Research Data Management Training On Demand: Data Curation and Documentation

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

Course URL: https://nnlm.gov/training/class-catalog/research-data-management-training-demand

Course Objectives:

Through tutorials, videos and hands-on activities, participants will be able to:

Data Curation and Documentation

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

Agenda:

Data Curation and Documentation

• Pre-test
• 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
• Post-Test

MLA CE Credits: 4