Generating Large-Scale Longitudinal Data Resources for Aging Research
Generating Large-Scale Longitudinal Data Resources for Aging Research
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DOI：
10.1093/geronb/gbr047
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发表时间：
2011-07-01
影响因子：
6.2
通讯作者：
Hofer, Scott M.
中科院分区：
文献类型：
--
作者：
Gallacher, John;Hofer, Scott M.
目标。讨论了大型研究的需求和大规模数据资源 (LSDR) 的类型，以及它们的一般科学实用性、在老龄化研究中的作用以及可负担性。描述了大规模数据资源方法的多样化，以促进其在老龄化研究中的使用。方法。对 LSDR 的需求是从以下方面讨论的：(a) 大样本量； (b) 纵向设计； (c) 作为额外研究者发起的研究项目的平台； (d) 广泛获取核心遗传、生物和表型数据。讨论。结论是，“低接触、低技术、低成本”的 LSDR 方法是 LSDR 发展的可行策略，并将提高建立致力于解决广泛的重要老龄化相关问题的 LSDR 的可能性。
Objectives. The need for large studies and the types of large-scale data resources (LSDRs) are discussed along with their general scientific utility, role in aging research, and affordability. The diversification of approaches to large-scale data resourcing is described in order to facilitate their use in aging research.Methods. The need for LSDRs is discussed in terms of (a) large sample size; (b) longitudinal design; (c) as platforms for additional investigator-initiated research projects; and (d) broad-based access to core genetic, biological, and phenotypic data.Discussion. It is concluded that a "lite-touch, lo-tech, lo-cost" approach to LSDRs is a viable strategy for the development of LSDRs and would enhance the likelihood of LSDRs being established which are dedicated to the wide range of important aging-related issues.