title: Generating large-scale longitudinal data resources for aging research.
abstract: OBJECTIVE
  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.
  
  
  CONCLUSIONS
  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.
authors: Department of Primary Care & Public Health, Neuadd Meirionnydd, Heath Park, Cardiff CF14 4YS, UK. gallacher@cf.ac.uk
authors: John
authors: J
authors: Gallacher
authors: Scott M
authors: SM
authors: Hofer
mesh_terms: D000375:Aging; D015984:Causality; D003627:Data Interpretation, Statistical; D019992:Databases as Topic; D056726:Genetic Association Studies / Q000379:methods; D006801:Humans; D008137:Longitudinal Studies / Q000379:methods* / Q000706:statistics & numerical data; D012107:Research Design; D018401:Sample Size