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

In this workshop 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 apply strategies for locating and assessing repositories. The workshop will include short lectures and group work via break-out rooms.

This workshop builds upon the foundational concepts covered in the Research Data Management 101 course offered earlier this semester. 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.

Participants are not required to have taken a Research 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 event is offered virtually in accordance with Duke's Coronavirus events policies. A zoom link will be sent via email to registered participants to join the workshop.

This workshop is eligible for 2 hours of Graduate School RCR Credits.

The content of the workshop may be recorded. 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.

Data Management

Related LibGuide: Research Data Management by Jen Darragh

Date:
Thursday, October 1, 2020
Time:
1:00pm - 3:00pm
Campus:
n/a
Categories:
Data and Visualization  

Registration is required. There are 64 seats available.

Event Organizer

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