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Thou Shalt Be Reproducible! A Technology Perspective

This article elaborates on reproducibility in psychology from a technological viewpoint. Modern open source computational environments are shown and explained that foster reproducibility throughout the whole research life cycle, and to which emerging psychology researchers should be sensitized, are...

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Detalles Bibliográficos
Autor principal: Mair, Patrick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4943952/
https://www.ncbi.nlm.nih.gov/pubmed/27471486
http://dx.doi.org/10.3389/fpsyg.2016.01079
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author Mair, Patrick
author_facet Mair, Patrick
author_sort Mair, Patrick
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description This article elaborates on reproducibility in psychology from a technological viewpoint. Modern open source computational environments are shown and explained that foster reproducibility throughout the whole research life cycle, and to which emerging psychology researchers should be sensitized, are shown and explained. First, data archiving platforms that make datasets publicly available are presented. Second, R is advocated as the data-analytic lingua franca in psychology for achieving reproducible statistical analysis. Third, dynamic report generation environments for writing reproducible manuscripts that integrate text, data analysis, and statistical outputs such as figures and tables in a single document are described. Supplementary materials are provided in order to get the reader started with these technologies.
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spelling pubmed-49439522016-07-28 Thou Shalt Be Reproducible! A Technology Perspective Mair, Patrick Front Psychol Psychology This article elaborates on reproducibility in psychology from a technological viewpoint. Modern open source computational environments are shown and explained that foster reproducibility throughout the whole research life cycle, and to which emerging psychology researchers should be sensitized, are shown and explained. First, data archiving platforms that make datasets publicly available are presented. Second, R is advocated as the data-analytic lingua franca in psychology for achieving reproducible statistical analysis. Third, dynamic report generation environments for writing reproducible manuscripts that integrate text, data analysis, and statistical outputs such as figures and tables in a single document are described. Supplementary materials are provided in order to get the reader started with these technologies. Frontiers Media S.A. 2016-07-14 /pmc/articles/PMC4943952/ /pubmed/27471486 http://dx.doi.org/10.3389/fpsyg.2016.01079 Text en Copyright © 2016 Mair. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Mair, Patrick
Thou Shalt Be Reproducible! A Technology Perspective
title Thou Shalt Be Reproducible! A Technology Perspective
title_full Thou Shalt Be Reproducible! A Technology Perspective
title_fullStr Thou Shalt Be Reproducible! A Technology Perspective
title_full_unstemmed Thou Shalt Be Reproducible! A Technology Perspective
title_short Thou Shalt Be Reproducible! A Technology Perspective
title_sort thou shalt be reproducible! a technology perspective
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4943952/
https://www.ncbi.nlm.nih.gov/pubmed/27471486
http://dx.doi.org/10.3389/fpsyg.2016.01079
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