Data Science / Data Management

Making data Findable, Accessible, Interoperable and Reusable (FAIR) starts well before data collection. Designing studies with common data elements (CDEs) can enable data sharing and reuse, and librarians and other information professionals can assist researchers in the use of CDEs. Whether you are a research data librarian or assist researchers in finding sources, this one-hour, self-paced course from the National Library of Medicine can help you understand how you can support the use of common data elements (CDEs) in cr

This 1 credit-hour on-demand class introduces you to the basic concepts of medical terminologies (including what they are and why they are important), followed by a deep dive into RxNorm, an NLM-authored medical terminology specializing in drug information. Designed for health sciences librarians and other health information specialists seeking to serve more active roles in their health IT team and better support researchers. Expect to spend 1 hour learning through videos and exercises.

As librarians and researchers alike grapple with new technologies and methodologies for collecting, analyzing, and disseminating data, they must also grapple with corresponding ethical issues. In order to assist librarians with these concerns, this mini-course aims to provide 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 9-week class covers the basics of programming in Python for data science projects in health sciences. It includes a general look at data science and algorithmic concepts as well as specific topics in coding, namely the understanding and tools needed to clean data, create data visualizations, and share reproducible results. Learners will be asked to perform these tasks for a final project, which focuses on a provided dataset relating to health research.

This online class meets the NLM/NIH strategic plan goal of accelerating discovery and advancing health through data driven research in order to increase health information access and use.

The class is designed to provide information professionals, working in health sciences, with an introduction to research data management. The primary goal of this course is to improve your knowledge and skills in research data management and enable you to add or enhance research data management training and services at your institution.

Explore the different types of health data standards and how they support interoperability of health information systems. Learn about relevant National Library of Medicine (NLM) terminology products, tools, and services. This course will help you identify ways that you may already be using standards and consider ways that you can adopt or better implement health data standards into your systems, workflows, and practices.