Suppr超能文献

临床试验非营利资助者的数据共享目标。

Data Sharing Goals for Nonprofit Funders of Clinical Trials.

作者信息

Coetzee Timothy, Ball Mad Price, Boutin Marc, Bronson Abby, Dexter David T, English Rebecca A, Furlong Patricia, Goodman Andrew D, Grossman Cynthia, Hernandez Adrian F, Hinners Jennifer E, Hudson Lynn, Kennedy Annie, Marchisotto Mary Jane, Myers Elizabeth, Nowell W Benjamin, Nosek Brian A, Sherer Todd, Shore Carolyn, Sim Ida, Smolensky Luba, Williams Christopher, Wood Julie, Terry Sharon F, Matrisian Lynn

机构信息

National Multiple Sclerosis Society, Cherry Hill, NJ, United States.

Open Humans Foundation, San Diego, CA, United States.

出版信息

J Particip Med. 2021 Mar 29;13(1):e23011. doi: 10.2196/23011.

Abstract

Sharing clinical trial data can provide value to research participants and communities by accelerating the development of new knowledge and therapies as investigators merge data sets to conduct new analyses, reproduce published findings to raise standards for original research, and learn from the work of others to generate new research questions. Nonprofit funders, including disease advocacy and patient-focused organizations, play a pivotal role in the promotion and implementation of data sharing policies. Funders are uniquely positioned to promote and support a culture of data sharing by serving as trusted liaisons between potential research participants and investigators who wish to access these participants' networks for clinical trial recruitment. In short, nonprofit funders can drive policies and influence research culture. The purpose of this paper is to detail a set of aspirational goals and forward thinking, collaborative data sharing solutions for nonprofit funders to fold into existing funding policies. The goals of this paper convey the complexity of the opportunities and challenges facing nonprofit funders and the appropriate prioritization of data sharing within their organizations and may serve as a starting point for a data sharing toolkit for nonprofit funders of clinical trials to provide the clarity of mission and mechanisms to enforce the data sharing practices their communities already expect are happening.

摘要

分享临床试验数据可以为研究参与者和社区带来价值,因为研究人员合并数据集以进行新的分析、重现已发表的研究结果以提高原创研究的标准,并从他人的工作中学习以提出新的研究问题,从而加速新知识和治疗方法的开发。包括疾病宣传组织和以患者为中心的组织在内的非营利性资助者在促进和实施数据共享政策方面发挥着关键作用。资助者具有独特的地位,可以通过充当潜在研究参与者与希望利用这些参与者网络进行临床试验招募的研究人员之间值得信赖的联络人,来促进和支持数据共享文化。简而言之,非营利性资助者可以推动政策并影响研究文化。本文的目的是详细阐述一系列理想目标以及具有前瞻性思维的协作性数据共享解决方案,供非营利性资助者纳入现有资助政策中。本文的目标传达了非营利性资助者面临的机遇和挑战的复杂性,以及在其组织内对数据共享进行适当的优先级排序,并且可以作为临床试验非营利性资助者数据共享工具包的起点,以提供使命的清晰性以及执行其社区已经期望正在发生的数据共享实践的机制。

相似文献

2
The future of Cochrane Neonatal.考克兰新生儿协作网的未来。
Early Hum Dev. 2020 Nov;150:105191. doi: 10.1016/j.earlhumdev.2020.105191. Epub 2020 Sep 12.
7
[Data sharing policies of clinical trials funders in France].[法国临床试验资助者的数据共享政策]
Therapie. 2020 Nov-Dec;75(6):527-536. doi: 10.1016/j.therap.2020.04.001. Epub 2020 Apr 9.

引用本文的文献

本文引用的文献

2
Clinical trial data sharing: here's the challenge.临床试验数据共享:挑战在于此。
BMJ Open. 2019 Aug 21;9(8):e032334. doi: 10.1136/bmjopen-2019-032334.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验