Available Until 6/23/2023

Data Literacy for the Busy Librarian-NNLM*

For more information on this course, or to schedule, please contact the NNLM Training Office at nto@utah.edu.

"Data Literacy for the Busy Librarian” is a 2-week introductory Moodle course on the fundamentals of data literacy. In the time of “Big Data” being data literate is becoming more of an essential skill to librarians from all kinds of disciplines, but specifically in health and biomedicine. As the research landscape becomes increasingly data-driven, librarians play a key role in developing and maintaining data standards and research best practices. But where do you begin?

In this 2-week Moodle course, we will look at several 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 finally knowing and applying best practices in data visualization.

Course URL: https://nnlm.gov/training/class-catalog/data-literacy-busy-librarian 

Learning Objectives:

1. Describe how the data life cycle fits into the larger research lifecycle

2. Recommend file naming conventions and file formats based on best practices

3. Apply selected metadata standards to a given dataset in order to facilitate better sharing of data and understands the rationale for metadata

4. Identify appropriate data repositories for a given dataset

5. 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

6. Articulate FAIR principles and explain data sharing, data citations, and data journals

7. Explain Data Management Plan (DMP) requirements of funding agencies (NIH, NSF) and evaluate a DMP for adherences to funding agency requirements

8. Understand and apply best practices for data visualization


The course is two weeks long.

Week 1 (2 hours of work anticipated):

video lecture


Week 2 (2 hours of work anticipated):

Short videos

written assignment

MLA CE Credits: 4