数据可发现性和研究可重复性元数据(MINERVA):欧洲元数据清单和目录的开发与试点。

IF 2.4 4区 医学 Q3 PHARMACOLOGY & PHARMACY
Romin Pajouheshnia, Rosa Gini, Lia Gutierrez, Morris A Swertz, Eleanor Hyde, Miriam Sturkenboom, Alejandro Arana, Carla Franzoni, Vera Ehrenstein, Giuseppe Roberto, Miguel Gil, Miguel Angel Maciá, Wiebke Schäfer, Ulrike Haug, Nicolas H Thurin, Régis Lassalle, Cécile Droz-Perroteau, Silvia Zaccagnino, Maria Paula Busto, Bas Middelkoop, Karin Gembert, Francisco Sanchez-Saez, Clara Rodriguez-Bernal, Gabriel Sanfélix-Gimeno, Isabel Hurtado, Manuel Barreiro-de Acosta, Beatriz Poblador-Plou, Jonás Carmona-Pírez, Antonio Gimeno-Miguel, Alexandra Prados-Torres, Anna Schultze, Ella Jansen, Ron Herings, Josine Kuiper, Igor Locatelli, Janja Jazbar, Špela Žerovnik, Mitja Kos, Steven Smit, Sirje Lind, Andres Metspalu, Stefania Simou, Karin Hedenmalm, Ana Cochino, Paolo Alcini, Xavier Kurz, Susana Perez-Gutthann
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引用次数: 0

摘要

目的:欧洲药品管理局资助的一个项目(EUPAS39322)--"客观研究中的数据可发现性和研究可重复性元数据"(MINERVA)--定义了一套用于描述真实世界数据源(RWDS)的元数据,并在原型目录中试行元数据收集,以便从数据源的可发现性到研究的开展为研究者提供帮助:方法:通过审查现有元数据目录和建议、结构化访谈、利益相关者调查和技术研讨会,创建了元数据清单。原型的设计符合 FAIR 原则(可查找、可访问、可互操作、可重用),并使用了 MOLGENIS 软件。来自欧洲的 15 个数据访问合作伙伴(DAPs)对元数据收集工作进行了试点:在六个领域共定义了 442 个元数据变量:机构(与数据源相连的组织);数据库(由一个组织维持的数据集合);数据源(涵盖共同基础人群的可链接数据库集合);研究;网络(机构);以及通用数据模型(CDM)。原型中总共记录了 26 个机构。每个 DAP 都填充了一个数据源及其选定数据库的元数据。数据库的数量因数据源而异;最常见的数据库是医院管理记录和药房配药记录(各有 10 个数据源)。从符合不同 CDM 的三个数据源中成功提取了定量元数据,并将其输入原型:最终确定了元数据清单,成功填充了原型,并制定了良好实践指南。建立和维护 RWDS 元数据目录将需要大量努力,以支持欧洲数据源的可发现性和研究的可重复性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Metadata for Data dIscoverability aNd Study rEplicability in obseRVAtional Studies (MINERVA): Development and Pilot of a Metadata List and Catalogue in Europe.

Purpose: Metadata for data dIscoverability aNd study rEplicability in obseRVAtional studies (MINERVA), a European Medicines Agency-funded project (EUPAS39322), defined a set of metadata to describe real-world data sources (RWDSs) and piloted metadata collection in a prototype catalogue to assist investigators from data source discoverability through study conduct.

Methods: A list of metadata was created from a review of existing metadata catalogues and recommendations, structured interviews, a stakeholder survey, and a technical workshop. The prototype was designed to comply with the FAIR principles (findable, accessible, interoperable, reusable), using MOLGENIS software. Metadata collection was piloted by 15 data access partners (DAPs) from across Europe.

Results: A total of 442 metadata variables were defined in six domains: institutions (organizations connected to a data source); data banks (data collections sustained by an organization); data sources (collections of linkable data banks covering a common underlying population); studies; networks (of institutions); and common data models (CDMs). A total of 26 institutions were recorded in the prototype. Each DAP populated the metadata of one data source and its selected data banks. The number of data banks varied by data source; the most common data banks were hospital administrative records and pharmacy dispensation records (10 data sources each). Quantitative metadata were successfully extracted from three data sources conforming to different CDMs and entered into the prototype.

Conclusions: A metadata list was finalized, a prototype was successfully populated, and a good practice guide was developed. Setting up and maintaining a metadata catalogue on RWDSs will require substantial effort to support discoverability of data sources and reproducibility of studies in Europe.

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来源期刊
CiteScore
4.80
自引率
7.70%
发文量
173
审稿时长
3 months
期刊介绍: The aim of Pharmacoepidemiology and Drug Safety is to provide an international forum for the communication and evaluation of data, methods and opinion in the discipline of pharmacoepidemiology. The Journal publishes peer-reviewed reports of original research, invited reviews and a variety of guest editorials and commentaries embracing scientific, medical, statistical, legal and economic aspects of pharmacoepidemiology and post-marketing surveillance of drug safety. Appropriate material in these categories may also be considered for publication as a Brief Report. Particular areas of interest include: design, analysis, results, and interpretation of studies looking at the benefit or safety of specific pharmaceuticals, biologics, or medical devices, including studies in pharmacovigilance, postmarketing surveillance, pharmacoeconomics, patient safety, molecular pharmacoepidemiology, or any other study within the broad field of pharmacoepidemiology; comparative effectiveness research relating to pharmaceuticals, biologics, and medical devices. Comparative effectiveness research is the generation and synthesis of evidence that compares the benefits and harms of alternative methods to prevent, diagnose, treat, and monitor a clinical condition, as these methods are truly used in the real world; methodologic contributions of relevance to pharmacoepidemiology, whether original contributions, reviews of existing methods, or tutorials for how to apply the methods of pharmacoepidemiology; assessments of harm versus benefit in drug therapy; patterns of drug utilization; relationships between pharmacoepidemiology and the formulation and interpretation of regulatory guidelines; evaluations of risk management plans and programmes relating to pharmaceuticals, biologics and medical devices.
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