Presenter: Louise Hadden
There are many epidemiological and surveillance studies ongoing because of the COVID-19 pandemic, often embodying the definition of “big data” with thousands of participants, variables and lab samples. Researchers use data from many different streams in a given study, including REDCap software, electronic medical records (EMR), chart abstraction, laboratory records and more. Different contractors can be managing different aspects of the same project, the data is changing minute to minute, and the deliveries are required at a fast and furious pace. Wrangling all the different data sources requires robust data management routines, and SAS can help with tools to obtain data via APIs and PROC HTTP, metadata resources and programming techniques. This presentation will use real-world examples to outline best practices for managing multiple aspects of large scale CDC surveillance projects using SAS.
