Balancing constraints and requirements in an application process

ObjectivesDeveloping a rigorous application process for linked data within the UK Longitudinal Linkage Collaboration’s Trusted Research Environment (TRE) included balancing the requirements of >20 longitudinal studies and several data providers with the need to provision data to researchers in a safe, ethical and efficient manner. ApproachUK LLC was commissioned as a resource to enable the investigation of COVID-19 questions: a secure setting where longitudinal population studies (LPS) can be linked efficiently to regularly refreshed NHS electronic health records, and then accessed by researchers. UK LLC received funding to continue as a resource for any research in public good and to link to the administrative records (education, occupation, tax and benefits). To accommodate the constraints imposed by a new set of data controllers and to account for wide variety of proposals expected, we expanded our data access process. ResultsUK LLC has a three-stage application and review process. The addition of administrative data meant that there is additional review for those applications requesting that data (Stage 4) and need to align processes with the UK Statistics Authority. There is also need to review complexity of the data requests and ethical implications of any application to access the data. We have developed an ethics decision tree to help guide the decision making around ethics requirements. ConclusionOur process is evolving as we are trying to meet the challenge of balancing the needs of >20 studies, stakeholders, applicants, and participant/public contributors, to create a process that can handle complex needs and requirements.

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Publication Details

Journal
International Journal for Population Data Science
Published
2024-09-10
DOI
https://doi.org/10.23889/ijpds.v9i5.2608
Primary Topic
Business Process Modeling and Analysis
Type
article
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article

Balancing constraints and requirements in an application process

Stela McLachlan, Rebecca Whitehorn, Robin Flaig, Katharine Evans et al.
International Journal for Population Data Science
Business Process Modeling and Analysis
article

Balancing constraints and requirements in an application process

Stela McLachlan, Rebecca Whitehorn, Robin Flaig, Katharine Evans, Emma L. Turner, Jacqueline Oakley, Andy Boyd
article en

Abstract

ObjectivesDeveloping a rigorous application process for linked data within the UK Longitudinal Linkage Collaboration’s Trusted Research Environment (TRE) included balancing the requirements of >20 longitudinal studies and several data providers with the need to provision data to researchers in a safe, ethical and efficient manner. ApproachUK LLC was commissioned as a resource to enable the investigation of COVID-19 questions: a secure setting where longitudinal population studies (LPS) can be linked efficiently to regularly refreshed NHS electronic health records, and then accessed by researchers. UK LLC received funding to continue as a resource for any research in public good and to link to the administrative records (education, occupation, tax and benefits). To accommodate the constraints imposed by a new set of data controllers and to account for wide variety of proposals expected, we expanded our data access process. ResultsUK LLC has a three-stage application and review process. The addition of administrative data meant that there is additional review for those applications requesting that data (Stage 4) and need to align processes with the UK Statistics Authority. There is also need to review complexity of the data requests and ethical implications of any application to access the data. We have developed an ethics decision tree to help guide the decision making around ethics requirements. ConclusionOur process is evolving as we are trying to meet the challenge of balancing the needs of >20 studies, stakeholders, applicants, and participant/public contributors, to create a process that can handle complex needs and requirements.

International Journal for Population Data ScienceVol. 9(5)
University of Bristol (GB), University of Edinburgh (GB)
Openalex Percentile: Top 77%
Business Process Modeling and Analysis
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Balancing constraints and requirements in an application process — Stela McLachlan, Rebecca Whitehorn, et al. · International Journal for Population Data Science (2024) | TGRS Research Map | TGRS