Chair: Jessica Turner
The desire to do large-scale meta-analyses or mega-analyses across human neuroimaging datasets quickly runs into the issues of differences in study design, implementation, analyses, and reporting of results. Reproducibility of studies and analyses is a cornerstone of the scientific enterprise, yet methods sections in the published literature are usually woefully incomplete, lacking the needed detail to re-do the experiment. The data-sharing and meta-analytic efforts should facilitate replication in various senses of that term. The speakers in this workshop address the challenges of representing this information in data archives or semantic frameworks.
Session: Wednesday, August 28th 10:20-12:10