Shiells Kate, Di Cara Nina, Skatova Anya, Davis Oliver S P, Haworth Claire M A, Skinner Andy L, Thomas Richard, Tanner Alastair R, Macleod John, Timpson Nicholas J, Boyd Andy
Medical Research Council (MRC) Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Alan Turing Institute, London, UK.
Int J Popul Data Sci. 2022 Mar 16;5(3):1728. doi: 10.23889/ijpds.v7i1.1728. eCollection 2020.
Digital footprint records - the tracks and traces amassed by individuals as a result of their interactions with the internet, digital devices and services - can provide ecologically valid data on individual behaviours. These could enhance longitudinal population study databanks; but few UK longitudinal studies are attempting this. When using novel sources of data, study managers must engage with participants in order to develop ethical data processing frameworks that facilitate data sharing whilst safeguarding participant interests.
This paper aims to summarise the participant involvement approach used by the ALSPAC birth cohort study to inform the development of a framework for using linked participant digital footprint data, and provide an exemplar for other data linkage infrastructures.
The paper synthesises five qualitative forms of inquiry. Thematic analysis was used to code transcripts for common themes in relation to conditions associated with the acceptability of sharing digital footprint data for longitudinal research.
We identified six themes: participant understanding; sensitivity of location data; concerns for third parties; clarity on data granularity; mechanisms of data sharing and consent; and trustworthiness of the organisation. For cohort members to consider the sharing of digital footprint data acceptable, they require information about the value, validity and risks; control over sharing elements of the data they consider sensitive; appropriate mechanisms to authorise or object to their records being used; and trust in the organisation.
Realising the potential for using digital footprint records within longitudinal research will be subject to ensuring that this use of personal data is acceptable; and that rigorously controlled population data science benefiting the public good is distinguishable from the misuse and lack of personal control of similar data within other settings. Participant co-development informs the ethical-governance framework for these novel linkages in a manner which is acceptable and does not undermine the role of the trusted data custodian.
数字足迹记录——个人在与互联网、数字设备和服务交互过程中所产生的轨迹和痕迹——可以提供关于个体行为的具有生态效度的数据。这些数据可以增强纵向人群研究数据库;但英国很少有纵向研究在尝试这样做。当使用新的数据来源时,研究管理人员必须与参与者接触,以制定道德的数据处理框架,促进数据共享,同时保护参与者的利益。
本文旨在总结 ALSPAC 出生队列研究中使用的参与者参与方法,为使用链接的参与者数字足迹数据制定框架提供信息,并为其他数据链接基础设施提供范例。
本文综合了五种定性形式的调查。主题分析用于对与可接受性相关的条件的转录进行编码,以确定与纵向研究中共享数字足迹数据的可接受性相关的共同主题。
我们确定了六个主题:参与者的理解;位置数据的敏感性;对第三方的关注;数据粒度的清晰度;数据共享和同意的机制;以及组织的可信度。为了让队列成员考虑接受共享数字足迹数据,他们需要了解数据的价值、有效性和风险;控制他们认为敏感的数据共享元素;适当的机制来授权或反对使用他们的记录;并信任组织。
要实现在纵向研究中使用数字足迹记录的潜力,必须确保这种个人数据的使用是可接受的,并且严格控制的、有利于公众利益的人口数据科学与类似数据在其他环境中的滥用和缺乏个人控制区分开来。参与者共同制定以可接受的方式为这些新颖的联系提供道德治理框架,而不会破坏受信任的数据保管人的角色。