Join the summit virtually from 9 a.m. to 2 p.m. on Nov. 2 & 3.
Join us for an in-person reception on Nov. 3 from 3 to 5 p.m. at the Science and Engineering Quad - Shriram Tea Room and Sunken Courtyard (443 Via Ortega).
What are Campus IT Plan Summits?
Campus IT Plan Summits are community events focusing on IT efforts across the entire university, based on different strategic areas of the Campus IT Plan. Since 2018, UIT has held five summit events intended to uncover synergies and foster collaboration around one of the themes highlighted in the most recent Campus IT Plan. Data was identified as a major theme of the 2021-22 Campus IT Plan and chosen as the theme for this year’s summit. Since hosting the Administrative Data Summit in May, we learned that there are more data synergies to uncover, so we’re hosting a second summit focusing on research data.
Why should I attend the Research Data Summit?
IT and research data professionals from across campus will learn about the variety of ways in which their colleagues across Stanford are currently supporting the technology, processes, and people that use research data to advance Stanford’s mission. This community event will include time for networking, discussion, and idea-sharing.
Our goals for this summit are to:
- Broaden awareness across disciplines about Stanford’s world-class data infrastructure supporting research.
- Foster ongoing collaboration and communities of practice around effective curation, collection, analysis and use of research data beyond this event.
- Promote a data-centric culture as a central tenet of Stanford’s research mission.
- Showcase examples of excellence across the research data lifecycle.
- Highlight tools and services that help to manage research data.
- Underscore the importance of ethical principles across the research ecosystem.
Agenda:
View the agenda for the Research Data Summit.
Who should attend?
- IT and security professionals
- Compliance/ethics/legal professionals
- Service providers and service consumers
- Data practitioners
- Research data lifecycle managers
- Lab managers
- Study teams that consume research data
- Research analysts
- Health data professionals
- Research administrators
