PhD noticeboard
This noticeboard is intended to support PhD students using administrative data. Here you will find information about relevant upcoming events, training resources, and placement opportunities. Information that is specific to the 2023 ADR UK PhD cohort is clearly labelled and flagged with an icon.
Check back with this page regularly for information and updates. We’d love to hear your feedback using the ‘help us improve’ button at the end of the page. You can also email your questions directly to us at ADRStudentships@esrc.ukri.org.
Update on the transition to the Integrated Data Service
The Office for National Statistics (ONS) has published an update about the future of the Secure Research Service (SRS) and the Integrated Data Service (IDS).
The ONS will continue to operate the SRS indefinitely providing secure access to data for accredited researchers in partnership with ADR UK.
Networking and events
ADR UK is committed to supporting researchers to unlock the potential of administrative data. We encourage all students to get involved in any events, training or opportunities relevant to your areas of interest. You can find a list of opportunities on our events page.
ADR UK PhD studentship events
ADR UK is delighted to be supporting a cohort of 22 PhD students using our flagship datasets. The following events have been designed to support this cohort of students:Past events
- 16-17 January 2025: PhD Gathering at Cardiff University (view slides)
- 8 October 2024: Mini induction for ADR UK-funded students transitioning to their PhD studies this autumn.
- 6 June 2024: Online drop-in session for PhD students using administrative data.
- 10-11 January 2024: In-person induction for the full cohort at University of Cambridge.
- 17 October 2023: Student induction (online).
Resources & training
Administrative data research can be complex (though rewarding)! Luckily there is an ever-growing range of resources and training available to you.
The section Skills and resources to use administrative data on the ADR UK Learning Hub supports individuals to build confidence in using administrative data for research. It breaks more complex aspects down into engaging modules like bias, code, and public engagement.
There is also a range of other places to find the support you need:
Getting started with admin data
In this section of the Learning Hub, you can find descriptions of introductory training and resources.
ADR UK-supported courses
Courses and events supported by ADR UK are advertised on the events page.
ADR UK Flagship Datasets
Resources specific to ADR UK Flagship Datasets can be found on the relevant flagship dataset page.
PhD data access handbook
Check out the data access handbook for concise information on applying for data through different trusted research environments.
Dataset access checklists
For step-by-step guides on how to access our flagship datasets see the dataset-specific access checklists.
Undertaking a high-quality placement in academia, policy, business or civil society organisations will give you the opportunity to develop transferable skills and apply your research skills in different contexts.
Our internships and placements page contains examples of PhD placement opportunities you may consider as part of your PhD programme. Please contact the organisations listed directly with any questions you may have.
All ADR UK-funded PhD students have funding provided for a maximum three-month placement. Further guidance on placements can be found in the ESRC Postgraduate Training and Development Guidelines 2022.
ADR UK wants to ensure you have the support you need throughout your studentship. We have a strong relationship with a number of data owners and data processors and are keen to realise our mission of transforming the way researchers access the UK’s wealth of public sector data.
For information on who to contact for enquiries related to data owners, trusted research environments, and Doctoral Training Partnerships, refer to the PhD Reference Contact Sheet.
Issues reporting form
We’d like to hear from you! If you have encountered any issues as part of your ADR UK-funded PhD project, please use this form to notify us: ADR UK Research Fellowships and PhD studentships - Issues Reporting Form. We will log the issue and contact you with any relevant advice.
Keep track of quarterly reporting
As an ADR UK-funded PhD student, we will be in touch to arrange a virtual check-in within the first six months of your studentship. This meeting should include your primary supervisor.
Throughout your studentship, you are also required to submit progress check-in reports on a quarterly basis using the ADR UK reporting template. These reports should be reviewed and signed off by your primary supervisor. Electronic signatures are acceptable.
Submit your reports to ADRStudentships@esrc.ukri.org with the subject line:
ADR UK PHD STUDENTSHIPS QUARTERLY CHECKIN - DTP name - Student surname - Reporting Period.
Don’t forget to copy in your supervisor and DTP Director.
Important dates in 2024:
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31 January 2024: QHR #1 due
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30 April 2024: QHR #2 due
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31 July 2024: QHR #3 due
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31 October 2024: QHR #4 due
Important dates in 2025:
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31 January 2025: QHR #5 due
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30 April 2025: QHR #6 due
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31 July 2025: QHR #7 due
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31 October 2025: QHR #8 due
Confirm you have data access
Within the first year of your PhD, please submit confirmation that you have been given permission to use all necessary datasets for your project. This can be from the UK Statistics Authority Research Accreditation Panel, or similar if accessing data via the ADR UK trusted research environments in Wales, Scotland or Northern Ireland.
Please e-mail your confirmed data access status to ADRStudentships@esrc.ukri.org with the subject line:
ADR UK PHD STUDENTSHIPS DATA APPROVALS - DTP name - Student surname
If for whatever reason, you are not able to confirm proof of your access to all the required datasets within the first year of your programme, please provide as much information as possible. This should include details of approvals that are still pending, implications on the delivery and timings of the projects and potential contingency plans.
Deposit your code in the secure environment
Don’t forget an essential component of your ADR UK funding is that any statistical code and enhanced user documentation or guides generated by your work must be made available through one of the ADR UK-funded trusted research environments:
Know your supervisory team
In accordance with the Quality Assurance Agency Code of Practice on Postgraduate Research Programmes, all students must have a supervisory team – which means that single supervisor arrangements are not permissible. If you don’t know who the members of your supervisory team are, please contact your primary supervisor.
Also, in order to support you, at least one member of your supervisory team must be an accredited researcher. Get in touch if you or your supervisor(s) have any questions about this process.
Finally, please let us know ASAP if there is ever a change to your supervisory team.
Acknowledge ADR UK as your funder
As an ADR UK-funded student, you and your supervisory teams are expected to:
- display the ESRC and ADR UK logos on all publications and materials (including reports, presentations, websites, and stationery).
- acknowledge ADR UK’s support in any publication, presentation, and media coverage. The recommended acknowledgement is:
This work [was/is] supported by ADR UK (Administrative Data Research UK), an Economic and Social Research Council investment (part of UK Research and Innovation).
- provide ADR UK with advance notice and sight of all public communications and press releases and to notify ADR UK of publicity or coverage in the media.
- use an appropriate dataset citation in all published research, referencing the relevant digital object identifier (DOI) where one exists. The recommended citation format is:
[Data controller], released [Release date format XX Month 20XX], ONS website, dataset, dataset name [dataset landing page URL link embedded]. DOI: [DOI]
Refer to the ADR UK brand toolkit for further guidance on using the ADR UK brand in your outputs.
