High quality data is essential to many activities and products at the USGS, including scientific research, data releases, and communication. Our CDI proposal, “Data quality control for everyone: a course and recipes for well-documented data workflows in R,” focuses on developing training materials for conducting data quality control using R scripts. This listening session will be gathering suggestions and ideas from potential users, allowing us to tailor the materials that we develop to the needs of users, including research scientists, data scientists, and data managers. We will begin the session with a presentation about the importance of data quality control and the goals of the project. Depending on attendance, we then will either split into small groups lead by members of the project team or open up the floor for discussion. While our CDI proposal project focuses on R, this session will aim to be more generally focused on data quality control to encourage participation by CDI members with experience in a variety of programming languages and data management approaches.
