Results 11 to 20 of about 2,008,551 (307)

Trusted Research Environments: Analysis of Characteristics and Data Availability

International Journal of Digital Curation
Trusted Research Environments (TREs) enable the analysis of sensitive data under strict security assertions that protect the data with technical, organizational, and legal measures from (accidentally) being leaked outside the facility.
Martin Weise, Andreas Rauber
doaj   +3 more sources

GRAIMatter: Guidelines and Resources for AI Model Access from TrusTEd Research environments (GRAIMatter).

International Journal of Population Data Science, 2022
Objectives To assess a range of tools and methods to support Trusted Research Environments (TREs) to assess output from AI methods for potentially identifiable information, investigate the legal and ethical implications and controls, and produce a set of
Emily Jefferson, Christian Cole, Alba Crespi Boixader, Simon Rogers, Maeve Malone , Felix Ritchie, Jim Smith, Francesco Tava, Angela Daly, Jillian Beggs, Antony Chuter   +10 more
doaj   +2 more sources

Local Data Spaces: Leveraging trusted research environments for secure location-based policy research in the age of coronavirus disease-2019

Data & Policy, 2023
This work explores the use of Trusted Research Environments for the secure analysis of sensitive, record-level data on local coronavirus disease-2019 (COVID-19) inequalities and economic vulnerabilities. The Local Data Spaces (LDS) project was a targeted
Jacob L. Macdonald, Mark A. Green, Maurizio Gibin, Simon Leech, Alex Singleton, Paul Longley   +5 more
doaj   +2 more sources

Trusted Research Environments (TRE) Green Paper

, 2020
Project Aligning approach to Trusted Research Environments Share this page Data Safe Havens are an essential way of managing risk of unauthorised re-identification of individuals from de-identified data. This risk heightens with increased data linkage across a wider range of data sets.
Hubbard, Tim, Reilly, Gerry, Varma, Susheel, Seymour, David   +3 more
openaire   +2 more sources

Harmonising electronic health records for reproducible research: challenges, solutions and recommendations from a UK-wide COVID-19 research collaboration

BMC Medical Informatics and Decision Making, 2023
Background The CVD-COVID-UK consortium was formed to understand the relationship between COVID-19 and cardiovascular diseases through analyses of harmonised electronic health records (EHRs) across the four UK nations.
Hoda Abbasizanjani, Fatemeh Torabi, Stuart Bedston, Thomas Bolton, Gareth Davies, Spiros Denaxas, Rowena Griffiths, Laura Herbert, Sam Hollings, Spencer Keene, Kamlesh Khunti, Emily Lowthian, Jane Lyons, Mehrdad A. Mizani, John Nolan, Cathie Sudlow, Venexia Walker, William Whiteley, Angela Wood, Ashley Akbari, CVD-COVID-UK/COVID-IMPACT Consortium   +20 more
doaj   +2 more sources

Challenges and recommendations for high quality research using electronic health records

Frontiers in Digital Health, 2022
Harnessing Real World Data is vital to improve health care in the 21st Century. Data from Electronic Health Records (EHRs) are a rich source of patient centred data, including information on the patient's clinical condition, laboratory results, diagnoses
K Honeyford, K Honeyford, P Expert, P Expert, E.E Mendelsohn, B Post, B Post, A.A Faisal, A.A Faisal, A.A Faisal, A.A Faisal, B Glampson, B Glampson, E.K Mayer, E.K Mayer, E.K Mayer, C.E Costelloe, C.E Costelloe, C.E Costelloe   +18 more
doaj   +2 more sources

Machine learning models, trusted research environments and UK health data: ensuring a safe and beneficial future for AI development in healthcare. [PDF]

J Med Ethics, 2023
Digitalisation of health and the use of health data in artificial intelligence, and machine learning (ML), including for applications that will then in turn be used in healthcare are major themes permeating current UK and other countries’ healthcare ...
Kerasidou CX, Malone M, Daly A, Tava F.
europepmc   +2 more sources

Enabling AI Research within a Trusted Research Environment

International Journal of Population Data Science
We aimed to develop an AI governance framework for Trusted Research Environments (TREs) to assess the risks associated with releasing AI models trained on secure data. Through stakeholder engagement, risk assessment methodologies, and technological innovations, we have enabled the responsible development and deployment of AI models within a TRE.
Lewis Hotchkiss, Emma Squires, Simon Thompson   +2 more
openaire   +2 more sources

Developing Synthetic Data Tools for Trusted Research Environments to Enable Researcher Training

International Journal of Population Data Science
We aimed to develop an open-source Python package for the Trusted Research Environment (TRE) community to facilitate the generation of varying levels of synthetic data.
Lewis Hotchkiss, Kafayat Adeoye, Emma Squires, Simon Thompson   +3 more
doaj   +2 more sources

Demonstrating paths for unlocking the value of cloud genomics through cross cohort analysis

Nature Communications, 2023
Recently, large scale genomic projects such as All of Us and the UK Biobank have introduced a new research paradigm where data are stored centrally in cloud-based Trusted Research Environments (TREs).
Nicole Deflaux, Margaret Sunitha Selvaraj, Henry Robert Condon, Kelsey Mayo, Sara Haidermota, Melissa A. Basford, Chris Lunt, Anthony A. Philippakis, Dan M. Roden, Joshua C. Denny, Anjene Musick, Rory Collins, Naomi Allen, Mark Effingham, David Glazer, Pradeep Natarajan, Alexander G. Bick   +16 more
doaj   +2 more sources