Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Katie Wilde"'
Autor:
Katherine O'Sullivan, Jackie Caldwell, Christian Cole, Kathy Harrison, Charlie Mayor, Antonietta Chaliou, Jaroslaw Dymiter, Stacey Dawson, Diane Brown, Katie Wilde
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Synthetic Data has the potential to improve efficiency of data analysis for researchers. However, there is no standard approach to synthetic data governance, access controls or infrastructure requirements, and researchers may face inconsistencies in
Externí odkaz:
https://doaj.org/article/578154fc5db649a3b961ca626518fe43
Autor:
Katherine O'Sullivan, Joanne Lumsden, Caroline Anderson, Corri Black, William Ball, Katie Wilde
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Linking data across local authorities and health boards has the potential to reduce inequalities and improve outcomes. However, cross-agency data sharing leads to complexities around data ownership, legal conditions for processing, organisational con
Externí odkaz:
https://doaj.org/article/3266ae1b946c4677941355f9addeb1a5
Autor:
Katherine O'Sullivan, Milan Markovic, Jaroslaw Dymiter, Adrian Martin, Chinasa Odo, Helen Rowlands, Ana Ciocarlan, Katie Wilde, Arlene Casey
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
We present a prototype solution for improving transparency and quality assurance of the data linkage process through a data provenance dashboard designed to assist data analysts, researchers and information governance teams in authenticating and audi
Externí odkaz:
https://doaj.org/article/4455002f468c4f8fa0452f77b7c477f7
Autor:
William P. Ball, Corri Black, Sharon Gordon, Bārbala Ostrovska, Shantini Paranjothy, Adelene Rasalam, David Ritchie, Helen Rowlands, Magdalena Rzewuska, Elaine Thompson, Katie Wilde, Jessica E. Butler
Publikováno v:
BMC Psychiatry, Vol 23, Iss 1, Pp 1-18 (2023)
Abstract Background One in eight children in the United Kingdom are estimated to have a mental health condition, and many do not receive support or treatment. The COVID-19 pandemic has negatively impacted mental health and disrupted the delivery of c
Externí odkaz:
https://doaj.org/article/1f94beda2d5b4ba1a2b7cf0bfaaf8517
Autor:
Katherine O'Sullivan, Katie Wilde
Publikováno v:
International Journal of Population Data Science, Vol 4, Iss 2 (2023)
There has been a recent emphasis to establish and codify large-scale or national Trusted Research Environments (TREs) in the United Kingdom, with a view to limit smaller, local TREs. The basis for this argument is that it avoids duplication of infras
Externí odkaz:
https://doaj.org/article/a59ca3e234524b6aac129f464efef8d8
Publikováno v:
International Journal of Population Data Science, Vol 7, Iss 3 (2022)
Objectives Scotland has an established Trusted Research Environment (TREs) through the Scottish Safe Haven Network. These Safe Havens traditionally service structured datasets, however, researchers increasingly require access to large multi-modal lin
Externí odkaz:
https://doaj.org/article/0ca8e9029f924cf8b11d5f00514bd516
Autor:
Luke Farrow, Katie Wilde, Jaroslaw Dymiter, Moragh Boyle, Alexander Weir, James Blackwood, Charlie Mayor, David Harrison, Lesley Anderson
Publikováno v:
International Journal of Population Data Science, Vol 7, Iss 3 (2022)
Objectives To determine the risk of misidentification when using a “Hidden In Plain Sight (HIPS)” Named Entity Recognition (NER) de-identification methodology applied to Scottish healthcare data within The Industrial Centre for Artificial Intelli
Externí odkaz:
https://doaj.org/article/57e18da8f0f64c599a07b6bab09fb86d
Publikováno v:
International Journal of Population Data Science, Vol 7, Iss 3 (2022)
Objectives Research using unconsented healthcare data has the potential to have significant public benefit in terms of improved health outcomes. However, due to the sensitive nature of this data, appropriate governance, approvals, and mitigations are
Externí odkaz:
https://doaj.org/article/0cd1d47adde14e75acaa72da75a05da3
Autor:
William Ball, Helen Rowlands, Corri Black, Shantini Paranjothy, Adelene Rasalam, David Ritchie, Magdalena Rzewuska, Elaine Thompson, Katie Wilde, Jessica Butler
Publikováno v:
International Journal of Population Data Science, Vol 7, Iss 3 (2022)
Objective 1 in 8 young people in the United Kingdom are estimated to have a diagnosable mental health condition. Prevalence is increasing over time, many are untreated, and need is not evenly distributed across the population. We aimed to investigate
Externí odkaz:
https://doaj.org/article/c9d57b4099e54741afda15327909202d
Autor:
Bernhard Scheliga, Milan Markovic, Helen Rowlands, Artur Wozniak, Katie Wilde, Jessica Butler
Publikováno v:
International Journal of Population Data Science, Vol 7, Iss 3 (2022)
Objective To protect privacy, routinely-collected data are processed and anonymised by third parties before being used for research. However, the methods used to do this are rarely shared, leaving the resulting research difficult to evaluate and liab
Externí odkaz:
https://doaj.org/article/615e2bab2a1c40e9b0a817e583b5ed6b