Research data repositories are publishing platforms for your data sets. BOREALIS (formerly Dataverse) is an excellent repository option for researchers working in Canada who wish to publish their data for open science workflows, or to meet funder requirements. This session will help you understand your data workflow, the importance of documenting it, and the FAIR principles for curating your data with a view towards sharing it with others. We will also address when it is not ok to share your data and what you should do with it instead. We will demo a case study of a bilingual historian who uses transcription from 19th c general store notebooks into excel sheets, and how she has published these tabular data and textual hybrids in Dataverse. This will be meaningful to mixed-methods researchers in the Humanities, Social Sciences, and related disciplines. This session includes:
1.5 hour-long Dataverse instruction module, with worksheet for breakout discussion.
Time for group Q&A.
This workshop will be delivered in 1 session:
- Session 1: Thursday, July 28, 2022 from 1:30 PM to 3:00 PM EDT
Registration opens: July 11, 2022 at 12:00 PM EDT.
- Teacher: Fatoumata Bah
- Teacher: Felicity Tayler