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Research Data Management Workshop In-Person
Tired of searching through inscrutable file folders from that research assistant who left last summer? Sick of looking back at your data and forgetting how or what you collected? This hands-on session will offer best practices in research data management so you can better document your research, and keep your data organized. The first part of the class will discuss current NIH initiatives and requirements, as well as publisher requirements (e.g. PLOS) around data management and sharing. We will provide an introductory nuts and bolts approach to data management including the following topic areas:
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Tangible ways to better manage your data
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How to better document your research to comply with upcoming data management and sharing requirements
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Tools that can be used to better organize and document your data throughout the research process
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Platforms and tools that can be used to provide access to your research data
The second half of the class will be a hands on workshop where you will be asked to sift through data from a case study, and apply the best practices you've learned to organizing and documenting the data more effectively.
- Date:
- Wednesday, April 5, 2017
- Time:
- 3:00pm - 4:30pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Location:
- Lapidus Library Classroom
- Categories:
- Data Day to Day
About the Presenters:
Alisa Surkis is the Head of Data Services and the Translational Science librarian. The Data Services unit provides support for research data management and data visualization, maintains an institutional data catalog, and serves as a locus for education on collecting, managing, analyzing, visualizing, and sharing data. In her role as Translational Science Librarian, Dr. Surkis is the Director of Team Science for the NYU-HHC CTSI and works to facilitate research collaboration. She also leads a cross-institutional effort that uses machine learning to classify studies along the translational research spectrum.
She received her MLS from Queens College, and has an MS in physics from Stanford University, and a PhD in neuroscience from NYU.
Kevin Read serves on the Data Services Team, and is the dedicated librarian for Emergency Medicine and the Skirball Institute of Biomolecular Medicine. Kevin provides training and research support for faculty, residents and staff on topics including: research data management, REDCap, systematic reviews, grant support and citation management. His areas of expertise include research data management, data sharing, literature searching, metadata, and education.
Kevin is also the lead of the NYU Data Catalog project that makes datasets created by, and of interest to NYU researchers more discoverable.
Kevin holds a Master’s of Library and Information Sciences (MLIS) and a Master’s of Archival Science (MAS) from the University of British Columbia in Vancouver, Canada.
Event Organizer
