EDDI Conference System, EDDI13 – 5th Annual European DDI User Conference

Font Size: 
Building a Harmonized Data Market for Longitudinal Data with MIDUS and DDI
Barry Radler, Jeremy Iverson, Dan Smith

Last modified: 2013-10-31

Abstract


Researchers who wish to use data from longitudinal studies or to replicate other's research must currently navigate thousands of variables across multiple waves and datasets to answer simple analysis questions. A tool that allows researchers to create documented and citable data extracts that are directly related to their queries would allow more time to be spent on public health research questions instead of data management.

MIDUS (Midlife in the United States) is a national longitudinal study of approximately 10,000 Americans designed to study aging as an integrated bio-psychosocial process. The study has a unique blend of social, health, and biomarker data collected over several decades.

In late 2013, the United States National Institutes of Health funded MIDUS to create a DDI-based, harmonized data extraction system. This tool will facilitate identification and harmonization of similar MIDUS variables, while enhancing the MIDUS online repository with a data extract function. This will accomplish something unprecedented: the ability to obtain customized cross-project downloads of harmonized MIDUS data that are DDI-compliant. Doing so will greatly enhance efficient and effective public use of the large longitudinal and multi-disciplinary datasets that comprise the MIDUS study.


Full Text: Slideshow
agario play agario agario unblocked agario followers