Quality, quantity and harmony: the DataSHaPER approach to integrating data across bioclinical studies.
Quality, quantity and harmony: the DataSHaPER approach to integrating data across bioclinical studies.
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DOI：
10.1093/ije/dyq139
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发表时间：
2010-10
影响因子：
7.7
通讯作者：
Hudson TJ
中科院分区：
文献类型：
--
作者：
Fortier I;Burton PR;Robson PJ;Ferretti V;Little J;L'Heureux F;Deschênes M;Knoppers BM;Doiron D;Keers JC;Linksted P;Harris JR;Lachance G;Boileau C;Pedersen NL;Hamilton CM;Hveem K;Borugian MJ;Gallagher RP;McLaughlin J;Parker L;Potter JD;Gallacher J;Kaaks R;Liu B;Sprosen T;Vilain A;Atkinson SA;Rengifo A;Morton R;Metspalu A;Wichmann HE;Tremblay M;Chisholm RL;Garcia-Montero A;Hillege H;Litton JE;Palmer LJ;Perola M;Wolffenbuttel BH;Peltonen L;Hudson TJ
背景 为了理清决定慢性病病因和进展的遗传、生活方式、环境和社会因素之间复杂的相互作用，大量样本量通常至关重要。因此，研究之间的信息汇集对于当代生物科学至关重要。然而，如果要实现有效、有效的汇总分析，还需要克服许多技术、伦理法律和科学挑战。也许最关键的是，以这种方式分析的任何数据都必须充分“协调”。这意味着信息和数据的收集和记录必须以不同研究中足够相似的方式进行，以便进行有效的综合。方法这篇概念性文章描述了 DataSHAPER（流行病学研究数据模式和协调平台；http://www.datashaper.org）的起源、目的和科学基础，该平台是由一个多学科专家联盟创建的，该联盟由三个国际组织：P3G（基因组学公共人口项目）、PHOEBE（促进欧洲流行病学生物库的协调）和 CPT（加拿大合作伙伴关系）共同组建并协调。明天的项目）。结果 DataSHAPER 提供了一种灵活、结构化的方法来协调和汇集研究之间的信息。它的两个主要组成部分“数据模式”和“协调平台”共同支持有效数据收集协议的准备，并提供促进协调的中央参考。 DataSHAPER 支持“前瞻性”和“回顾性”协调。结论 希望本文能够鼓励读者进一步研究该项目：研究小组和研究积极参与的越多，DataSHAPER 计划最终就会越有效。
Background Vast sample sizes are often essential in the quest to disentangle the complex interplay of the genetic, lifestyle, environmental and social factors that determine the aetiology and progression of chronic diseases. The pooling of information between studies is therefore of central importance to contemporary bioscience. However, there are many technical, ethico-legal and scientific challenges to be overcome if an effective, valid, pooled analysis is to be achieved. Perhaps most critically, any data that are to be analysed in this way must be adequately ‘harmonized’. This implies that the collection and recording of information and data must be done in a manner that is sufficiently similar in the different studies to allow valid synthesis to take place. Methods This conceptual article describes the origins, purpose and scientific foundations of the DataSHaPER (DataSchema and Harmonization Platform for Epidemiological Research; http://www.datashaper.org), which has been created by a multidisciplinary consortium of experts that was pulled together and coordinated by three international organizations: P3G (Public Population Project in Genomics), PHOEBE (Promoting Harmonization of Epidemiological Biobanks in Europe) and CPT (Canadian Partnership for Tomorrow Project). Results The DataSHaPER provides a flexible, structured approach to the harmonization and pooling of information between studies. Its two primary components, the ‘DataSchema’ and ‘Harmonization Platforms’, together support the preparation of effective data-collection protocols and provide a central reference to facilitate harmonization. The DataSHaPER supports both ‘prospective’ and ‘retrospective’ harmonization. Conclusion It is hoped that this article will encourage readers to investigate the project further: the more the research groups and studies are actively involved, the more effective the DataSHaPER programme will ultimately be.
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影响因子：
7.7
作者：
Blettner, M;Sauerbrei, W;Friedenreich, C
通讯作者：
Friedenreich, C
影响因子：
56.9
作者：
Frayling, Timothy M.;Timpson, Nicholas J.;McCarthy, Mark I.
通讯作者：
McCarthy, Mark I.
影响因子：
64.8
作者：
Gibbs, RA;Belmont, JW;Tanaka, T
通讯作者：
Tanaka, T
影响因子：
64.8
作者：
Collins, FS;Green, ED;Guyer, MS
通讯作者：
Guyer, MS
DOI：
10.1073/pnas.0903103106
发表时间：
2009-06-09
影响因子：
11.1
作者：
Hindorff, Lucia A.;Sethupathy, Praveen;Manolio, Teri A.
通讯作者：
Manolio, Teri A.