RDAP14 Poster: Samantha Guss Data management planning and responsible conduct of research: a pilot educational partnership at NYU
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RDAP14 Poster: Samantha Guss Data management planning and responsible conduct of research: a pilot educational partnership at NYU

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Data management planning and responsible conduct of research: a pilot educational partnership at NYU ...

Data management planning and responsible conduct of research: a pilot educational partnership at NYU

Research Data Access & Preservation Summit
March 26-28, 2014
San Diego, CA

Samantha Guss, New York University

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RDAP14 Poster: Samantha Guss Data management planning and responsible conduct of research: a pilot educational partnership at NYU RDAP14 Poster: Samantha Guss Data management planning and responsible conduct of research: a pilot educational partnership at NYU Presentation Transcript

  • Data management and Responsible Conduct of Research: A pilot educational partnership at NYU • Small group discussions and videos worked great. • Encourage students to share their own experiences - they already work with data. • Get list of attendees as soon as possible (know your audience). • Conduct assessment. • Make it fun! • Be flexible (be ready to tailor content to audience interests on the fly). Lessons learned Future plans • Identify & reach out to other RCR administrators • Partner with Subject Liaison Librarians (to make dept contacts) • Offer walk-in workshop open to anyone • Provide cross-training for other librarians Design process …and special considerations • Surveyed landscape of RCR and data management training offered by other institutions; borrowed existing content and examples. • Looked for compelling, real-world examples (preferably multimedia). • Considered how best to encourage discussion and integrate active learning. • Framing data management planning topics for people who are not in the “planning” stage of their projects • Working within the confines of current NYU services, i.e. some recommendations might be incomplete/not ideal • Considering our audience: hard science & social science, but not all disciplines within Jill Conte, Samantha Guss, Margaret Smith New York University Division of Libraries http://nyu.libguides.com/data_management • NYU’s RCR Program Administrator (Associate Director of Office of Postdoctoral Affairs, who sits in the Office of Sponsored Programs, and falls under the Associate Vice Provost for Research Compliance & Administration) • NYU Librarians (Data Services & Public Policy Librarian, Librarian for Physical Sciences, Librarian for Sociology, Psychology, and Gender & Sexuality Studies) The partnership What is the Responsible Conduct of Research (RCR) program? “it is the responsibility of each institution to determine both the content and the delivery method for the training that will meet the institution’s specific needs for RCR training” http://www.nsf.gov/pubs/policydocs/rcr/rcrfaqs.jsp#4 NSF In 2010, the NSF and NIH began requiring that anyone supported by grant funds-- including students, faculty, and postdoctoral researchers-- complete “Responsible Conduct of Research” (RCR) training provided by his or her university or department. Everyone supported by grant funds must participate in NYU’s RCR program by attending 2-3 RCR workshops per year. These generally last around 2 hours and are on topics like Publication & Authorship, Research Misconduct & Conflict of Interest… and Data Management! http://en.wikipedia.org/wiki/File:NYC_-_Whashington_Square_park_-_Arch.jpg At NYU: • Schools and departments can choose to administer their own RCR programs (some do -- e.g. Anthropology, Psychology). • If there is no school/department RCR training, grantees participate in the central RCR program. The RCR workshop on data management Learning objectives Participants will... • understand the importance of data management. • reflect critically on their existing data management practices. • be exposed to strategies and techniques for managing their data. • become aware of library support services for data management. Program content • Worst-case scenarios + small group discussions • Definitions, policies, best practices • Library tools & services for data management • Short, funny video + small group discussions