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Welcome to the informatics wiki!

What is informatics? We're your research partners, working with OU Researchers to understand computational workflow challenges, and make recommendations for available resources, tools, best practices and future directions to enable data intensive science.

We're evangelists for low-cost/no-cost open source tools. We're constantly surveying the outside ecosystem for tools and capabilities that can be mapped to OU researcher's needs.

Training

We provide periodic training activities for OU researchers, their students and collaborators. These include, but are not limited to:

• Software Carpentry
• Git and GitHub for collaboration
• Custom Course modules and Labs
• Cloud Computing
• Guest lecturing

References

• Programming Resources
• UNIX Links

Informatics Services

• Task Queue - Web APIs for scientific code
• Data Catalog - Metadata and data access
• OU Research Cloud - Virtual Machines for scientific workloads.

Informatics Labs

These are some experimental projects we're working on that may turn into service offerings in the future

• Docker
• Hadoop
• Spark - Big Data processing in-memory
• Mesos - Operating system for your data/center/cluster

General Tool stack

Some of the tools and open source projects we use most in our tool stack are:

• Python - A general purpose programming language with excellent capabilities.
• Statistics - Tools for statistical analysis
• Celery - Python niceties for async task queueing
• MongoDB - NoSQL Database
• Postgresql - Relational Database
• Django Restful - A Python Django interface for rapidly building RESTful web APIs.

Portfolio

• MGMIC
• EcoPad
• USDA Grazing CAP
• EPSCoR Track-I
• Oklahoma Water Survey
• Oklahoma Biological Survey
• EOMF - Earth Observation Modeling Facility
• TAGS - Totally Awesome Geolocator Service
• CyberCommons

Tools

Digital Humanities

• Text Analysis
• Optical Character Recognition - OCR