Computational Infrastructure
CSCD Research projects are supported by databases
(MySQL/NoSQL), computational services and high-throughput
processing workflow. In addition to the
UMich FLUX services, CSCD investigators have access to a
powerful 1.5TB RAM, 20TB
storage, 40-core SOCR Server facilitating storage, retrieval,
processing and visualization of heterogeneous data.
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Methodological Consulting
CSCD faculty provide consultations on study-designs,
methodological challenges and service recipients. For instance,
collectively the CSCD investigators have
broad and deep expertise in Scientifc Visualization, which is
essential in interrogating Big healthcare data.
Pilot
project investigators and other researchers are encouraged to contact the Center and discuss their
specific needs.
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Data Analytics
Data acquisition, management, aggregation, processing and
analysis are important components of all quantitative healthcare
studies. CSCD investigators provide support for data analytics,
high-throughput data analysis, protocol design, validation and
open-dissemination. You can see
here one example of a high-throughput data analytics workflow
(trans-proteomics pipeline).
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Training Opportunities
CSCD provides learning materials, instructional resources,
refreshers and self-guided activities supporting studies of
complexity, self-management of chronic disease, and data
analytics. The Center also periodically organizes training events and educational
activities.
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