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Open Science -- Resources for the UWISTA Researcher (UWISTA): Reproducible Research and Data Analysis

Tools -- General

Source: https://opensciencemooc.eu/modules/reproducible-research-and-data-analysis/

Online repositories for open hardware

PLOS open source toolkit channel
Open Neuroscience
Open Plant Science
Appropedia
DocuBricks
Hackaday.io
Bio-protocol, a peer reviewed protocol journal
BMJ Open Science, a new journal that aims to improve the transparency, integrity and reproducibility of biomedical research
Evernote
Labguru
sciNote
AsPredicted
The Sci-Gaia Open Science Platform
Improving your statistical inferences, Daniel Lakens
Open Stats Lab, Kevin McIntyre
R for Data Science
R tutorial: Introduction to cleaning data with R, DataCamp
Nextflow, open source tool than enables reproducible and portable computational workflows across cloud and clusters

Virtual Machines

Docker
Vagrant
BinderHub
nteract.io
Binder Documentation for creating custom computing environments that can be shared and used by multiple remote users
Statcheck, GRIM
Scienceroot, the first blockchain-based scientific ecosystem

Existing reproducible research workshops/practical resources

Reproducible Research, Workshop, CC-BY, April Clyburne-Sherin & Courtney Soderberg
Initial steps towards reproducible research. Karl Broman
The Open Science and Reproducible Research course, CC-BY, Christie Bahlai
Reproducibility Workshop, Best practices and easy steps to save time for yourself and other researchers, Code Ocean
Reproducibility in Science: A guide to enhancing reproducibility in scientific results and writing,ROpenSci
Reproducible Research using Jupyter Notebooks workshop, The Carpentries
R markdown workshop, (Liberate Science)
rrtools: Tools for Writing Reproducible Research in R, Ben Marwick
ReproZip, an Open source tool for full computational reproducibility
Software Carpentry and Data Carpentry lessons
Jupyter notebooks and JupyterLab, R Markdown, Stencila