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

We have started planning the release of DataSHIELD v6.1. Now would be a good time for feedback on what you would like to see in it. Please contact regarding this.

Recent Events: 

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: