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A practical guide to big data.

Ekaterina Smirnova1, Andrada Ivanescu2, Jiawei Bai3

  • 1Assistant Professor, Department of Mathematical Sciences, University of Montana, 32 Campus Dr, Missoula, MT 59812.

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Summary
This summary is machine-generated.

Big Data presents new challenges in scientific research. This tutorial guides adapting academic culture and biostatistics methods to ensure continued impact in the era of big data analysis.

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Area of Science:

  • Biostatistics
  • Data Science
  • Scientific Research

Background:

  • The increasing prevalence of Big Data in scientific research necessitates adaptation.
  • Traditional biostatistical approaches may require adjustments to remain effective.
  • Academic culture needs to evolve to support data-intensive research.

Purpose of the Study:

  • To provide a tutorial for adapting to Big Data in scientific research.
  • To outline necessary adjustments in academic culture for biostatisticians.
  • To ensure the continued impact of biostatistics in the face of data growth.

Main Methods:

  • Review of current trends in Big Data and scientific analysis.
  • Discussion of challenges and opportunities for biostatistics.
  • Recommendations for adapting methodologies and academic practices.

Main Results:

  • Identified key areas where biostatistics must evolve.
  • Proposed strategies for integrating Big Data tools and techniques.
  • Highlighted the importance of cultural shifts within academic institutions.

Conclusions:

  • Biostatistics can maintain its impact by embracing Big Data.
  • Adaptation requires both methodological and cultural changes.
  • Proactive adjustments will ensure biostatistics remains central to scientific discovery.