Dr. Franco Pestilli from the Department of Psychology at UT Austin will give an in-person talk on Friday, March 3rd at 4pm in Oak Hall 408. If you are interested in attending the talk or meeting with Dr. Pestilli, please register here.
A public cloud platform to support neuroimaging research in the era of big data
Over the past years, the neuroimaging field has benefited tremendously from an influx in large-scale data collection and sharing efforts that have made it easier to study humans at the scale of populations. Advances in large-scale data-driven methods also address the major scientific need for rigor and reproducibility. However, the use of large datasets poses multiple new challenges for researchers. Traditionally, neuroimaging researchers have collected a few hours of neuroimaging data on a few dozens of subjects and analyzed it using laboratory computers and in-house data processing methods. Modern studies, by contrast, require the analysis of hundreds (if not thousands) of hours of data, with an accompanying move of data away from individual laboratory computers toward high-performance computing clusters and cloud systems. To help ensure the reproducibility and rigor of scientific results, the neuroimaging community has developed public archives for data deposition, data standards, and software libraries for data preprocessing and analysis. I will present a public resource, brainlife.io, which provides integrative web services to help piece together data, software, and hardware in support of simplicity, efficiency, transparency, and equity in big data neuroscience research. The vision of brainlife.io is to become a global interoperable and integrative platform connecting the multiple communities of software developers, hardware providers, and domain scientists via cloud services and technology to support the next generation of breakthroughs in neuroscience.
Co-sponsored by the Department of Neuroscience and the Cognitive Science Program.
For more information, contact: Roeland Hancock at birc@uconn.edu