Description
Open, reproducible, and reliable research is critical for the scientific process. Although sharing data, code, documentation, and workflows associated with papers encourages scholars to turn a more careful eye to their work, many challenges remain, which will prevent other researchers from validating and building on prior work. This webinar will present relevant projects, approaches, and practices that advance research sharing for reproducibility and reuse. The overarching goal is to facilitate an exchange of ideas while discussing the current standards, challenges, and opportunities.
The primary audience for this webinar is data scientists, researchers, data curators, managers of digital libraries and repositories. However, anyone interested in reusable research or computational reproducibility is welcome to join.
Registration
This is a free event, but registration is required.
- Please click here to register for the webinar.
- Please click here to register for the Virtual Cocktail Party after the webinar.
Program
The webinar will take place on Wednesday, February 10, 2021 on Zoom.
All times Eastern Standard Time (EST) (UTC−05:00)
| Session 1 | |
|---|---|
| 13:00 - 13:10 | Welcome |
| 13:10 - 13:50 |
Keynote: Computational Reproducibility vs. Transparency: Is It FAIR Enough? Bertram Ludäscher, School of Information Sciences, University of Illinois at Urbana-Champaign |
| 13:50 - 14:20 |
Supporting Computational Reproducibility: Updates on CoRe2 Development and AJPS Verification Policy Implementation Mandy Gooch, Odum Institute, University of North Carolina at Chapel Hill |
| 14:20 - 14:50 |
Open and Reproducible Research Services in LHC Particle Physics Diego R. Rodriguez, European Organization for Nuclear Research (CERN) |
| 14:50 - 15:00 | Coffee Break |
| Session 2 | |
| 15:00 - 15:30 |
Keep Your Code Working: Principles From Google Titus Winters, Google |
| 15:30 - 15:55 |
Graduate Students’ Attitudes Toward Data Sharing and Reproducibility Katie Mika, Harvard Library & the Institute for Quantitative Social Science, Harvard University |
| 15:55 - 16:20 |
HPC-Driven Computational Reproducibility: A Use Case Study of Einstein Toolkit in Numerical Relativity and Astrophysics Qian Zhang, University of Waterloo & Digital Research Infrastructure Organization (NDRIO) |
| 16:20 - 16:45 |
Repository Approaches to Improving Quality of Shared Data and Code Ana Trisovic, Institute for Quantitative Social Science, Harvard University |
| 16:45 - 17:00 | Closing Remarks and Open Discussion |
| 17:00 - 19:00 | Virtual Cocktail Party |
Platforms
The webinar will be hosted on Zoom. If you don’t already have it installed, you can download it here. Check out our custom Zoom backgrounds: default, inverted colors, sponged, painted, pink, crosshatch.
The Virtual Cocktail Party will be hosted in Gather Town, which will work directly from a web browser.
Contact
For any questions, please contact Ana Trisovic or Qian Zhang.
Acknowledgements
This event is made possible with the support of the Council on Library and Information Resources (CLIR) and with the support of the Alfred P. Sloan Foundation.
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