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临床试验中共享个体参与者数据所涉及流程的分类。

Classification of processes involved in sharing individual participant data from clinical trials.

作者信息

Ohmann Christian, Canham Steve, Banzi Rita, Kuchinke Wolfgang, Battaglia Serena

机构信息

European Clinical Research Infrastructure Network (ECRIN), Düsseldorf, 40477, Germany.

Canham Information Systems, Redhill, Surrey, RH1 6QH, UK.

出版信息

F1000Res. 2018 Feb 1;7:138. doi: 10.12688/f1000research.13789.2. eCollection 2018.

Abstract

In recent years, a cultural change in the handling of research data has resulted in the promotion of a culture of openness and an increased sharing of data. In the area of clinical trials, sharing of individual participant data involves a complex set of processes and the interaction of many actors and actions. Individual services and tools to support data sharing are becoming available, but what is missing is a detailed, structured and comprehensive list of processes and subprocesses involved and the tools and services needed. : Principles and recommendations from a published consensus document on data sharing were analysed in detail by a small expert group. Processes and subprocesses involved in data sharing were identified and linked to actors and possible supporting services and tools. Definitions adapted from the business process model and notation (BPMN) were applied in the analysis. A detailed and comprehensive tabulation of individual processes and subprocesses involved in data sharing, structured according to 9 main processes, is provided. Possible tools and services to support these processes are identified and grouped according to the major type of support. The identification of the individual processes and subprocesses and supporting tools and services, is a first step towards development of a generic framework or architecture for the sharing of data from clinical trials. Such a framework is needed to provide an overview of how the various actors, research processes and services could interact to form a sustainable system for data sharing.

摘要

近年来,研究数据处理方面的文化变革推动了开放文化的发展,并增加了数据共享。在临床试验领域,个体参与者数据的共享涉及一系列复杂的流程以及众多参与者和行动的相互作用。支持数据共享的个体服务和工具正在出现,但缺少的是一份详细、结构化且全面的涉及流程和子流程以及所需工具和服务的清单。一个小型专家小组详细分析了一份已发表的关于数据共享的共识文件中的原则和建议。确定了数据共享中涉及的流程和子流程,并将其与参与者以及可能的支持服务和工具联系起来。分析中应用了源自业务流程模型和符号(BPMN)的定义。提供了一份详细且全面的数据共享中涉及的个体流程和子流程的列表,按照9个主要流程进行了结构化编排。确定了支持这些流程的可能工具和服务,并根据主要支持类型进行了分组。识别个体流程和子流程以及支持工具和服务是朝着开发临床试验数据共享通用框架或架构迈出的第一步。需要这样一个框架来概述各种参与者、研究流程和服务如何相互作用以形成一个可持续的数据共享系统。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a674/6021120/908af35cc429/f1000research-7-15913-g0000.jpg

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