Research Data Management Librarian Academy (RDMLA)

The RDMLA curriculum is designed to address current and future education and learning needs of research data management practitioners. Each unit’s individual learning objectives work cohesively to support the below, broad course learning objectives:

Upon completing all eleven units of the RDMLA, you will be able to: 

• Summarize research workflow and specify information professionals’ role in each stage of the data life cycle
• Understand the value and approaches to navigating research culture and partnering with members of the research ecosystem
• Identify institutional research data management stakeholders and describe strategies for advocating the library’s role in RDM
• Design action plans to launch and manage data services in libraries
• Develop RDM project management plans and evaluate RDM processes, outcomes, and impact/value
• Describe the steps of data analysis and visualization and develop skills in using relevant tools such as R and Tableau
• Develop skills in using appropriately RDM programming tools such as Python and Jupyter Notebook to meet data needs
• Gain familiarity with a variety of platform tools for data sharing, storage, discovery, reuse, and reproducibility

Credits: 16.5