Transcript The Center For Data Insight

Vision
The scientific community is poised on the edge of a
new era with respect to data handling and analysis.
Over the last seven years, the Center for Data
Insight has offered leading edge data mining,
machine learning, and automated analysis
technologies to many clients in the business realm
to answer a wide range of questions. Now, as the
scientific community begins to embrace more fully
the same structured data storage technologies that
business has over the past ten years, they become
more able to utilize the CDI’s data analysis
capabilities.
Background: A Lesson From
The Business World
Data Silos:
Financial
Data
Financial Reports
Production
Data
Production Reports
Customer
Data
Customer Reports
Etc.
Etc.
Next Stage:
Incorporate Database Technology
Data Silos:
Financial
Data
Production
Data
Customer
Data
Etc.
Database
All Data
Queries
Shape Data For
Analysis and Accessibility
Decision Support
Database
Data Mining
OLAP
Web Access
Data Marts
Scientific Parallel:
Current Situation
Data Silos:
Genetic
Research
Genetic Analysis
Remote
Sensing
Environmental
Analysis
Ecological
Research
Ecological Analysis
Etc.
Etc.
Next Stage: Incorporate
Database Technology
Data Silos:
Genetic
Research
Database
Remote
Sensing
Ecological
Research
Etc.
Data Goal
Comprehensive Research
Database
Integrated
Interdisciplinary
Analysis
Web Access
Custom Applications
Data Marts
Data Mining
OLAP
Plan Of Action
• This cross-disciplinary integration is a
large undertaking so we will start small at
first
– Integrate data one piece at a time
– Over time, the amount of centralized data will
grow
• The first step will be to inventory all
existing datasets and all potential datasets
Conclusion
• The CDI is able to supply a very advanced skill set
to support research, development, and education
• The CDI brings to bear skills for developing
systems, technologies and methodologies for
integrated regional databases that contain data from
all disciplines
• The CDI can also lead or aid in the development of
new mechanisms for organizing, accessing and
analyzing scientific data. The results of such an
effort would provide a unique opportunity for crossdisciplinary research.