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2019 Spring RCR Forum Series

Data Management 101 for Social Scientists
Wednesday, Jan 23, 2019
2:00 pm to 4:00 pm

This workshop will introduce data management practices for social scientists to consider and apply throughout the research lifecycle.
More information and registration.

Open Science: General Principles and Practices
Wednesday, Jan 30, 2019
10:00 am to 12:00 pm

This workshop will present an overview of the Open Science movement and the general principles of the movement including the importance of access to data, publications, and the underlying research process as well as new initiatives within scholarly communications that support “openness” of the research endeavor such as preprints, registered reports, persistent identifiers, and community engagement platforms
More information and registration.

Data Management 101 for Humanists
Tuesday, Feb 19, 2019
2:00pm - 4:00pm

This workshop will introduce data management practices for humanities researchers to consider and apply throughout the research lifecycle.
More information and registration.

Managing Sensitive Data
Tuesday, Mar 5, 2019
2:00pm - 4:00pm

In this workshop we will examine common sensitive data types, how Duke’s IRB and Information Technology Security Office (ITSO) expects you to protect that data throughout your project’s lifecycle and the resources available to you for sensitive data storage and analysis, data de-identification, and data archiving and sharing.
More information and registration.

Data Management 101 for Scientists
Tuesday, Mar 19, 2019
2:00pm - 4:00pm

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.
More information and registration.

Data Management 201: Preparing Data for Publishing
Tuesday, Apr 2, 2019
2:00pm - 4:00pm

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 “curating” a dataset for formal sharing. Participants will identify common data issues, determine recommendations to optimize the dataset, generate metadata and documentation, and consider how these practices might be applied to their own research.
More information and registration.