Research Data Management 101 + Tool Demonstrations
Researchers work with lots of data both big and small, in many different formats and across various digital systems. The first hour of this workshop will introduce good digital data management practices and how they can be practically applied throughout the research lifecycle. Good data management practices cover pre-project planning, active workflow organization, documentation, storage and backup strategies, and optimizing your final “data package” to fulfill research quality and reproducibility requirements and facilitate and new research. The second hour of this workshop will offer a mini “tour” of research data management tools including GitHub, LabArchives, and Tropy. Participants will be able to attend two of these demonstrations in the time allotted. We will end with a share out about what you’ve learned and how you might apply the tool to your own work. Laptops recommended.
Note: If you register for this workshop, you should not attend Data Management 101 + Discipline Discussions. This workshop will count for 2 RCR credit hours for Graduate Students as part of the RCR Forum series.
The content of the workshop may be recorded. Cameras will capture the instructor station and the display screen. Ambient audio, including verbal audience participation, will be included on the recording. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.
Related LibGuide: Research Data Management by Jen Darragh