Episode 42: Open Sourcing COVID-19 Data with Cindy Wang & Gil Yehuda

<center> <small>Sponsored By Linode</small> <a href="https://promo.linode.com/sustain/" target="_blank"><img src="https://files.fireside.fm/file/fireside-uploads/images/2/27729c65-f4a6-4496-8c86-820e7f13b285/DAsVtWUA.png" alt="Linode" width="150px" heigh="58px"></a> </center> Panelists Justin Dorfman | Eric Berry | Richard Littauer Guest Cindy Wang (https://www.linkedin.com/in/cindy-wang-365233/) Sr. Director, Product Management, Yahoo Knowledge Graph Verizon Media Gil Yehuda (https://twitter.com/gyehuda) Sr. Director of Open Source Verizon Media Show Notes Hello and welcome to Sustain! In this episode, we have special guests, Gil Yehuda and Cindy Wang, who both work for Verizon Media, which is a combination of a bunch of companies, predominantly Yahoo and AOL. Gil is Senior Director, Open Source Program and Cindy is Sr. Director, Product Management, Yahoo Knowledge Graph. We learn more about Gil and Cindy’s positions with Yahoo, the Yahoo Knowledge Graph COVID-19 project, data sets, complications with data, and Vespa (open source big data serving engine). [00:02:26] Gil explains to us what coverage he has and what he’s responsible for in his OSPO (Open Source Program Office). He also tells us how many repos and orgs he’s managing. [00:05:29] Cindy tells us all about the Yahoo Knowledge Graph COVID-19 project. Justin questions data sets and its inconsistencies and Cindy explains. [00:12:30] Eric asks Cindy if this resource has been established as an authority and if she’s heard feedback or others pointing to this as the authoritative data source? [00:14:00] Gil explains to us two levels of complications with data that he’s observing. [00:18:30 ] In regard to financial incentivisation, Eric wonders what has been their experience, or have they had any feedback from people who are trying to massage the numbers in their favor? [00:21:22 ] Richard wants to know if there is any code open source and can people look at that? How can people get involved and what was that process like besides the data aspects? Also,