Description:
This course provides an introduction to research data curation and deposit, based on an upcoming Compute Ontario data deposit and curation training course for researchers and research staff. This session will introduce researchers to curation and deposit through a hands on evaluation of a dummy dataset and prepare researchers to:
• Understand the principles behind FAIR and responsible research data sharing
• Make informed decisions about which data to share, where, and under what conditions
• Develop and deposit high-quality datasets with appropriate metadata, documentation, and structure
• Apply disciplinary standards and best practices where relevant
• Navigate institutional, funder, ethics, and journal requirements surrounding data deposits with confidence
Teachers: Elizabeth Philips (McMaster University), Isaac Pratt (McMaster University), Dylanne Dearborn (University of Toronto)
Level: Introductory
Format: Lecture + Hands-on
Certificate: Attendance
Prerequisites: None