2020-11-09, 06:30–07:00, Times in UTC
As the astronomical community moves into an era of big data, the paradigm of data processing is changing. We are transitioning from local end-to-end data processing (from taking or simulating observations to publishing the data) to retrieving pre-processed large datasets through database queries. The growing importance of such transactions are evident with current projects such as Tess, Gaia, SDSS, ZTF, HST, and Illustris and will become a necessity to fully utilize the next generation of astronomical surveys, telescopes, and simulations. Interaction with these databases and visualization of these complex datasets will be essential skills. However, these skills are not part of the standard astronomical curriculum and training, thus far, has been focused on tools specialized to individual projects. In this talk, I will discuss my work developing an open source Data Carpentry curriculum for Astronomy, that builds on the software skills taught in the Software Carpentry curriculum. I will highlight key aspects of this work that have made it a success thus far, including funding for lesson development, drawing on the existing infrastructure and personal resources of the Carpentries, building a core development team with experience in astronomy, education, and industry, and creating a broader network across the astronomical community that provided input at key points throughout the development process.