Class Experience Level
Beginner
This class is full
This class is no longer accepting registrations
This 2-week, 4 credit-hour, self-paced online class looks at foundational data management skills with an emphasis on key topics relating to Data Management Plans (DMPs), understanding standards and metadata in a biomedical context, identifying appropriate biomedical data repositories, understanding data sharing and data citation, and knowing and applying best practices in data visualization.
Objectives:
- Describe how the data life cycle fits into the larger research lifecycle
- Recommend file naming conventions and file formats based on best practices
- Apply selected metadata standards to a given dataset in order to facilitate better sharing of data and understands the rationale for metadata
- Identify appropriate data repositories
- Discuss potential solutions for datasets with security/privacy issues (HIPAA) and develops an understanding of intellectual property and privacy and confidentiality issues when it comes to sharing data
- Articulate FAIR principles and explain data sharing, data citations, and data journals
- Explain Data Management Plan (DMP) requirements of funding agencies (NIH, NSF) and evaluate a DMP for adherence to funding agency requirements
- Understand and apply best practices for data visualization
Class Details
Date(s): February 14, 2022 - February 28, 2022
Platform: Moodle
CE Credits: 4.00
CE Categories: DSS Level 1
Class Experience Level: Beginner
This is a National NNLM class.
This class is full
Class Contacts
Host/Instructor: Nancy Shin
Technical Assistance: Rebecca Brown
Can't join us live?
Register anyway and you'll receive the recording after the event.