Reproducible Data Research: It’s Complicated
Using and re-using data created by others has become an essential part of contemporary scholarly work. From climate data published by government agencies to Tweets collected using Open Source software, scholars from a wide variety of disciplines base their work on datasets that have opaque origins and uncertain futures. Conducting research that is transparent, accessible, and reproducible is in this environment is challenging. Join Ben Best (EcoQuants) and Laila Sakr (Film & Media Studies), two of UCSB’s leading data scholars, in the Library’s Interdisciplinary Research Collaboratory for short presentations and a discussion of how to expand the reach of digital scholarship in a data-enabled world.
Ben Best is an environmental data scientist with a background in marine spatial ecology.
Laila Sakr (a.k.a. VJ Um Amel) is a scholar and artist who uses digital logic and technique to map global participation in virtual worlds and networked publics.