
Morris Swertz
@mswertz
ID: 49793872
22-06-2009 22:41:08
179 Tweet
254 Followers
130 Following

Thanks for 5 years federating multicenter health cohort research consortia in #EU and #Canada ! Our legacy of #fair #catalogues, #harmonization and #federated #analysis continues LongITools ATHLETE Research Project EOSC4Cancer GDI_EUproject VAC4EU Innovative Exposomics at ColumbiaPublicHealth @CBCH_umcg Research UMCG

And that completes the excellent #DataShield annual conference 2023 in #groningen. Federated analysis is real, and the community is growing rapidly. Thanks to all speakers, delegates and organizers DataSHIELD Open Source Community EUCANConnect @UMCG MOLGENIS UMCG and until next year!




💡Deliverable 1.3 aims to provide FAIR cataloguing tools to map existing metadata and to support data harmonisation The authors are Morris Swertz, Gerieke Been, Joeri van der Velde, and Ype Zijlstra, project partners at UMCG Genetica Read the deliverable: emp.onl/JyDyN

We just published a new exciting paper on "Visualization and exploration of linked data using virtual reality". Great work Dr. Alexander Kellmann and MOLGENIS team UMCG Genetica! academic.oup.com/database/artic…

Whohoo we have lift-off 🙌. Shout-out to all partners. MOLGENIS we will extend the molgeniscatalogue.org with large medical cohorts and pilot innovative federated data access. Also includes Research UMCG UMCG Genetica @CBCH_umcg



MINERVA publications on metadata for discovery of observational studies and real-world evidence data are online, including MOLGENIS catalogue pilot onlinelibrary.wiley.com/doi/10.1002/pd… and lessons learned onlinelibrary.wiley.com/doi/10.1002/pd… #RWE. Thanks collaborators 🙌 at sigmaconsortium.eu

Another nice output from the EUCANConnect, EU Child Cohort Network and ATHLETE Research Project networks using MOLGENIS catalogue and Armadillo/DataSHIELD federated analysis DataSHIELD Open Source Community, thanks Tim 🙌bmcpublichealth.biomedcentral.com/articles/10.11…

New publication🥳: Armadillo, a lightweight server for federated analysis using #DataSHIELD. This privacy protective approach sends algorithms to data sources without need to put data centrally. Read all at: tinyurl.com/mtfhnhu8 #HealthResearch UMCG Genetica EUCANConnect






