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ONLINE - Research Data Management 201: How and where to publish your data

This event is now offered virtually due to Duke's Coronavirus-19 Events policy. Please contact sophia.lafferty.hess@duke.edu for information about accessing the workshop. A zoom link will be sent via email to join the workshop. 

Data management practices help researchers take care of their data throughout the entire research process from the planning phase to the end of a project when data might be shared or “published” within a repository. Building upon the foundational concepts covered in the Data Management 101 courses offered this year, this workshop will provide hands-on experience where participants will learn strategies for how to prepare data for publishing by “curating” an example dataset and identifying common data issues. Participants will also learn about the overall role of repositories within the data sharing landscape and learn strategies for locating and assessing repositories. 

Participants are not required to have taken a Data Management 101 course (although it is recommended). This workshop is also a reconceptualization of the previously offered “RDM 201: Preparing Your Data for Publishing” and “Finding a Home for Your Data: An Introduction to Archives and Repositories” workshops offered in previous semesters - participants who have attended these previous workshops should not attend.

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.

Related LibGuide: Research Data Management by Jen Darragh

Tuesday, April 7, 2020
1:00pm - 3:00pm
Other (see event description)
West Campus
Data and Visualization  

Event Organizer

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Jen Darragh
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Sophia Lafferty-Hess
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Center for Data and Visualization Sciences