This series is offered via Moodle.
Research Data Management On Demand is made up of four stand-alone classes that introduce principles and practices of research data management. There is no particular order or progression in which to take the classes. Expect to spend up to four hours on each class learning through tutorials, videos and hands-on activities.
Through tutorials, videos and hands-on activities, participants will be able to:
Explain what data curation encompasses
Explain various types of data (e.g. surveys, video, images)
Identify which data elements are important to document
Recommend file naming convention based on best practices
Check a dataset for potential privacy issues
- Reading: Data Management Chapters 3 & 6 (pg. 65-71)Page
- View: NECDMC Module 2Page
- Complete: NYU Compass Module 5Page
- Assignment: Ocean Genome Legacy Case Study
MLA CE Credits: 4