We’ve been updating our list of publications on the DataSHIELD website, take a look and let us know if there are any that we’ve missed!
After many years of work(!), we have 2 new papers that made use of DataSHIELD that can be added to the list. They study the effects of fish and legume consumption on type 2 Diabetes across multiple cohorts. This involved fitting survival models at each cohort and meta-analysing the results:
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Hi Tom, great news & well done - happy to add your papers.
Best wishes, Elaine
Hi Tom
Fantastic and congratulations, that is excellent news for Intercomnect but also for DataSHIELD. Actual published use cases have been less plentiful than we would have liked (though starting to increase). I know that the only reason your work has progressed right through to publication is because of the consistent heavy lifting you’ve done at every stage: in implementing DS on your consortia, actively encouraging its use, developing and applying new functionality and now working with others to make implementation easier for new users. THANKS for all your work!!!
Cheers paul
There has also been another DataSHIELD related article from the InterConnect project which was recently published by one of my colleagues (Franziska Jannasch) that can be added to the DataSHIELD publication list.
Great, thanks @florian.schwarz for highlighting this paper that was run as part of InterConnect
Can someone suggest which of the following categories this best fits into?
Hi Alex,
this was a study with real data, so you can take your first option.
Dear all, Our manuscript “dsMTL - a computational framework for privacy-preserving, distributed multi-task machine learning” was finally published in Bioinformatics.
In the manuscript, we proposed a theoretical framework and efficient implementation of the federated multi-task learning package (dsMTL). And we showed the utility on the biomarker identification analysis,
Regards, Hank
Hello! I want to let you know of a new publication using datashield that I authored few months ago:
and the relative open-source github repository
Cheers 
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