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Data science: bring the researchers to the data

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by Cancer Research UK | Analysis

24 February 2026

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Big data

We are awash with data – but how do cancer researchers make the most of it at the scale and pace needed whilst also keeping the trust of patients? Leslie Glass and Sanika Raut take us through trusted research environments…   

This entry is part 2 of 2 in the series Data science
Series Navigation<< Data science – are we chatting away scientific integrity?

Cancer research has never been more data rich. From whole-slide tumour images and genomic sequences to linked clinical trial records and population registries, the datasets that could accelerate breakthroughs are growing in volume, complexity, and sensitivity.

But a fundamental tension remains: how do we give researchers meaningful access to data while honouring the trust patients place in us when they consent to their information being used? The answer, increasingly, is Trusted Research Environments.

Approved researchers can access and analyse sensitive datasets without the data ever leaving the controlled setting.

What is a TRE?

A trusted research environment (TRE) – sometimes called a safe haven or secure data environment – is a highly secure computing space where approved researchers can access and analyse sensitive datasets without the data ever leaving the controlled setting. Think of it as a secure reference library: the data and the analytical tools are all in one place, and you bring your questions to them rather than taking the books home.

TREs are built on the “Five Safes” framework: safe people (trained and authorised researchers), safe projects (work approved as being in the public interest), safe settings (the technical infrastructure preventing unauthorised access), safe data (de-identified and appropriately managed), and safe outputs (results screened to ensure nothing disclosive leaves the environment). Together, these layers provide robust governance that protects patient privacy while enabling the kind of large-scale, linked data analysis that modern cancer research demands.

How does a TRE benefit researchers?

For those of us who work with patient data, TREs address several persistent pain points. First, they reduce the administrative overhead and ethical dilemmas of data access. Rather than navigating the challenges of data-sharing agreements to transfer files between multiple institutions, a TRE provides a single location facilitating dataset linkage, governed by consistent access processes.

Multiple research teams can work with the same curated datasets in a shared environment, reducing duplication and enabling the kind of cross-disciplinary work that accelerates discovery.

Second, they remove the technical burden of building and maintaining your own secure infrastructure. Establishing an environment that meets NHS Data Security and Protection Toolkit standards, ISO 27001 certification, and information governance requirements is a substantial undertaking – one that diverts time and funding away from the research itself.

Third, and critically for data-intensive cancer research, TREs can offer high-performance computing, specialist software, and collaborative workspaces. Whether you are running deep-learning models on whole-slide histopathology images, performing multi-omic integration, or applying spatial transcriptomics analysis tools, a well-provisioned TRE provides the computational resources you need in a setting where your analysis can be reproduced and audited.

Finally, TREs foster collaboration. Multiple research teams can work with the same curated datasets in a shared environment, reducing duplication and enabling the kind of cross-disciplinary work that accelerates discovery.

What is CRUK’s Trusted Research Programme doing in this space?

Cancer Research UK’s Trusted Research Programme is a core component of CRUK’s broader Research Data Strategy, designed to maximise the safe and effective collection and reuse of cancer-related data. At its heart is a TRE that already supports a diverse portfolio of research projects led by teams at universities across the UK, drawing on data originating from multiple regions of Wales, England, and Scotland – securely integrated into our trusted research environment.

The environment handles the heterogeneous data types that characterise contemporary cancer research: whole-slide image data (including .ndpi, .dicom, and .qptiff formats), omics data, pre-clinical data, clinical trial data, and population registry data. It is compatible with analytical and imaging tools widely used by the community, including QuPath, PhenoChart, MapLap, and Python-based pipelines. Research projects within the TRE span a range of cancer types — from mesothelioma to people treated for cancers as children or young adults in the UK — with an overarching focus on treatment and prevention.

What can the Trusted Research Programme provide to you?

Beyond the TRE itself, CRUK’s Trusted Research Programme offers a broader suite of services. These include technical advice and consultancy on NHS and other data access processes, health research authority compliance, and accredited information governance training. If you are considering a CRUK grant application for data-driven research, the team can help shape proposals, scope TRE requirements, and evaluate costs.

Our work sits within a broader national landscape, including organisations such as DARE UK (Data and Analytics Research Environments UK) and the Safe Data Access Professionals network, developing shared expertise and standards across the sector. Together, we are making it possible for cancer researchers to work with sensitive data at the scale and pace the field demands – securely, efficiently, and with the confidence of patients and the public.

The principle is simple: bring the researchers to the data, not the data to the researchers. The future of cancer data research is already being built inside TREs.

Author

Dr Leslie Glass

Leslie is Data Liaison Manager for the Cancer Intelligence team of Cancer Research UK

Author

Sanika Raut

Sanika is Research Data Officer for the Cancer Intelligence team of Cancer Research UK

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