Upcoming Events

Bridging the Data Divide and hive and bee icon

Bridging the Data Divide  

Join us for Bridging the Data Divide, a panel discussion on data integration hosted at the J. Willard Marriott Library! Researchers and professionals today face complex questions that can only be answered by combining data from multiple sources. This event brings together experts from across disciplines to explore strategies for bridging these data divides and enhancing research collaboration. A networking lunch with panelists and attendees will follow the discussion.

When: Wednesday, November 19 @ 11am to 1pm
Where: MLIB 2753 (level 2)
Speakers:

Jeremias Solari, Senior Assistant Commissioner, Utah Data Research Center, Utah System of Higher Education (USHE)

Marina Kogan, Assistant Professor, Kahlert School of Computing, University of Utah

Nina De Lacy, Assistant Professor, Department of Psychiatry, University of Utah

Ramkiran Gouripeddi, Assistant Professor, Department of Biomedical Informatics, University of Utah

Vikrant G. Deshmukh, Director of Data Science Services and Adjunct Professor, University of Utah

Registration is preferred but not required. For those who register before Nov. 5, lunch will be available. Please register to attend HERE . 

stylized bee and hive icon with text "Data Drop-In Hours"

Data Drop-In Hours

Join us for weekly drop-in hours focused on all things Research Data!

When: Thursdays | 12pm to 1pm
Where: Digital Matters, J. Willard Marriott Library (Level 2)
Hosted by: Kaylee Alexander & Madison Golden, Research Data Librarians

Need help organizing, describing, or sharing your research data?

Wondering what FAIR data means?

Struggling to write a Data Management & Sharing Plan?

  • What We Can Help With:
  • Writing Data Management and Sharing Plans (DMSPs)
  • Organizing data and file structures for active projects
  • Finding and accessing research data
  • Curating and sharing your research data
  • Understanding funder and publisher data requirements
  • Making your data more FAIR (Findable, Accessible, Interoperable, Reusable)

No appointment needed—just drop in!

Can’t make it? Email us to schedule a consultation.

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