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RDM On-demand: Data Curation and Documentation

Class Details

This class is offered via Moodle.
Learning objectives:

  • 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
Kirsten Burcat, MLIS, Data & Evaluation Coordinator
Continuing Education Credits: 

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. 
The individual classes are:
1. Open Science and Data Science
2. Data Curation and Documentation
3. Data Security, Storage and Preservation
4. Data Sharing and Publishing


See each individual class for learning objectives.