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Sharing and organizing research products as R packages.

Matti Vuorre1, Matthew J C Crump2

  • 1Oxford Internet Institute, University of Oxford, 1 St Giles, Oxford, OX1 3JS, UK. matti.vuorre@oii.ox.ac.uk.

Behavior Research Methods
|September 3, 2020
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Summary
This summary is machine-generated.

Researchers can improve data sharing and reproducibility by using the R package standard. This method ensures research assets are accessible, permanent, and easy for others to reproduce and extend computations.

Keywords:
Open dataOpen scienceRReproducibilityResearch methods

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Area of Science:

  • Psychological Science
  • Computational Science
  • Data Science

Background:

  • A growing consensus emphasizes the importance of open data and reproducible code in research.
  • Sharing research assets effectively requires balancing reproducibility, permanence, and accessibility.
  • Current methods for sharing research data and code may not be easily adopted by busy researchers.

Purpose of the Study:

  • To propose a practical and effective solution for sharing research assets that maximizes reproducibility, permanence, and accessibility.
  • To advocate for the adoption of the R package standard as a robust method for curating and communicating research data and code.
  • To introduce a suite of R resources and a specific package ('vertical') designed to streamline the creation of reproducible research workflows.

Main Methods:

  • The study proposes the R package standard as a format for organizing research assets and associated metadata.
  • It discusses extensions to the R package standard to enhance its utility for reproducibility and open access.
  • The authors introduce and detail the functionality of the 'vertical' R package, integrated within the RStudio environment, to facilitate reproducible workflows.

Main Results:

  • The R package standard, with proposed extensions, provides a software-agnostic format for research assets and metadata.
  • This standard facilitates the creation of persistent, accessible, and reproducible research materials.
  • The 'vertical' R package and associated R resources offer a practical stack for researchers to manage reproducible workflows from experiment to manuscript.

Conclusions:

  • The R package standard offers a viable solution for enhancing the sharing of research assets, promoting reproducibility and open science.
  • The proposed tools and workflow integrations can significantly increase the openness and reproducibility of scientific research, particularly in psychological science.
  • Adoption of these methods can lead to more robust, verifiable, and extensible scientific findings.