# Any new DataSHIELD papers?
**URL:** https://datashield.discourse.group/t/any-new-datashield-papers/170
**Category:** Old news
**Tags:** publications, papers
**Created:** [29 January 2020 16:52 UTC](https://datashield.discourse.group/t/any-new-datashield-papers/170 "2020-01-29T16:52:38Z")
**Posts on this page:** 12
**Page:** 1
### Author:  [@olly](https://datashield.discourse.group/u/olly)
#### Post date: [29 January 2020 16:52 UTC](https://datashield.discourse.group/t/any-new-datashield-papers/170/1 "2020-01-29T16:52:38Z")
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!
[http://datashield.ac.uk/research/publications/](http://datashield.ac.uk/research/publications/)
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### Author:  [@becca.wilson](https://datashield.discourse.group/u/becca.wilson)
#### Post date: [2 February 2020 12:51 UTC](https://datashield.discourse.group/t/any-new-datashield-papers/170/2 "2020-02-02T12:51:13Z")
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### Author:  [@tombishop](https://datashield.discourse.group/u/tombishop)
#### Post date: [8 April 2021 10:29 UTC](https://datashield.discourse.group/t/any-new-datashield-papers/170/3 "2021-04-08T10:29:26Z")
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:
> **[Associations of Total Legume, Pulse, and Soy Consumption with Incident Type 2...](https://academic.oup.com/jn/advance-article/doi/10.1093/jn/nxaa447/6165047)**
>
> ABSTRACTBackground. The consumption of legumes is promoted as part of a healthy diet in many countries but associations of total and types of legume consumption
> **[Heterogeneity of Associations between Total and Types of Fish Intake and the...](https://www.mdpi.com/2072-6643/13/4/1223)**
>
> The association between fish consumption and new-onset type 2 diabetes is inconsistent and differs according to geographical location. We examined the association between the total and types of fish consumption and type 2 diabetes using individual...
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### Author:  [@Elaine.Smith](https://datashield.discourse.group/u/Elaine.Smith)
#### Post date: [8 April 2021 10:45 UTC](https://datashield.discourse.group/t/any-new-datashield-papers/170/4 "2021-04-08T10:45:34Z")
Hi Tom, great news & well done - happy to add your papers.
Best wishes, Elaine
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### Author:  [@paul.genepi](https://datashield.discourse.group/u/paul.genepi)
#### Post date: [8 April 2021 10:56 UTC](https://datashield.discourse.group/t/any-new-datashield-papers/170/5 "2021-04-08T10:56:00Z")
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
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### Author:  [@florian.schwarz](https://datashield.discourse.group/u/florian.schwarz)
#### Post date: [19 July 2022 12:00 UTC](https://datashield.discourse.group/t/any-new-datashield-papers/170/6 "2022-07-19T12:00:27Z")
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.
> **[Associations between exploratory dietary patterns and incident type 2...](https://link.springer.com/article/10.1007/s00394-022-02909-9)**
>
> Purpose In several studies, exploratory dietary patterns (DP), derived by principal component analysis, were inversely or positively associated with incident type 2 diabetes (T2D). However, findings remained study-specific, inconsistent and rarely...
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### Author:  [@tombishop](https://datashield.discourse.group/u/tombishop)
#### Post date: [19 July 2022 12:12 UTC](https://datashield.discourse.group/t/any-new-datashield-papers/170/7 "2022-07-19T12:12:02Z")
😀 Great, thanks @florian.schwarz for highlighting this paper that was run as part of InterConnect
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### Author:  [@alexwesterberg](https://datashield.discourse.group/u/alexwesterberg)
#### Post date: [19 July 2022 12:26 UTC](https://datashield.discourse.group/t/any-new-datashield-papers/170/8 "2022-07-19T12:26:40Z")
Can someone suggest which of the following categories this best fits into?
- **[Application to real data](https://www.datashield.org/about/publications#applications)**
- **[Informatics: proof of principle and formal implementation](https://datashield.org/about/publications#informatics)**
- **[Biostatistics: proof of principle and formal implementation](https://datashield.org/about/publications#biostatistics)**
- **[Social and ethico-legal issues](https://datashield.org/about/publications#social-ethico-legal)**
- **[DataSHIELD in a broader strategic context](https://datashield.org/about/publications#strategic-context)**
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### Author:  [@florian.schwarz](https://datashield.discourse.group/u/florian.schwarz)
#### Post date: [19 July 2022 12:32 UTC](https://datashield.discourse.group/t/any-new-datashield-papers/170/9 "2022-07-19T12:32:10Z")
Hi Alex,
this was a study with real data, so you can take your first option.
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### Author:  [@HankCao](https://datashield.discourse.group/u/HankCao)
#### Post date: [9 September 2022 10:07 UTC](https://datashield.discourse.group/t/any-new-datashield-papers/170/10 "2022-09-09T10:07:29Z")
> [@olly](#):
>
> DataSHIELD
Dear all, Our manuscript “dsMTL - a computational framework for privacy-preserving, distributed multi-task machine learning” was finally published in Bioinformatics.
> **[dsMTL: a computational framework for privacy-preserving, distributed...](https://academic.oup.com/bioinformatics/article/38/21/4919/6694043?login=true)**
>
> AbstractMotivation. In multi-cohort machine learning studies, it is critical to differentiate between effects that are reproducible across cohorts and those tha
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
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### Author:  [@becca.wilson](https://datashield.discourse.group/u/becca.wilson)
#### Post date: [13 October 2022 10:29 UTC](https://datashield.discourse.group/t/any-new-datashield-papers/170/11 "2022-10-13T10:29:11Z")
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### Author:  [@ciropom](https://datashield.discourse.group/u/ciropom)
#### Post date: [6 March 2024 07:30 UTC](https://datashield.discourse.group/t/any-new-datashield-papers/170/12 "2024-03-06T07:30:23Z")
Hello! I want to let you know of a new publication using datashield that I authored few months ago:
> **[Frontiers | Strengths and limitations of non-disclosive data analysis: a...](https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2024.1270387/full)**
>
> Preserving data privacy is an important concern in the research use of patient data. The DataSHIELD suite enables privacy-aware advanced statistical analy...
and the relative open-source github repository
> **[GitHub - cosbi-research/VisualSHIELD: A suite of tools for non-disclosive...](https://github.com/cosbi-research/VisualSHIELD/)**
>
> A suite of tools for non-disclosive analysis of biomedical data on federated databases that aggregates and extends the functionalities of the popular DataSHIELD R package - cosbi-research/VisualSHIELD
Cheers 🙂