Open Science, Open Data – SCC Chapter Meeting

To be held at the SCC Annual Meeting on 10/26/2024.

Explore freely available tools and resources to support open science and open data. The class will provide a brief introduction to data science topics, terminologies, and resources. Topics will include AI in healthcare, explaining what natural language processing is, discussing HIPAA privacy requirements, and defining personally identifiable information (PII).

This first part will provide a foundational understanding of open science data. Then move into the bulk of the class focusing on the NLM Scrubber and other examples of NLP models that can be used for clinical deidentification. In the third and final part, presenters will also introduce ways to share data through the NNLM data repository finder for NIH-funded researchers, the Data Pathways site for more ways you can continue learning, and the NLM Dataset Catalog for finding openly shared datasets.

This course is an approved elective for Level II of the Data Services Specialization.

Learning Outcomes

By the end of this course, you will be able to:

• Define artificial intelligence and natural language processing
• Describe how NLM Scrubber and other tools can deidentify fields in datasets
• Navigate the NLM Dataset search and NNLM Data Repository Finder interfaces
• Implement open data science tools into library instruction and outreach programs

Audience

Information professionals interested in tools that support research, open science, and or open data.

MLA CE: 2