Format

Send to

Choose Destination
See comment in PubMed Commons below
J Gerontol B Psychol Sci Soc Sci. 2011 Jul;66 Suppl 1:i172-9. doi: 10.1093/geronb/gbr047.

Generating large-scale longitudinal data resources for aging research.

Author information

1
Department of Primary Care & Public Health, Neuadd Meirionnydd, Heath Park, Cardiff CF14 4YS, UK. gallacher@cf.ac.uk

Abstract

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.

PMID:
21743049
PMCID:
PMC3165456
DOI:
10.1093/geronb/gbr047
[Indexed for MEDLINE]
Free PMC Article
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Silverchair Information Systems Icon for PubMed Central
    Loading ...
    Support Center