Tarwid Justyna, Childs Michelle, Junod-Moser Dominique, Negrouk Anastassia, Egondi Thaddaeus, Tipple Craig
Drugs for Neglected Diseases initiative, Geneva, Switzerland
Drugs for Neglected Diseases initiative, Geneva, Switzerland.
BMJ Open. 2024 Dec 20;14(12):e078862. doi: 10.1136/bmjopen-2023-078862.
The Drugs for Neglected Diseases initiative (DNDi) is committed to maximising the scientific value of the individual participant data (IPD) it has collected during its 20 years of activity and the IPD it will collect in the future, while safeguarding research participants' privacy and their right to know how their data will be processed.
The objective of this article is to share what DNDi has learnt while working on its commitment to data sharing. It also aims to advance the debate about best practice in the research community to avoid 'IPD sharing paralysis', with a focus on multistakeholder projects involving patients and researchers based in countries with various levels of data privacy regulations and measures.
The article describes a practical case study outlining the ethical, legal and technical challenges encountered by DNDi in the context of IPD data sharing. The case study demonstrates that each individual research project presents new challenges, which frequently require external support, delaying the process of data sharing and increasing the overall cost.
These challenges mean that a case-by-case approach is required for each IPD project to ensure an appropriate balance between the rights of the individual, the integrity of the research and the maximum use of IPD for scientific progress. A collective and inclusive approach is needed to streamline the process of IPD sharing and accelerate research into pressing unmet medical needs.
被忽视疾病药物研发倡议组织(DNDi)致力于将其在20年活动期间收集的个体参与者数据(IPD)以及未来将收集的IPD的科学价值最大化,同时保护研究参与者的隐私以及他们了解其数据将如何被处理的权利。
本文的目的是分享DNDi在致力于数据共享过程中所学到的经验。它还旨在推动研究界关于最佳实践的辩论,以避免“IPD共享瘫痪”,重点关注涉及患者和来自具有不同数据隐私法规和措施水平国家的研究人员的多利益相关方项目。
本文描述了一个实际案例研究,概述了DNDi在IPD数据共享背景下遇到的伦理、法律和技术挑战。该案例研究表明,每个单独的研究项目都带来新的挑战,这些挑战常常需要外部支持,从而延迟了数据共享进程并增加了总体成本。
这些挑战意味着每个IPD项目都需要采取逐案处理的方法,以确保在个人权利、研究的完整性以及为科学进步最大限度利用IPD之间取得适当平衡。需要一种集体和包容的方法来简化IPD共享流程,并加速针对迫切未满足医疗需求的研究。