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Refining the Concept of Scientific Inference When Working with Big Data

  • Category: Computer
  • Author: Ben A. Wender, et al
  • Pages: 114 Pages
  • File type: PDF Files

Read and download free eBook intituled Refining the Concept of Scientific Inference When Working with Big Data in format PDF Files – 114 Pages created by Ben A. Wender, et al.

The concept of utilizing big data to enable scientific discovery has generated tremendous excitement and investment from both private and public sectors over the past decade, and expectations continue to grow.

Using big data analytics to identify complex patterns hidden inside volumes of data that have never been combined could accelerate the rate of scientific discovery and lead to the development of beneficial technologies and products. However, producing actionable scientific knowledge from such large, complex data sets requires statistical models that produce reliable inferences (NRC, 2013).

Without careful consideration of the suitability of both available data and the statistical models applied, analysis of big data may result in misleading correlations and false discoveries, which can potentially undermine confidence in scientific research if the results are not reproducible.

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Refining the Concept of Scientific Inference When Working with Big Data

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