A software solution

DataSHIELD is an infrastructure and series of R packages that enables the remote and non-disclosive analysis of sensitive research data. Users are not required to have prior knowledge of R.

‌ Updated with text.  

Latest News

DataSHIELD LIVE - join Tim Cadman and the DataSHIELD team every Tuesday morning between 10.00-11.00am (GMT) for an informal Q&A session Zoom link here 


DataSHIELD progress in 2020

 DataSHIELD progress in 2020 includes new International Advisory Board. Read more about our other activities in 2020 at our news page

Recent Events:

DataSHIELD workshops in January 2021

  • Introduction to DataSHIELD (beginners’ workshop during Athlete GA)
  • Monday 25 January, 14.30 – 16.30 CET
  • Resources in DataSHIELD (during Athlete GA)
  • Tuesday 26 January, 14.30 – 16.30 CET
  • Omics analysis in DataSHIELD (during Athlete GA)
  • Wednesday 27 January, 14.30-16.30 CET

Please see the events section of the website for more details.

DataSHIELD workshops in December 2020

Introduction to RWednesday 2 December

- Introduction to DataSHIELD (= beginners’ interactive workshop), Wednesday 9 December

Release of v6.1

DataSHIELD v6.1 released at the beginning of November. See what we've added at our wiki page for v6.1.0 release notes.

e-Rum 2020:

Patricia Ryser-Welch lead a 3 hour workshop at the biennial conference that brings the R User Community of Europe together. The subject matter, Non-disclosive federated analysis in R, is at the heart of what DataSHIELD brings to researchers. Link to e-Rum website description, and to the Github where the workshop materials are found.

DataSHIELD workshops June 2020:

Two workshops took place to cater for both beginner and advanced needs. More workshops will become available in the future subject to demand!

The video recordings of the workshops are available under the events area of the website.

DataSHIELD twitter feed

See our other News posts.

What is DataSHIELD?

DataSHIELD is open-source software for the remote/federated non-disclosive analysis of biomedical, healthcare and social-science data. Crucially, the data remain secure behind the firewalls on the system where they usually reside, and under the complete control of their primary custodian(s).

Further information can be found in our about section.

How to get help using DataSHIELD

There are a variety of resources provided:

Direct questions can be posted on the forums. Areas are divided into Beginner, Analyst, Developer and Statistician categories.

Queries about bespoke user support and also user training classes can be made to our email address,

Many subjects are covered in detail on the wiki- articles are available in both step by step instruction and general article format.


The Research section of the website contains details about the DataSHIELD research project including: