Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Trusted Research Environments"'
Autor:
Okoniewski Michal J., Wiegand Anna, Schmid Diana Coman, Bolliger Christian, Bovino Cristian, Belluco Mattia, Wüst Thomas, Byrde Olivier, Maffioletti Sergio, Rinn Bernd
Publikováno v:
Journal of Integrative Bioinformatics, Vol 21, Iss 3, Pp 1170-4 (2024)
This paper provides an overview of the development and operation of the Leonhard Med Trusted Research Environment (TRE) at ETH Zurich. Leonhard Med gives scientific researchers the ability to securely work on sensitive research data. We give an overv
Externí odkaz:
https://doaj.org/article/f0b4ebf756d64105a6b84bf0d250c664
Autor:
Adam Coulson, Vicki Madden
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 3 (2024)
Background With funding from HDR UK, Research Data Scotland (RDS) commissioned award-winning production company Media Co-op to create three short graphic animations targeted at both researchers and members of the public, building on our existing text
Externí odkaz:
https://doaj.org/article/85d2cc268b7147a9ba49a5764735abdf
Autor:
Deborah Wiltshire
Publikováno v:
IASSIST Quarterly, Vol 48, Iss 1 (2024)
Social science and humanities research infrastructures allow the sharing and safe use of confidential, sensitive data for research via physical safe havens. In recent years there has been a shift towards virtual data enclaves or Remote Desktop system
Externí odkaz:
https://doaj.org/article/6814817a1d7c4642b0c523240d0144b8
Autor:
Fatemeh Torabi, Chris Orton, Emma Squires, Sharon Heys, Richard Hier, Ronan A. Lyons, Simon Thompson
Publikováno v:
International Journal of Population Data Science, Vol 8, Iss 4 (2023)
Background Trusted Research Environments provide a legitimate basis for data access along with a set of technologies to support implementation of the "five-safes" framework for privacy protection. Lack of standard approaches in achieving compliance w
Externí odkaz:
https://doaj.org/article/3c08871e8b8e452990d522a2d6ac041f
Autor:
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
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-15 (2023)
Abstract 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. Beyond COVID-19, data h
Externí odkaz:
https://doaj.org/article/5727f736125349f88ecb427ef014e537
Autor:
Emily Jefferson, Christian Cole, Alba Crespi Boixader, Simon Rogers, Maeve Malone, Felix Ritchie, Jim Smith, Francesco Tava, Angela Daly, Jillian Beggs, Antony Chuter
Publikováno v:
International Journal of Population Data Science, Vol 7, Iss 3 (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 se
Externí odkaz:
https://doaj.org/article/edf4041fad1b431f8adc5d9fc067019f
Akademický článek
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Autor:
Wiltshire, Deborah
Not all microdata can be anonymised without losing too much detail. For some data, once sufficient detail is removed to make it anonymous, much of its utility is lost. Therefore, pseudonymized data, data that is not fully anonymised, is increasingly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62d585bde957886c651619a7f6364b15
Autor:
Abbasizanjani, Hoda, Torabi, Fatemeh, Bedston, Stuart, Bolton, Thomas, Davies, Gareth, Denaxas, Spiros, Griffiths, Rowena, Herbert, Laura, Hollings, Sam, Keene, Spencer, Khunti, Kamlesh, Lowthian, Emily, Lyons, Jane, Mizani, Mehrdad A, Nolan, John, Sudlow, Cathie, Walker, Venexia, Whiteley, William, Wood, Angela, Akbari, Ashley, CVD-COVID-UK/COVID-IMPACT Consortium
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. Beyond COVID-19, data harmonisa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2eb57a9d679e9c6aa81f36222135c691
https://www.repository.cam.ac.uk/handle/1810/346609
https://www.repository.cam.ac.uk/handle/1810/346609
Autor:
DARE UK
The UK Research and Innovation DARE UK (Data and Analytics Research Environments UK) programme has been established to design and deliver a coordinated and trustworthy national data research infrastructure to support research at scale for public good
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27c1fed2d7df4c2d79745f1862c98a4e