Data Services On-Demand is a modular learning experience that works for you. Each module is self-contained and offers MLA CE hours as well as credit toward Data Services Specialization (DSS). 

The modules are: 

  • Research Data Management
  • Research Data Sharing
  • Supporting Open Science: Tools and Trends
  • Data Ethics 

While each module provides an in-depth overview of these topics, completion of the Data Services On-Demand (DSOD) in its entirety provides foundational knowledge for beginning as a data librarian. These 4 modules also meet the core curriculum requirements for the MLA DSS Level 1 certification.

Expect to spend about 4 hours working through each module.  

Research Data Management On-Demand (2024)

Learn about data management in this introductory, four-hour, on-demand course, including the best practices for librarians supporting researchers and elements most important to document, store, and preserve data. You will also learn about the field in general and why RDM is important. The module also covers file naming conventions, data documentation, and active data storage and management strategies during the research process.

Click here to register and receive enrollment key to enroll in the course.  

Research Data Sharing On-Demand (2024)

This 4-hour course provides an overview of the data sharing process and best practices for sharing research data. In this module, you will learn about federal policies driving research sharing requirements and the steps necessary to make research data reusable. You will navigate online repositories and identify desirable characters of repositories. You will also learn about the research data curation process, including identifying different types of research data and recommended resources for de-identifying data.

Click here to register and receive enrollment key to enroll in the course.  

Supporting Open Science: Tools and Trends On-Demand (2024)

Learn about open science and tools to practice reusability and reproducibility in research. In this introductory on demand course, you will explore tools and resources from the National Library of Medicine (NLM) for open science.

Click here to register and receive enrollment key to enroll in the course.

Data Ethics On-Demand (2024)

This 4-hour class provides an intellectual grounding for the recognition, analysis, and resolution of ethical issues, including but not limited to ethical problems in data visualization, data sharing, and data collection. This class focuses on issues that health sciences librarians may face, particularly regarding human subjects and patient data, but is generalizable to the larger library community.

Click here to register and receive enrollment key to enroll in the course.