This course will introduce librarians and information professionals to practical data skills and provide examples and ways to incorporate OpenRefine into library work. OpenRefine is designed for a broad audience that includes anyone who needs to clean, transform, and analyze large datasets. This class is for Librarians and information professionals, especially those who work with health/health-related information, who have limited or no experience with OpenRefine or other data manipulation tools.
This course supports the NLM/NIH strategic plan goal of building a data-driven workforce by increasing awareness of open data tools and their functions in order to address health information resources and data literacy.
- Apply transformations to strings, numbers, dates and Booleans to programmatically edit data and prepare data for analysis.
- Write expressions using General Refine Expression Language (GREL)
By registering for this class, you are agreeing to the NNLM Code of Conduct