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Semi-Automated Checking of Research Outputs

Semi-Automated Checking of Research Outputs
研究成果的半自动检查
批准号:
MC_PC_23006
负责人:
James Smith
金额:
$65.61万
依托单位国家:
英国
项目类别:
Intramural
财政年份:
2023
资助国家:
英国
项目状态:
已结题
起止时间:
2023 至 --

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中文摘要
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英文摘要
Trusted Research Environments (TREs) play a vital role in enabling researchers to analyse confidential data such as health records then report findings. The Five-SafesFramework is used to ensure data confidentiality and includes Safe Outputs. Outputs are typically checked by two expert staff before release, which is a significant expense for TREoperators, and can cause a bottleneck for researchers.Meanwhile, the parallel development of TREs and understanding of disclosure-risk, hascreated a need to consolidate theory and practice to minimise inconsistent behaviourbetween TREs. Addressing both these issues, this project seeks to reduce the operating costs of TREs, and the time taken to release research results. It will:•Produce a consolidated framework with a rigorous statistical basis that providesguidance for TREs to agree consistent, standard processes to assist in QualityAssurance.•Design and implement a semi-automated system for checks on common research outputs, with increasing levels of support for other types such as AI.•Work with a range of different types of TRE in different sectors (health, social data)and organisations (academia, government, private sector) to ensure wide applicability.•Work with public and patients to explore what is needed for public trust that anyautomation is acting as “an extra pair of eyes”: supporting not supplanting TRE staff,helping them to make easy decisions more rapidly and therefore focus on more complex or nuanced cases.
期刊论文(2)
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科研奖励(0)
会议论文
Machine learning models in trusted research environments -- understanding operational risks
可信研究环境中的机器学习模型——了解运营风险
DOI: 10.23889/ijpds.v8i1.2165
发表时间: 2023
期刊: International Journal of Population Data Science
影响因子: --
作者: [Ritchie F]
通讯作者: Ritchie F
The inadvertently revealing statistic: A systemic gap in statistical training?
无意中揭示的统计数据:统计培训中的系统性差距?
DOI: 10.1093/jrssig/qmae009
发表时间: 2024
期刊: Significance
影响因子: --
作者: [Derrick B]
通讯作者: Derrick B
SBIR Phase II: Increasing energy yield from dusty solar panels with a new generation of an electrostatic self-cleaning technology
  • 批准号:
    2322204
  • 项目类别:
    Cooperative Agreement
  • 资助金额:
    $100.0万
  • 财政年份:
    2024
  • 负责人:
    James Smith
  • 依托单位:
SBIR Phase I: Increasing energy yield from dusty solar panels with a new generation of an electrostatic self-cleaning technology
  • 批准号:
    2052210
  • 项目类别:
    Standard Grant
  • 资助金额:
    $25.6万
  • 财政年份:
    2021
  • 负责人:
    James Smith
  • 依托单位:
Chemically Resolving the Growth of Gas Phase Clusters into Nanoparticles
  • 批准号:
    2004066
  • 项目类别:
    Standard Grant
  • 资助金额:
    $48.16万
  • 财政年份:
    2020
  • 负责人:
    James Smith
  • 依托单位:
MRI: Acquisition of a High-Performance Mass Spectrometer for Atmospheric Ecometabolomics Research
  • 批准号:
    1920242
  • 项目类别:
    Standard Grant
  • 资助金额:
    $44.81万
  • 财政年份:
    2019
  • 负责人:
    James Smith
  • 依托单位:
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