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. Qualifies for MLA Data Services Specialization.
This is an online, asynchronous class.
Objectives
Upon completion of this class, students will be able to:
- 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 for a given dataset
- Discuss potential solutions for datasets with security/privacy issues (HIPAA) and develop 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 adherences to funding agency requirements
- Understand and apply best practices for data visualization