Integrative Data Analysis: Applications Across Different Data Types
Thursday, May 24, 2012,
1:30 PM - 5:20 PM
Integrative data analysis (IDA) is a general term for a set of analytic techniques derived from combining or linking independent data sets together and analyzing them as a complete set. This is different from meta-analysis in the sense that one analyzes the actual data in IDA, not the statistical summaries of those data. IDA is a cost-effective way to do science and has the potential to move areas of science forward rapidly by building a cumulative knowledge base. It is an extremely topical issue given the unprecedented access to data that is now afforded to all researchers through cyberinfrastructure (i.e., Internet-based research environments) and a push from the Federal government to make data more accessible.
1. Learn about the conceptual and analytic issues involved with integrative data analysis
2. Observe applied guided examples of the types of integrative data analyses that can be done
3. Apply techniques learned to a prescribed dataset during a workshop