Data Management 101 for Scientists
Scientists work with lots of data both big and small, and in many formats and systems. This workshop will introduce data management practices for scientists to consider and apply throughout the research lifecycle. Good data management practices pertaining to planning, organization, documentation, storage and backup, sharing, citation, and preservation will be presented through a sciences lens using discipline-based, concrete examples. While good general data management practices are relevant across disciplines, participants working specifically within the sciences are the intended audience for this workshop.
This workshop is eligible for 2 hours of Graduate School RCR credits.
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.
- Tuesday, March 19, 2019
- 2:00pm - 4:00pm
- Bostock 127 (The Edge Workshop Room)
- West Campus
- Data and Visualization