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Drexel Library

Research Data Management Resources


This guide was created to direct faculty, researchers, and graduate students to different training resources, tutorials and tools that can help you manage your research data.

For information about changes in NIH policy, see our 2023 NIH Data Management and Sharing Plan Guide

For more information about Drexel’s data management support services, email or contact your liaison librarian.

What is research data management?

Research data management is a critical part of all stages of the research lifecycle, beginning with idea conception and continuing through proposal writing, generation of results, the publication process, and curation of research data for public access. The Libraries’ Research Data Management Support provides Drexel researchers consultation in data management to help meet funder and publication requirements, and to increase the visibility of Drexel research.

Other Guides

These Drexel library guides have more information on research data management topics.


2023 NIH Data Management and Sharing Plan

Research Data Repositories

Digital Object Identifiers (DOIs)

In-Depth Courses

If you're looking for a general introduction on best practices for research data management,  the Data Management Skillbuilding Hub from DataOne is an excellent starting point. You can filter content by lesson topic, best practices and video.

For a comprehensive overview, there are plenty of options out there.

Coursera  offers an introduction to research data management and sharing. It includes modules on data organization, documentation, storage, security, data management and sharing plans and repository assessment.  Fee-based certificate options are also available.  

Research Data Management Librarian Academy (RDMLA) is designed for the research community.  This free, modular course by Canvas focuses on the  data life-cycle and the skills needed to collaborate with researchers, administrators and other stakeholders in the research ecosystem.

There are also resources from other institutions for researchers on how to practice good research data management including  Carnegie Mellon University, NYU Libraries, the University of Washington, and NLM