Grant: Canada Research Chairs

Reproducibility, the ability to re-generate results obtained by other researchers, is a fundamental principle of the scientific method. Recently, however, numerous studies have challenged the reproducibility of computational experiments in various disciplines, questioning the validity of a wide range of scientific findings. The goal of my research program is to advance Big Data infrastructures to ensure computational reproducibility in the neuroinformatics domain. I will focus particularly on three axes: (1) reproducibility evaluations of data analysis pipelines across infrastructures, (2) automated deployment and configuration of high-performance pipelines, (3) decentralized sharing of Big Data analyses across Web platforms.