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本文引用的文献

1
Use of the National Heart, Lung, and Blood Institute Data Repository.美国国立心肺血液研究所数据储存库的使用。
N Engl J Med. 2017 May 11;376(19):1849-1858. doi: 10.1056/NEJMsa1603542. Epub 2017 Mar 29.
2
Advantages of a Truly Open-Access Data-Sharing Model.真正开放获取的数据共享模式的优势。
N Engl J Med. 2017 Mar 23;376(12):1178-1181. doi: 10.1056/NEJMsb1702054.
3
Data Sharing - Is the Juice Worth the Squeeze?数据共享——挤出来的汁值得吗?
N Engl J Med. 2016 Oct 27;375(17):1608-1609. doi: 10.1056/NEJMp1610336.
4
The Yale Open Data Access (YODA) Project--A Mechanism for Data Sharing.耶鲁开放数据访问(YODA)项目——一种数据共享机制。
N Engl J Med. 2016 Aug 4;375(5):403-5. doi: 10.1056/NEJMp1607342.
5
Use of Open Access Platforms for Clinical Trial Data.开放获取平台在临床试验数据中的应用。
JAMA. 2016;315(12):1283-4. doi: 10.1001/jama.2016.2374.
6
Supporting open access to clinical trial data for researchers: The Duke Clinical Research Institute-Bristol-Myers Squibb Supporting Open Access to Researchers Initiative.支持研究人员开放获取临床试验数据:杜克临床研究所 - 百时美施贵宝支持研究人员开放获取倡议。
Am Heart J. 2016 Feb;172:64-9. doi: 10.1016/j.ahj.2015.11.002. Epub 2015 Nov 14.
7
Sharing Clinical Trial Data--A Proposal from the International Committee of Medical Journal Editors.分享临床试验数据——来自国际医学期刊编辑委员会的提议
N Engl J Med. 2016 Jan 28;374(4):384-6. doi: 10.1056/NEJMe1515172. Epub 2016 Jan 20.
8
Providing Contemporary Access to Historical Biospecimen Collections: Development of the NHLBI Biologic Specimen and Data Repository Information Coordinating Center (BioLINCC).为当代提供对历史生物样本库藏品的访问:美国国立心肺血液研究所生物样本与数据存储库信息协调中心(BioLINCC)的发展。
Biopreserv Biobank. 2015 Aug;13(4):271-9. doi: 10.1089/bio.2014.0050. Epub 2015 Jul 17.
9
The project data sphere initiative: accelerating cancer research by sharing data.项目数据领域计划:通过数据共享加速癌症研究
Oncologist. 2015 May;20(5):464-e20. doi: 10.1634/theoncologist.2014-0431. Epub 2015 Apr 15.
10
The prostate, lung, colorectal, and ovarian cancer screening trial and its associated research resource.前列腺癌、肺癌、结直肠癌和卵巢癌筛查试验及其相关研究资源。
J Natl Cancer Inst. 2013 Nov 20;105(22):1684-93. doi: 10.1093/jnci/djt281. Epub 2013 Oct 10.

临床试验中的数据共享:两项大型癌症筛查试验的经验

Data sharing in clinical trials: An experience with two large cancer screening trials.

作者信息

Zhu Claire S, Pinsky Paul F, Moler James E, Kukwa Andrew, Mabie Jerome, Rathmell Joshua M, Riley Tom, Prorok Philip C, Berg Christine D

机构信息

Division of Cancer Prevention, National Cancer Institute, Bethesda, Maryland, United States of America.

Information Management Services, Inc., Rockville, Maryland, United States of America.

出版信息

PLoS Med. 2017 May 23;14(5):e1002304. doi: 10.1371/journal.pmed.1002304. eCollection 2017 May.

DOI:10.1371/journal.pmed.1002304
PMID:28542201
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5441574/
Abstract

Paul Pinsky of the US National Cancer Institute and colleagues describe the implementation and outcomes of web-based data sharing from the PLCO and NLST cancer screening trials.

摘要

美国国家癌症研究所的保罗·平斯基及其同事描述了基于网络的数据共享在前列腺、肺癌、结直肠癌和卵巢癌筛查试验(PLCO)及国家肺癌筛查试验(NLST)中的实施情况和结果。