Tom Plasterer

Great opportunity to join our team and advance oncology research with #fairdata omics! lnkd.in/eHWuUA9k

Working in data science gives me access to vast amounts of data with the potential to support a wide range of teams and programs here at AstraZeneca. Yet, far too often in BioPharma we are unable to attain maximum value for our res…lnkd.in/endcn73T lnkd.in/eJxN23Nw

This year’s AstraZeneca sponsored Healthcare and Life Sciences symposium (lnkd.in/ek5EpNFx) at the Knowledge Graph Conference once again featured interesting discussions across practitioners in industry and academia.   As a…lnkd.in/ec_7af7d lnkd.in/ekiErUsP

I’m looking forward to participating in a panel discussion on the use of Large Language Models and Knowledge Graphs at the Knowledge Graph Conference and AstraZeneca sponsored Healthcare and Life Sciences symposium on May 8th.   The hybrid co-located meet…lnkd.in/eMbUUE8v

HCLS @ KGC 2023, May 8th, 2023 lnkd.in/evWt-EM4

Great start in the Pharmaceutical R&D Informatics Track at #bioit20! Kudos to @C_Crowninshield and the team for all of their hard work with the new forum.

@keesvanbochove @KGConference @AstraZeneca Thanks much @keesvanbochove! Really good to see the convergence between the #FAIR data community and Enterprise Knowledge Graph Foundation--many overlapping principles: …6-4c13-b21c-fd5b0c8a91fb.filesusr.com/ugd/ffbc4e_99c…

An excellent talk by @TPlasterer @AstraZeneca on #FAIR data and knowledge graphs in the biopharmaceutical context at the closing of the #kgc2020 conference. What a great show, thanks so much for organizing this @KGConference! Judging by the burgeoning Slack, it will live on :-)

So good to meet so many knowledge graph siblings separated at birth, living in other industries at @KnowledgeGraph2. Great work @DeelyThomas & @lechatpito! Looking forward to the next one, #kgc2019

@juansequeda Great @PistoiaAlliance webinars on FAIR Data, and GO-FAIR from @GOFAIRofficial (vimeo.com/282650465) as well as a panel on FAIR data catalogs (vimeo.com/303790942) for those wanting go go further...

Tom Plasterer from AstraZeneca. Introducing FAIR principles: Findable (unique ids that are resolvable), Accessible (common access method), Interoperable (shared vocab & taxonomies), Reusable (provenance, license). AZ is building a federated Knowledge Graph. #kgc2019

...and Industry!

I mentioned Erik Schultes (@GOFAIRofficial) talk "Ready, Set, GO-FAIR" to many people at #TRICON as a great introduction to FAIR Data: It's can be found at vimeo.com/282650465?ref=…

@amatern, @tedslater and I are working with Pistoia Alliance, Inc. to host a FAIR (Findable, Accessible, Interoperable, Reusable) data workshop in Boston on December 3rd, ahead of the AI-World conference. Let us know if interested/able to help.

Great to see; knowledge graphs--especially FAIR data knowledge graphs--are foundational for successful AI campaigns.

One Of Biotech's Biggest Investors Says The Industry Must Be 'Unreasonable' wbur.fm/2JlMRg7 via @commonhealth

In advance of #BioIT17 I'm collecting the BioPharma community view on Data Stewardship: bit.ly/BiopharmaDataS…. Thanks for your help!

In San Francisco for the Molecular Medicine Tri-con Mon-Wed discussing FAIR data, Edge informatics: bit.ly/1sNuk0r #TRICON

Nice write-up of our CI project--much appreciated! twitter.com/bioitworld/sta…

Thanks much @hconstandt; great to see the buzz around @ontoforce at #BioIT16