Research Data Management 101 + Disciplinary Discussions
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 new research. The second hour of this workshop will allow participants to break up into broad disciplinary groups (sciences and engineering, social sciences, and humanities) for a facilitated discussion on how to specifically apply good data management in your field. Be prepared to share your own tips and tricks and challenges for this portion of the workshop.
Note: If you register for this workshop, you should not register for Data Management 101 with Tool Demonstrations. 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