You can watch the video recording of the presentation.
"Open data … can help create $3 trillion a year"
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| reproducibility = f(data, metadata, code, …) | reusability = g(data, metadata, code, …) | open workflows are an invitation to collaborate, early and often |
| remote Doathon | November Data Science Meetup | on-site Doathon |
All images are linked to pages with metadata about them, including licensing information. The licensing is always compatible with the CC BY-SA 4.0 license.
- Slides of the other Research Highlights talks, including the report from the Biomedical Data Science hackathon.
- A video introduction to open research
- Open Science Q & A
- The event app.
- My number is 441.
- Twitter:
- hashtag: #Datapalooza2017, not #Datapalooza, but here are both
- I'm @EvoMRI
- Two recent papers on Wikidata as an open data hub for research-related information
This file is facilitating a presentation at the Datapalooza 2017 taking place at the University of Virginia on November 10, 2017. The presentation is part of the "Research Highlights" session at 10:30 am EST in the Newcomb Ball Room, and it will be given on the basis of this file here on GitHub. The session is being recorded, and the recordings will be made available afterwards.