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Vision

Vision.

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Vision

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  1. 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.

  2. Financial Reports Financial Data Production Data Production Reports Customer Data Customer Reports Etc. Etc. Background: A Lesson From The Business World Data Silos:

  3. Financial Data Database Production Data Customer Data Etc. Next Stage: Incorporate Database Technology Data Silos: All Data Queries

  4. Decision Support Database Data Mining OLAP Web Access Data Marts Shape Data For Analysis and Accessibility

  5. Genetic Research Genetic Analysis Remote Sensing Environmental Analysis Ecological Research Ecological Analysis Etc. Etc. Scientific Parallel: Current Situation Data Silos:

  6. Genetic Research Database Remote Sensing Ecological Research Etc. Next Stage: Incorporate Database Technology Data Silos:

  7. Database Data Goal Comprehensive Research Integrated Interdisciplinary Analysis Web Access Custom Applications Data Marts Data Mining OLAP

  8. 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

  9. 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 cross-disciplinary research.

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