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Congratulations—you’ve got research data! This session will walk you through the dos and don’ts associated with research data and artifacts, all of those associated bits of information necessary to understand research data. These can include structured data, images, unstructured data, metadata, analysis scripts, analysis environment, and much more. We’ll cover the tools and resources available to you for making decisions about your research data (and associated bits) with regard to use agreements, security requirements, and copyright and licensing. We’ll also explore some case studies and do a practical applications exercise.

 

Amy Nurnberger is the Program Head for Data Management Services at MIT libraries. Amy also serves as an Adjunct Assistant Professor in the Learning Analytics program at Teachers College, Columbia University. Within the broader research data community, Amy is a co-chair of the Research Data Alliance (RDA)/World Data Services Publishing Data Workflows Working Group and the RDA Education and Training on Handling Research Data Interest Group, and she is the elected co-chair of the RDA Organizational Advisory Board. She also sits on the ACRL Research and Scholarly Environment Committee and the editorial board of Patterns - The Science of Data.

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  • Karla Serrano
  • Venkat Madabusi

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