标杆管理
数据治理
数据质量
审计
计算机科学
质量保证
数据共享
过程管理
背景(考古学)
质量(理念)
知识管理
数据科学
主题分析
业务
定性研究
医学
工程类
运营管理
会计
营销
外部质量评估
替代医学
社会科学
公制(单位)
古生物学
社会学
病理
哲学
认识论
生物
作者
T Engsig-Karup,Persephone Doupi,Mia Mäkinen,R Launa,F Estupiñán-Romero,E Bernal-Delgado,N Sahlertz Kristiansen
标识
DOI:10.1093/eurpub/ckac129.499
摘要
Abstract In the first phase of its work, WP6 has explored and synthesized existing knowledge and experiences on data quality assurance frameworks (DQAFs) in the context of cross-border sharing of federated secondary use health data. Our aim was to identify good practices within this area and develop a first set of corresponding recommendations. The recommendations reflect the synthesis of results from three parallel lines of work, each utilizing a different methodology: a) thematic workshops and partner meetings, b) analysis of existing data-sharing initiatives, and c) a scoping literature review. Our analysis of literature and existing health data initiatives suggest that currently deployed DQAFs cannot as such serve as platforms or models for an EHDS-wide data quality solution. There is an agreement in principle, that reliability, relevance, timeliness, coherence, coverage and completeness should be incorporated in a DQAF as measurable dimensions of data quality. We aim towards a working definition of data quality, which will be able to reflect the reality of the data, as well as its fitness for purpose from the perspective of potential users. • We recommend focusing efforts on transparency at the level of data holder institutions across Member States in relation to adoption of regular audits, a well-developed DQAF and clear procedures with regard to processing the data. • In the medium to longer-term EHDS nodes could promote and support the development of a benchmarking process, which will assist data managers and data holder institutions with alignment against a Europe-wide approach to measuring data quality within and across Member States.
科研通智能强力驱动
Strongly Powered by AbleSci AI