Log in to the Data Access Environment.
If you require access to HES data or DAE you will need to register with DARS first.
Read about the latest DAE service announcements and outages.
News: HES 2019/20 M8 data is now available in DAE.
Providing access to data through our secure environment reduces the need for it to leave NHS Digital. What’s more, users can take their insights to the next level by using a range of built-in tools to interrogate, analyse and visualise data for a more complete picture of health and care.
DAE forms the access point of our improved Data Processing Services, a central system that will give us the power to process larger volumes of data – faster than we have ever done before.
We are using modern Data Processing Services to streamline and automate our existing ways of collecting, processing and accessing data.
DAE is the access element of these new services and is the way most users will experience:
These improvements mean we can provide customers with the information they need to make quicker decisions and actions, to improve health and care.
Watch our short video about DAE.
All data access is strictly managed by our Data Access Request Service (DARS). Over time, DAE will integrate with DARS to provide an improved customer experience and make requesting and receiving quicker and easier for customers.
If you need to start a new application, please contact the DARS team to discuss your requirements. Not all enquiries progress to the application stage as it may be that your request can be catered for using existing publications.
A Data Sharing Agreement (DSA) is required before users can access data using DAE. If you have an existing DSA in place, it will need to include permission to access data using DAE. Once approved, users are issued with a DAE username.
To discuss any aspect of DARS or an existing application call the DARS team on 0300 303 5678 or email firstname.lastname@example.org.
DAE hosts some of the world’s leading analytics tools; HUE and Jupyter and we are evaluating R studio Tableau as candidate data visualization and business intelligence tools to complement the suite.
Jupyter allows you to create and share documents that contain live code, equations, visualizations and narrative text. It can be used for data cleaning and transformation, numerical simulation, statistical modelling, data visualization, machine learning, and more. “Jupyter” is a loose acronym referring to the statistical programming languages, Julia, Python and R, but today, the notebook technology supports many languages.
R studio is a development environment for the R statistical language. It’s made by statisticians for statisticians to make your work more productive.
Tableau is an interactive data visualization tool, focused on business intelligence.
The suite of DAE tools is designed to support all existing reporting and publication requirements, whilst providing powerful options to deliver world class data visualisation and analysis for the future.
If you have any questions or require further support, please get in touch.
We are developing our data processing services to transform how we collect, process and use data to improve health and care.
Who hospital episode statistics (HES) are for, how they are used and how to apply for access. This includes the local authority HES Data Extract Service.
The Data Access Request Service (DARS) can offer clinicians, researchers and commissioners the data required to help improve NHS services. We handle applications, process data and provide access to specific sets of data when requests are approved.
A description of the data products we use to provide data extracts and other services.
Maintenance is planned on Data Access Environment (DAE) at the following dates and times. The system may be unavailable during these times.
Master Person Service (MPS) is an enhanced patient-matching algorithm that increases the number of linkable records where incomplete records have been submitted.
This video explains how to use HES data. It provides users with valuable context, leading to a better understanding of the data and how it's produced.