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Hi, all. I help applied energy researchers with metadata strategy. I speak scientist (EECS PhD in nanofabrication), developer (mostly Python and web tech), and ontologist (RDF and friends). I’m a huge fan of FAIR and knowledge graphs. I do a podcast on Machine-Centric Science: https://podcast.polyneme.xyz # #
in reply to Donny Winston

Hi Donny, welcome to the Fediverse. It great to see folks here that I recognize from other online venues. We're both on the FAIRpoints slack channel too!
in reply to Danny (he/they)

thank you. ActivityPub/Mastadon seems more FAIR than Slack. 😀 Any recommendations of other FAIR champions in the Fediverse I can follow?

Danny (he/they) reshared this.

in reply to Donny Winston

Yes I agree. Hoping that DMA will be successful to meaningfully open up Slack and Discord APIs
https://matrix.org/blog/2022/03/30/technical-faq-on-the-digital-markets-act

I wouldn't call toots Findable though. IMO mastodon is about meeting people anyways. I don't think people would think of themselves as champions here. But I could be corrected.

But, plenty FAIR thoughts on this instance so you check the local timeline for that. I'm not explicitly trying to cultivate it in my timeline. Maybe @OpenScienceFeed has links of interest?
in reply to Danny (he/they)

Mastodon is not particularly findable. But past posts on FAIR can be easily found on Reddit.
https://reddit.com/r/Open_Science/search?q=fair&restrict_sr=on

Librarians, or GLAM folks in general, tend to be strong on FAIR stuff, especially the ones that are here. There are a few instances with GLAM communities, which could be a way to find people with similar interests. https://fediscience.org/server-list.html

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