Research Data Management

This online, self-paced program consists of 2 hours of synchronous virtual workshops and 2.5 hours of individual work.

In this badge program, participants will receive the Research Data Management badge by completing data management workshops and demonstrating competency with research data management best practices. Participants will learn basic strategies for research data management throughout the research lifecycle. This approach will provide a whole-project perspective for research data management which will prepare participants to craft data management plans at the beginning of a project rather than trying to design pieces throughout the project’s lifespan. Participants will also learn to apply the FAIR principles for data sharing to ensure their shared data is Findable, Accessible, Interoperable, and Reusable. Application of the FAIR principles will help participants understand the importance of metadata, documentation, open file formats, and comprehensibility when sharing their research data. Finally, participants will learn how to write a data management plan using the DMPTool. This will allow them to take the next step and apply materials and concepts from the program toward their own success.

Participants will acquire the following key competencies:

• learn strategies for basic data management including file naming, versioning, metadata and documentation, storage and preservation, and data sharing

• apply the FAIR principles for data sharing to datasets and understand the justification for good data sharing practices

• write a data management plan using the DMPTool to learn best practices for developing a plan, to apply materials and concepts from the program toward their own success, and to coordinate and leverage resources available at UD.

To earn the Research Data Management digital badge, each participant must:

• Attend two one-hour virtual workshops on research data management

• Complete a self-paced canvas course and quizzes with a passing grade

• Demonstrate proficiency in the final data management project