Research Data Management Training On Demand: Data Sharing and Publishing

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 Sharing and Publishing

Articulate the FAIR data principles
Explain the importance of research reproducibility
Describe the concept of “open data” and challenges for sharing biomedical research data
Explain data sharing incentives, data citations, and data journals

Agenda:

Data Sharing and Publishing

• Pre-test
• Reading: Data Management Chapter 7Page
• Reading: The FAIR Data PrinciplesPage
• Complete: “NYU Compass Module 4″Page
• Watch: BD2K Lecture “Why Data Sharing & Reuse Are Hard To Do?”Page
• Assignment: FAIR Case Study
• Post-test

MLA CE Credits: 4