Git can facilitate greater reproducibility and increased transparency in science
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The case for open preprints in biologyA Quick Introduction to Version Control with Git and GitHubTen simple rules for organizing an unconferenceTen Simple Rules for Taking Advantage of Git and GitHubPyPedia: using the wiki paradigm as crowd sourcing environment for bioinformatics protocolsA study of institutional spending on open access publication fees in GermanyBest practices for assessing ocean health in multiple contexts using tailorable frameworksPhylesystem: a git-based data store for community-curated phylogenetic estimatesAssessing the reproducibility of discriminant function analyses.Problematic trial detection in ClinicalTrials.govData publication consensus and controversies.Open source drug discovery - a limited tutorialThe Tao of open science for ecologyDeveloping educational resources for population genetics in R: an open and collaborative approach.Sources of error in the retracted scientific literatureSequence database versioning for command line and Galaxy bioinformatics servers.Rapid learning for precision oncology.Imagining the "open" university: Sharing scholarship to improve research and education.Toward standard practices for sharing computer code and programs in neuroscience.Enhancing reproducibility in scientific computing: Metrics and registry for Singularity containers.Comparing and contrasting threat assessments of plant species at the global and sub-global levelStriving for transparent and credible research: practical guidelines for behavioral ecologists.Changing Trends in Computational Drug Repositioning.Computational Reproducibility in Archaeological Research: Basic Principles and a Case Study of Their ImplementationPackaging Data Analytical Work Reproducibly Using R (and Friends)A funder-imposed data publication requirement seldom inspired data sharingAdministrative social science data: The challenge of reproducible researchExcuse Me, Do You Have a Moment to Talk About Version Control?Git and GitHub for Librarianseddy4R 0.2.0: a DevOps model for community-extensible processing and analysis of eddy-covariance data based on R, Git, Docker, and HDF5DataPackageR: Reproducible data preprocessing, standardization and sharing using R/Bioconductor for collaborative data analysis
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Git can facilitate greater reproducibility and increased transparency in science
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2013 nî lūn-bûn
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Git can facilitate greater reproducibility and increased transparency in science
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Git can facilitate greater reproducibility and increased transparency in science
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Git can facilitate greater reproducibility and increased transparency in science
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Git can facilitate greater reproducibility and increased transparency in science
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Git can facilitate greater reproducibility and increased transparency in science
@ast
Git can facilitate greater reproducibility and increased transparency in science
@en
Git can facilitate greater reproducibility and increased transparency in science
@en-gb
Git can facilitate greater reproducibility and increased transparency in science
@nl
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Git can facilitate greater reproducibility and increased transparency in science
@ast
Git can facilitate greater reproducibility and increased transparency in science
@en
Git can facilitate greater reproducibility and increased transparency in science
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Git can facilitate greater reproducibility and increased transparency in science
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Git can facilitate greater reproducibility and increased transparency in science
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Karthik Ram
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10.1186/1751-0473-8-7
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2013-01-01T00:00:00Z
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1025494193