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“NIDDK CDR 里有什么?”——NIDDK 中心数据存储库的公共查询工具。

'What's in the NIDDK CDR?'--public query tools for the NIDDK central data repository.

机构信息

RTI International, Social, Statistical and Environmental Sciences, PO Box 12194, Research Triangle Park, NC 27709, USA.

出版信息

Database (Oxford). 2013 Feb 8;2013:bas058. doi: 10.1093/database/bas058. Print 2013.

Abstract

The National Institute of Diabetes and Digestive Disease (NIDDK) Central Data Repository (CDR) is a web-enabled resource available to researchers and the general public. The CDR warehouses clinical data and study documentation from NIDDK funded research, including such landmark studies as The Diabetes Control and Complications Trial (DCCT, 1983-93) and the Epidemiology of Diabetes Interventions and Complications (EDIC, 1994-present) follow-up study which has been ongoing for more than 20 years. The CDR also houses data from over 7 million biospecimens representing 2 million subjects. To help users explore the vast amount of data stored in the NIDDK CDR, we developed a suite of search mechanisms called the public query tools (PQTs). Five individual tools are available to search data from multiple perspectives: study search, basic search, ontology search, variable summary and sample by condition. PQT enables users to search for information across studies. Users can search for data such as number of subjects, types of biospecimens and disease outcome variables without prior knowledge of the individual studies. This suite of tools will increase the use and maximize the value of the NIDDK data and biospecimen repositories as important resources for the research community. Database URL: https://www.niddkrepository.org/niddk/home.do.

摘要

美国国立糖尿病、消化疾病与肾病研究所(NIDDK)中央数据存储库(CDR)是一个可供研究人员和公众使用的基于网络的资源。CDR 存储了 NIDDK 资助研究的临床数据和研究文档,包括一些具有里程碑意义的研究,如糖尿病控制与并发症试验(DCCT,1983-93 年)和糖尿病干预与并发症的流行病学(EDIC,1994 年至今)后续研究,该研究已经进行了 20 多年。CDR 还存储了来自超过 700 万份生物样本的数据,代表了 200 万受试者。为了帮助用户探索 NIDDK CDR 中存储的大量数据,我们开发了一套名为公共查询工具(PQTs)的搜索机制。有五个单独的工具可用于从多个角度搜索数据:研究搜索、基本搜索、本体搜索、变量摘要和条件样本。PQT 使用户能够跨研究搜索信息。用户可以搜索数据,例如受试者数量、生物样本类型和疾病结局变量,而无需事先了解各个研究。这套工具将增加 NIDDK 数据和生物样本存储库的使用,并最大限度地提高其价值,使其成为研究社区的重要资源。数据库网址:https://www.niddkrepository.org/niddk/home.do。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7ce/3625049/c8d202773bc0/bas058f1p.jpg

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