Linking the ECRIN Metadata Repository with the BBMRI-ERIC Directory to connect clinical studies with related biobanks and collections.

Open research Europe Pub Date : 2024-10-07 eCollection Date: 2024-01-01 DOI:10.12688/openreseurope.17131.2
Christian Ohmann, Steve Canham, Kurt Majcen, Vittorio Meloni, Luca Pireddu, Alessandro Sulis, Giovanni Delussu, Francesca Frexia, Petr Holub
{"title":"Linking the ECRIN Metadata Repository with the BBMRI-ERIC Directory to connect clinical studies with related biobanks and collections.","authors":"Christian Ohmann, Steve Canham, Kurt Majcen, Vittorio Meloni, Luca Pireddu, Alessandro Sulis, Giovanni Delussu, Francesca Frexia, Petr Holub","doi":"10.12688/openreseurope.17131.2","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>There is much value to be gained by linking clinical studies and (biosample-) collections that have been generated in the context of a clinical study. However, the linking problem is hard because usually no direct references between a clinical study and an associated collection are available.</p><p><strong>Methods: </strong>The BBMRI-ERIC Directory and the ECRIN Metadata Repository (MDR), already include much of the information required to link clinical studies and related sample collections. In this study, we present the work performed to find and implement those links across existing corresponding records in the two systems. The linking process between MDR studies and related collections in the BBMRI-ERIC Directory started with exploring linkage in both directions - searching the BBMRI-ERIC Directory for candidate hits to try to link with MDR records, and searching the ECRIN MDR for candidate hits to try to link with Directory collections. Thereafter, a systematic search through the BBMRI-ERIC Directory was performed.</p><p><strong>Results: </strong>The investigation of linkages in both directions resulted in a limited but promising number of linkages. The results of the systematic search of the Directory identified linkage of 202 studies, spanning 284 collections.</p><p><strong>Conclusions: </strong>The analysis with existing data sources indicated that links between the BBMRI-ERIC and ECRIN collections exist, but also that they would be difficult to continuously identify and maintain without a great deal of manual work which neither organisation could support. The question arises whether, in the future, systems could be put into place to make the exchange of information and the linkage of identifiers almost automatic.</p>","PeriodicalId":74359,"journal":{"name":"Open research Europe","volume":"4 ","pages":"50"},"PeriodicalIF":0.0000,"publicationDate":"2024-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11467644/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Open research Europe","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12688/openreseurope.17131.2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Background: There is much value to be gained by linking clinical studies and (biosample-) collections that have been generated in the context of a clinical study. However, the linking problem is hard because usually no direct references between a clinical study and an associated collection are available.

Methods: The BBMRI-ERIC Directory and the ECRIN Metadata Repository (MDR), already include much of the information required to link clinical studies and related sample collections. In this study, we present the work performed to find and implement those links across existing corresponding records in the two systems. The linking process between MDR studies and related collections in the BBMRI-ERIC Directory started with exploring linkage in both directions - searching the BBMRI-ERIC Directory for candidate hits to try to link with MDR records, and searching the ECRIN MDR for candidate hits to try to link with Directory collections. Thereafter, a systematic search through the BBMRI-ERIC Directory was performed.

Results: The investigation of linkages in both directions resulted in a limited but promising number of linkages. The results of the systematic search of the Directory identified linkage of 202 studies, spanning 284 collections.

Conclusions: The analysis with existing data sources indicated that links between the BBMRI-ERIC and ECRIN collections exist, but also that they would be difficult to continuously identify and maintain without a great deal of manual work which neither organisation could support. The question arises whether, in the future, systems could be put into place to make the exchange of information and the linkage of identifiers almost automatic.

将 ECRIN 元数据储存库与 BBMRI-ERIC 目录连接起来,以便将临床研究与相关的生物库和收藏库联系起来。
背景:将临床研究和在临床研究中产生的(生物样本)集合联系起来有很大价值。然而,链接问题很难解决,因为临床研究和相关样本库之间通常没有直接的参考资料:方法:BBMRI-ERIC 目录和 ECRIN 元数据存储库(MDR)已经包含了链接临床研究和相关样本集所需的大部分信息。在本研究中,我们介绍了在这两个系统的现有相应记录中查找和实现这些链接的工作。MDR 研究与 BBMRI-ERIC 目录中相关样本库之间的链接过程首先是探索双向链接--在 BBMRI-ERIC 目录中搜索候选点击,尝试与 MDR 记录链接;在 ECRIN MDR 中搜索候选点击,尝试与目录样本库链接。随后,对 BBMRI-ERIC 目录进行了系统搜索:结果:对两个方向的链接进行调查后,发现了数量有限但很有希望的链接。对目录进行系统搜索的结果确定了 202 项研究的关联,涉及 284 个文集:对现有数据源的分析表明,BBMRI-ERIC 和 ECRIN 资料库之间存在着联系,但如果不进行大量的手工工作,就很难持续识别和维护这些联系,而这两个组织都无法提供支持。问题是,将来是否可以建立一些系统,使信息交流和标识符的连接几乎实现自动 化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
1.50
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信