Course Chairs: Anita Bandrowski, PhD, RRID Project Lead
Instructors: Anita Bandrowski, PhD, RRID Project Lead;
Maryann Martone, Editor-in-Chief Brain and Behavior;
Daniel S. Katz, National Center for Supercomputing Applications (NCSA), University of Illinois Urbana-Champaign; Lenny Teytelman, CEO Protocols.io
This course will focus on issues of reproducibility in research from a broad perspective. It will include an introduction to the differing types of reproducibility and the philosophy that underpins them. The course will look at reproducibility in several contexts, including collecting and communication in experimental research, providing a robust record of computational research, and the limitations and debates around these approaches. We will introduce several tools and approaches to support reproducible research practice, including the RRID portal, Zenodo, Jupyter Notebooks, the Open Science Framework, and best practice in research and data management, communication, and open sharing.
There will be five half-day sessions offering a mix of lecture and practical work, particularly information gathering and analysis. The emphasis will be on providing frameworks within which information can be gathered and understood rather than on “fact teaching.”
