ARC-TS contributes to successful fNIRS workshop

By | General Interest, Happenings, HPC, News | No Comments

The Center for Human Growth and Development (CHGD) held a workshop on functional near-infrared spectroscopy (fNIRS), a form of neuroimaging, with a special focus on pediatric applications. The workshop was sponsored by units at U-M, as well as units from Eastern Michigan University and Gallaudet University. It was attended by 50 people from as far away as Texas, and included research talks, instructional sessions, and hands-on experience with fNIRS data processing. The workshop was the first of its kind at U-M.

CHGD, ARC-TS, and LSA IT staff collaborated to provide a remote neuroimaging computing environment, which included a graphical interface, access to Matlab, and a suite of fNIRS software, that was accessed from participants’s laptops during the workshop. The attendees rated the practice exercises done via the computing environment one of the most important components of the workshop.

ARC-TS was pleased to be able to contribute to training in computational tools needed for emerging methods in neuroimaging. For more information about the fNIRS workshop, please see http://chgd.umich.edu/facilities-resources/developmental-neuroscience-laboratories/fnirs/fnirs-workshop/

New private insurance claims dataset and analytic support now available to health care researchers

By | General Interest, Happenings, HPC, News | No Comments

The Institute for Healthcare Policy and Innovation (IHPI) is partnering with Advanced Research Computing (ARC) to bring two commercial claims datasets to campus researchers.

The OptumInsight and Truven Marketscan datasets contain nearly complete insurance claims and other health data on tens of millions of people representing the US private insurance population. Within each dataset, records can be linked longitudinally for over 5 years.  

To begin working with the data, researchers should submit a brief analysis plan for review by IHPI staff, who will create extracts or grant access to primary data as appropriate.

CSCAR consultants are available to provide guidance on computational and analytic methods for a variety of research aims, including use of Flux and other UM computing infrastructure for working with these large and complex repositories.

Contact Patrick Brady (pgbrady@umich.edu) at IHPI or James Henderson (jbhender@umich.edu) at CSCAR for more information.

The data acquisition and availability was funded by IHPI and the U-M Data Science Initiative.