Usage of the National Cancer Institute Cancer Research Data Commons by Researchers: A Scoping Review of the Literature.

IF 3.3 Q2 ONCOLOGY JCO Clinical Cancer Informatics Pub Date : 2024-11-01 Epub Date: 2024-11-13 DOI:10.1200/CCI.24.00116
Zhaoyi Chen, Erika Kim, Tanja Davidsen, Jill S Barnholtz-Sloan
{"title":"Usage of the National Cancer Institute Cancer Research Data Commons by Researchers: A Scoping Review of the Literature.","authors":"Zhaoyi Chen, Erika Kim, Tanja Davidsen, Jill S Barnholtz-Sloan","doi":"10.1200/CCI.24.00116","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Over the past decade, significant surges in cancer data of all types have happened. To promote sharing and use of these rich data, the National Cancer Institute's Cancer Research Data Commons (CRDC) was developed as a cloud-based infrastructure that provides a large, comprehensive, and expanding collection of cancer data with tools for analysis. We conducted this scoping review of articles to provide an overview of how CRDC resources are being used by cancer researchers.</p><p><strong>Methods: </strong>A thorough literature search was conducted to identify all relevant publications. We included publications that directly cited CRDC resources to specifically examine the impact and contributions of CRDC by itself. We summarized the distributions and trends of how CRDC components were used by the research community and discussed current research gaps and future opportunities.</p><p><strong>Results: </strong>In terms of CRDC resources used by the research community, encouraging trends in utilization were observed, suggesting that CRDC has become an important building block for fostering a wide range of cancer research. We also noted a few areas where current applications are rather lacking and provided insights on how improvements can be made by CRDC and research community.</p><p><strong>Conclusion: </strong>CRDC, as the foundation of a National Cancer Data Ecosystem, will continue empowering the research community to effectively leverage cancer-related data, uncover novel strategies, and address the needs of patients with cancer, ultimately combatting this disease more effectively.</p>","PeriodicalId":51626,"journal":{"name":"JCO Clinical Cancer Informatics","volume":"8 ","pages":"e2400116"},"PeriodicalIF":3.3000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11575903/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JCO Clinical Cancer Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1200/CCI.24.00116","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/11/13 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose: Over the past decade, significant surges in cancer data of all types have happened. To promote sharing and use of these rich data, the National Cancer Institute's Cancer Research Data Commons (CRDC) was developed as a cloud-based infrastructure that provides a large, comprehensive, and expanding collection of cancer data with tools for analysis. We conducted this scoping review of articles to provide an overview of how CRDC resources are being used by cancer researchers.

Methods: A thorough literature search was conducted to identify all relevant publications. We included publications that directly cited CRDC resources to specifically examine the impact and contributions of CRDC by itself. We summarized the distributions and trends of how CRDC components were used by the research community and discussed current research gaps and future opportunities.

Results: In terms of CRDC resources used by the research community, encouraging trends in utilization were observed, suggesting that CRDC has become an important building block for fostering a wide range of cancer research. We also noted a few areas where current applications are rather lacking and provided insights on how improvements can be made by CRDC and research community.

Conclusion: CRDC, as the foundation of a National Cancer Data Ecosystem, will continue empowering the research community to effectively leverage cancer-related data, uncover novel strategies, and address the needs of patients with cancer, ultimately combatting this disease more effectively.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
研究人员对美国国家癌症研究所癌症研究公共数据的使用:文献综述》。
目的:过去十年间,各类癌症数据激增。为了促进这些丰富数据的共享和使用,美国国立癌症研究所(National Cancer Institute)开发了癌症研究数据公共平台(Cancer Research Data Commons,CRDC),作为一个基于云的基础设施,它提供了大量全面且不断扩展的癌症数据,并附带分析工具。我们对相关文章进行了综述,以概述癌症研究人员如何使用 CRDC 资源:我们进行了全面的文献检索,以确定所有相关出版物。我们纳入了直接引用 CRDC 资源的出版物,以具体研究 CRDC 本身的影响和贡献。我们总结了研究界如何使用 CRDC 组件的分布情况和趋势,并讨论了当前的研究差距和未来的机会:就研究界使用 CRDC 资源的情况而言,我们观察到了令人鼓舞的使用趋势,这表明 CRDC 已成为促进广泛癌症研究的重要基石。我们还注意到当前应用相当缺乏的几个领域,并就 CRDC 和研究界如何改进提供了见解:作为国家癌症数据生态系统的基础,CRDC 将继续增强研究界的能力,以有效利用癌症相关数据、发现新策略并满足癌症患者的需求,最终更有效地防治这一疾病。
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 去求助
来源期刊
CiteScore
6.20
自引率
4.80%
发文量
190
期刊最新文献
Development, Validation, and Clinical Utility of Electronic Patient-Reported Outcome Measure-Enhanced Prediction Models for Overall Survival in Patients With Advanced Non-Small Cell Lung Cancer Receiving Immunotherapy. Metastatic Versus Localized Disease as Inclusion Criteria That Can Be Automatically Extracted From Randomized Controlled Trials Using Natural Language Processing. Identifying Oncology Patients at High Risk for Potentially Preventable Emergency Department Visits Using a Novel Definition. Use of Patient-Reported Outcomes in Risk Prediction Model Development to Support Cancer Care Delivery: A Scoping Review. Optimizing End Points for Phase III Cancer Trials.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1