文章基本信息

标题：An outline framework for the efficient onward-sharing of linked Longitudinal Population Study and NHS Digital records.
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作者：Andy Boyd ; Garry Coleman ; Estelle Spence 等
期刊名称：International Journal of Population Data Science
电子版ISSN：2399-4908
出版年度：2019
卷号：4
期号：3
页码：1-1
DOI：10.23889/ijpds.v4i3.1318
出版社：Swansea University
其他摘要：BackgroundLongitudinal Population Studies (LPS) typically operate as data resources for global bona-fide research, and therefore routinely share data to inform new research investigations. Current data sharing agreements between LPS and NHS Digital generally do not permit the onward-sharing of linked health records beyond the LPS’s host institution or provide mechanisms to dynamically add new research hypotheses. AimTo develop a framework of standardised onward-sharing models which control for risk and legal requirements and fit the context of different LPS. ApproachThe CLOSER longitudinal consortium and NHS Digital held consultation meetings with 13 UK longitudinal studies, consortia studies and infrastructure providers to identify requirements and potential solutions. ResultsFive onward-sharing models were identified. Two rely on the principle that anonymised data can be shared in a light-touch regulatory framework, and that this principle extends to ‘effectively anonymised’ data processed in line with the Information Commissioner’s Office (ICO) anonymisation code of practice. Three methods utilise differing permutations of contractual agreements in order to control for risk and enforce NHS Digital’s legal obligations. Establishing and maintaining these contractual arrangements will involve close working arrangements between the LPS and NHS Digital and further work is needed to clarify requirements for international data sharing. All models rely on the use of socio-technical controls used by LPS and infrastructure providers operating ‘Data Safe Haven’ approaches. Secure research facilities offered by national infrastructure providers – such as UK Secure eResearch Platform and UK Data Service – provide powerful risk control tools. ConclusionThe identified models provide varied and flexible options for the onward-sharing of linked LPS and NHS Digital data. Greater clarity is needed in order to share effectively anonymised data and to share data internationally. There are opportunities for the LPS community to facilitate elements of these processes through partnership approaches.