Data Challenges
Establishing a National Consortium for Data Science
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Topics of this game:
- There are four dimensions of data science challenges
- The dimensions of data science challenges are:
- There are twelve sub dimensions in data science challenges
- The sub dimensions of Data Flow are : collection, storage, preservation and movement
- This dimension of data science concerns factors intrinsic to the nature of data itself.
- concerns manipulating and recording data flow. Adding context and making data reusable and discoverable
- processes transform data into forms such as statistical summaries, reports, and graphics that describe the data
- volume, velocity, and variety present problems along all three dimensions of data science challenges.
- Three main components that will be critical to the success of the NCDS are :
- National ____________ for Data Science
- is the systematic study of digital data using scientific techniques of observation, theory development, systematic analysis, hypothesis testing, and rigorous validation
- is classified as data that exceeds the capacity of traditional systems.
- Challenges arise from the amount of data that must be processed.
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