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Reproducible research practices: A tool for effective and efficient leadership in collaborative statistics.

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This study integrates leadership principles with reproducible research practices in statistics. It proposes using stewardship agreements to foster team accountability and a collaborative coding culture for enhanced accuracy.

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Area of Science:

  • Statistics
  • Research Methodology
  • Organizational Psychology

Background:

  • Increasing prevalence of data and code sharing policies.
  • Growing adoption of version control systems in statistical research.
  • Need for advanced reproducible research practices to match research velocity.

Purpose of the Study:

  • To propose a framework combining leadership practices with reproducible research in collaborative statistics.
  • To enhance quality and accuracy in statistical research through improved team dynamics.
  • To foster stewardship and autonomy among research team members.

Main Methods:

  • Establishing a framework for reproducible statistical research expectations.
  • Introducing Stephen M.R. Covey's theory of trusting and inspiring leadership.
  • Applying stewardship agreements to promote reproducible coding as a team norm.

Main Results:

  • Demonstration of a code example illustrating the proposed method.
  • Highlighting the creation of a collaborative, non-evaluative team culture.
  • Empowering team members to hold themselves accountable for reproducible practices.

Conclusions:

  • The integration of leadership theory and reproducible research practices offers a novel approach for statistical teams.
  • Stewardship agreements can effectively establish reproducible coding as a standard team practice.
  • Encouraging statisticians to develop intentional leadership approaches can improve research quality and collaboration.