpful. H3ABioNet supports the development of Data Management Plans in many different areas, one of which is for clinical data collection.

2. Components of a Data Management Plan:

The following are the main key elements that should be included in a DMP.

• Elements of a Data Management Plan

• Checklist for a Data Management Plan

3. Tools and Resources: List of tools, templates, and resources available for creating and implementing DMPs.

• The Digital Curation Centre (DCC)
• Framework for Creating a Data Management Plan
• DMPonline
• Guide to Social Science Data Preparation and Archiving: Although, for social science, it includes basic concepts of RDM/DMP

4. Training Resources: Links to training materials and courses for researchers on data management best practices.

• Research Data Management & DMP
• 10 medical and health research data Things
• The University of Edinburgh Research Data Management Training (MANTRA)
• New England Collaborative Data Management Curriculum
• Data Management Training (DMT) Clearinghouse
• Data Management Adventure Game

5. Importance of adherence to best practices and guidelines:

Adherence to best practices, such as the FAIR Guiding Principles (Findable, Accessible, Interoperable, Reusable), ensures that research data are managed ethically, securely, and transparently [https://h3abionet.org/data-standards/fair-data].

6. Additional relevant links:

• Best practice for developing a Data Management Plan: H3ABioNet DMP Poster presented at the 13th H3Africa Consortium Meeting, 8-12 April 2019, Tunis, Tunisia.
• 10 Simple Rules for Creating a Good DMP:
• 10 principles for machine actionable DMPs (maDMPs)
• UCT Digital Libraries (https://dmp.lib.uct.ac.za/)
• For more information on the FAIR Guiding Principles, visit [https://doi.org/10.1038/sdata.2016.18].
• Access the University of Edinburgh Research Data Management Training (MANTRA) course [https://www.data.cam.ac.uk/data-management-guide].

7. Data Management and Governance Specific Queries
   Questions can be posted to the H3ABioNet Helpdesk under the category "Data Management Plans".