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Wednesday, July 28 • 8:00am - 9:00am
W22- Research Reproducibility in Theory and Practice (biomedical focus)

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This will be a carpentry-like course; instructors will pull together the materials about rigor and reproducibility, important for the scientists. The goal is to come out of this with a set of materials.

The 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 a discussion of grant review guidelines 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, and best practice in research and data management, communication, and open sharing.

(All times Pacific)
Wednesday, July. 28
8-9AM: Session 1
5-6PM: REPEAT Session 1
Monday, Aug. 2
8-9AM: Session 2
5-6PM: REPEAT Session 2
Wednesday, Aug. 4
8-9AM: Session 3
5-6PM: REPEAT: Session 3

avatar for Anita Bandrowski

Anita Bandrowski

Researcher, SciCrunch Inc
Department of Neuroscience at UCSDLead of the RRID project, working in big data infrastructures. Curation at SPARC.science project (bio-electronic medicine for the peripheral nervous system to organ connections) and part of BICCN.org (Brain Cell Census Network).
avatar for Daniel Katz

Daniel Katz

N/A, University of Illinois
Dan is Chief Scientist at the National Center for Supercomputing Applications (NCSA) and Research Associate Professor in Computer Science, Electrical and Computer Engineering, and the School of Information Sciences (iSchool), at the University of Illinois Urbana-Champaign. In past... Read More →

Tracey Weissgerber

Group Leader, Berlin Institute of Health at Charité - Universitätsmedizin Berlin
Meta-researcher working to improve data visualization, statistical analysis, rigor, reproducibility and transparency in scientific publications

Wednesday July 28, 2021 8:00am - 9:00am PDT
W22 Classroom