Research Data Management: Learn More about Research Data Management

"The NIH has issued a Data Management and Sharing (DMS) policy(external link), effective January 25, 2023, to promote the sharing of scientific data. There are multiple benefits to sharing scientific data, and ultimately this will facilitate the development of treatments and products that improve human health."

Briney, Kristin. 2023. Caltech Library.

“The Research Data Management Workbook is made up of a collection of exercises for researchers to improve their data management. The Workbook contains exercises across the data lifecycle. Every exercise comes with a description of its value within data management, instructions on how to do the exercise, original source of the exercise (when applicable), and the exercise itself.”

"Research data management (RDM) is the cornerstone of a successful research project, and yet it often remains an underappreciated art that gets overlooked in the hustle and bustle of everyday project management even when required by funding bodies. If researchers are to strive for reproducible science that adheres to the principles of FAIR, then they need to manage the data associated with their research projects effectively."

Briney KA, Coates H, Goben A (2020) Foundational Practices of Research Data Management.
Research Ideas and Outcomes 6: e56508.

"Meeting the challenges of 21st century research require sound research data management. By carefully planning, documenting, and preserving data, the goals of having reproducible and transparent research data are far easier to meet. Further, well-managed data are easier to use and reuse, which translates to more collaboration for researchers and maximum return-on-investment for funders. This primer will cover the basics of research data management, with the goal of helping researchers and those that support them become better data stewards."