An important hallmark of science is the transparency and reproducibility of scientific results. Over the last few years, internet-based technologies have emerged that allow for a representation of the scientific process that goes far beyond traditional methods and analysis descriptions. Using these often freely available tools requires a suite of skills that is not necessarily part of a curriculum in the life sciences. However, funders, journals, and policy makers increasingly require researchers to ensure complete reproducibility of their methods and analyses. To close this gap, we designed an introductory course that guides students towards a reproducible science workflow. Here, we outline the course content and possible extensions, report encountered challenges, and discuss how to integrate such a course in existing curricula.
%0 Journal Article
%1 10.1371/journal.pbio.2006022
%A Toelch, Ulf
%A Ostwald, Dirk
%D 2018
%I Public Library of Science
%J PLOS Biology
%K education open_science teaching
%N 7
%P 1-11
%R 10.1371/journal.pbio.2006022
%T Digital open science—Teaching digital tools for reproducible and transparent research
%U https://doi.org/10.1371/journal.pbio.2006022
%V 16
%X An important hallmark of science is the transparency and reproducibility of scientific results. Over the last few years, internet-based technologies have emerged that allow for a representation of the scientific process that goes far beyond traditional methods and analysis descriptions. Using these often freely available tools requires a suite of skills that is not necessarily part of a curriculum in the life sciences. However, funders, journals, and policy makers increasingly require researchers to ensure complete reproducibility of their methods and analyses. To close this gap, we designed an introductory course that guides students towards a reproducible science workflow. Here, we outline the course content and possible extensions, report encountered challenges, and discuss how to integrate such a course in existing curricula.
@article{10.1371/journal.pbio.2006022,
abstract = {An important hallmark of science is the transparency and reproducibility of scientific results. Over the last few years, internet-based technologies have emerged that allow for a representation of the scientific process that goes far beyond traditional methods and analysis descriptions. Using these often freely available tools requires a suite of skills that is not necessarily part of a curriculum in the life sciences. However, funders, journals, and policy makers increasingly require researchers to ensure complete reproducibility of their methods and analyses. To close this gap, we designed an introductory course that guides students towards a reproducible science workflow. Here, we outline the course content and possible extensions, report encountered challenges, and discuss how to integrate such a course in existing curricula.},
added-at = {2018-09-21T15:29:50.000+0200},
author = {Toelch, Ulf and Ostwald, Dirk},
biburl = {https://www.bibsonomy.org/bibtex/297bbbefbbe5c59246d70ca9fb8311f10/blostben},
doi = {10.1371/journal.pbio.2006022},
interhash = {104efc250f2e0ed1e8592596aded94ec},
intrahash = {97bbbefbbe5c59246d70ca9fb8311f10},
journal = {PLOS Biology},
keywords = {education open_science teaching},
month = {07},
number = 7,
pages = {1-11},
publisher = {Public Library of Science},
timestamp = {2018-09-21T15:29:50.000+0200},
title = {Digital open science—Teaching digital tools for reproducible and transparent research},
url = {https://doi.org/10.1371/journal.pbio.2006022},
volume = 16,
year = 2018
}