[EVENT] Teaching Research Data Management and Reproducibility
Posted in: Events
Date: Monday, April 16th, 2018
Time: 1:00 PM to 4:00 PM
Location: Metro Library Council | 599 11th Avenue, 8th Floor | New York City
Registration: https://www.eventbrite.com/e/teaching-research-data-management-and-reproducibility-ways-to-engage-your-community-in-research-tickets-43200663347
By understanding researchers’ workflows, teaching data management is that much more efficient. In this session, Vicky Steeves (Librarian for Research Data Management and Reproducibility, New York University) will give an introduction to those looking to start offering services around research data management and reproducibility.
Steeves will introduce the concepts, terminology, and best practices of data management and reproducibility from both the perspective of librarians and researchers. Steeves will also demonstrate existing open-source infrastructure and workflows that enable best practices in data management and working more with more reproducibility. Participants will experiment with online tools, engage in discussions, and work on small group activities. Folks walking away from this workshop will have a better idea of how to engage with researchers on these topics, offer more research services, and foster a community of stewardship within their institutions.
Learning objectives:
- Participants will gain an understanding of some basic concepts in data management and reproducibility.
- Participants will know about available tools that help work towards research reproducibility.
- Participants will understand how to offer and scale services around data management and reproducibility.
- Participants will be able to, at the very least, know what to look up when Googling.
This is an introductory workshop; no prerequisite knowledge or experience is required.
About Our Instructor
Vicky Steeves is the Librarian for Research Data Management and Reproducibility, a dual appointment between NYU’s Division of Libraries and Center for Data Science. In this role, she works supporting students, faculty, staff, and researchers in creating well-managed, high quality, and reproducible research through facilitating use of tools such as ReproZip. Her research centers on integrating reproducible practices into the research workflow, advocating openness in all facets of research (code, data, analysis tools, etc.), and building/contributing to open infrastructure.