FAIR plus R: Making Clinical Data Reliable Through Qualitative Metadata

被引：0

作者：

Boenisch, Caroline ^{[1
]}

Kesztyues, Dorothea ^{[1
]}

Kesztyues, Tibor ^{[1
]}

机构：

[1] Univ Med Ctr Gottingen, Dept Med Informat, Med Data Integrat Ctr, Robert Koch Str 40, D-37075 Gottingen, Germany

来源：

MEDINFO 2023 - THE FUTURE IS ACCESSIBLE | 2024年 / 310卷

关键词：

FAIR; metadata; data quality; reliable data;

D O I：

10.3233/SHTI230935

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Metadata are often the first access to data repositories for researchers within secondary use. Through automatic metadata generation and metadata harvesting the amount of data about data has been growing ever since. In order to make data not only FAIR but also reliable, the aspect of metadata quality has to be considered. But as earlier assessments of metadata of different repositories showed, metadata quality still lacks behind its capability. Providing an extensive literature review the authors conclude nine measures to assess metadata in relation to clinical care repositories, such as Medical Data Integration Centers (MeDICs). Proceeding from these measures the authors propose an addition of the FAIR Guiding Principles by adding a fifth block for Reliability including three principles, that resulted from the measures presented. The results form the basis for the future work of an assessment of metadata, that is stored in a MeDIC.

引用

页码：99 / 103

页数：5