How to access : What you will need
The skills you will need and steps you should follow to become an accredited researcher.
What accreditation means
To access data in the Integrated Data Service (IDS), you must be an accredited researcher.
Being accredited means that you can work with secure data in a safe setting. It allows you to carry out analysis and produce outputs in a secure research environment. This is also known as a Trusted Research Environment (TRE).
Become an accredited researcher
To become an accredited researcher, you must have either:
- an undergraduate degree, including a significant proportion of maths or statistics
- at least three years quantitative research experience
- read and agree to the criteria outlined in
- commit to protect and maintain the confidentiality of data
As part of your application you will need to complete our safe researcher training and pass a final assessment. You will then receive an email from the RAS team confirming your accredited researcher status.
Currently we estimate that the researcher accreditation process may take three to five weeks.
Register with the Research Accreditation Service (RAS)
On the login page, select “Don’t have an account? Register here” and you will be able to create an account. Enter your:
- work address
- date of birth
- email address
- phone number
Continue to the summary page and agree to the terms and conditions.
Select “Create account”. Your account will be created but you will be logged out.
You will receive an email from firstname.lastname@example.org with a link to verify your email address and activate your account.
Skills you will need
To work with data in the Integrated Data Service (IDS) you will need to use open-source programming languages.
IDS uses BigQuery to run Structured Query Language (SQL) and Vertex AI Notebooks that run Python and R. These notebooks are based on open-source Jupyter notebooks.
You should be comfortable with using these to:
- import and export data
- manipulate data
- perform analysis using code
- create basic data visualisations
If you are new to using Python and R, the following resources are available:
The service also uses GitHub for version control and to enable better collaboration.
As the IDS evolves and responds to the needs of our users, we may introduce new tools to help analysts and researchers work with their data efficiently.