4.7 Article

Toward standard practices for sharing computer code and programs in neuroscience

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Editorial Material Biochemistry & Molecular Biology

A Practical Guide for Improving Transparency and Reproducibility in Neuroimaging Research

Krzysztof J. Gorgolewski et al.

PLOS BIOLOGY (2016)

Editorial Material Biochemical Research Methods

Ten Simple Rules for Taking Advantage of Git and GitHub

Yasset Perez-Riverol et al.

PLOS COMPUTATIONAL BIOLOGY (2016)

Article Biochemical Research Methods

A Quick Introduction to Version Control with Git and GitHub

John D. Blischak et al.

PLOS COMPUTATIONAL BIOLOGY (2016)

Article Multidisciplinary Sciences

The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments

Krzysztof J. Gorgolewski et al.

SCIENTIFIC DATA (2016)

Editorial Material Neurosciences

Better reporting for better research: a checklist for reproducibility

Amye Kenall et al.

BMC NEUROSCIENCE (2015)

Editorial Material Multidisciplinary Sciences

No more hidden solutions in bioinformatics

Mauno Vihinen

NATURE (2015)

Editorial Material Biotechnology & Applied Microbiology

Rebooting review

[Anonymous]

NATURE BIOTECHNOLOGY (2015)

Editorial Material Multidisciplinary Sciences

Promoting an open research culture

B. A. Nosek et al.

SCIENCE (2015)

Editorial Material Biology

Four aspects to make science open by design and not as an after-thought

Yaroslav O. Halchenko et al.

GIGASCIENCE (2015)

Editorial Material Geosciences, Multidisciplinary

Open code for open science?

Steve M. Easterbrook

NATURE GEOSCIENCE (2014)

Editorial Material Multidisciplinary Sciences

Promoting Transparency in Social Science Research

E. Miguel et al.

SCIENCE (2014)

Editorial Material Biochemistry & Molecular Biology

Best Practices for Scientific Computing

Greg Wilson et al.

PLOS BIOLOGY (2014)

Article Mathematical & Computational Biology

LEMS: a language for expressing complex biological models in concise and hierarchical form and its use in underpinning NeuroML 2

Robert C. Cannon et al.

FRONTIERS IN NEUROINFORMATICS (2014)

Article Mathematical & Computational Biology

Git can facilitate greater reproducibility and increased transparency in science

Karthik Ram

SOURCE CODE FOR BIOLOGY AND MEDICINE (2013)

Article Computer Science, Interdisciplinary Applications

Reproducible Research for Scientific Computing: Tools and Strategies for Changing the Culture

Randall J. LeVeque et al.

COMPUTING IN SCIENCE & ENGINEERING (2012)

Article Neurosciences

Making neurophysiological data analysis reproducible: Why and how?

Matthieu Delescluse et al.

JOURNAL OF PHYSIOLOGY-PARIS (2012)

Article Multidisciplinary Sciences

The case for open computer programs

Darrel C. Ince et al.

NATURE (2012)

Editorial Material Multidisciplinary Sciences

Shining Light into Black Boxes

A. Morin et al.

SCIENCE (2012)

Editorial Material Mathematical & Computational Biology

An invitation to reproducible computational research

David L. Donoho

BIOSTATISTICS (2010)

Editorial Material Multidisciplinary Sciences

Publish your computer code: it is good enough

Nick Barnes

NATURE (2010)

Article Computer Science, Interdisciplinary Applications

The Legal Framework for Reproducible Scientific Research Licensing and Copyright

Victoria Stodden

COMPUTING IN SCIENCE & ENGINEERING (2009)

Article Statistics & Probability

Statistical analyses and reproducible research

Robert Gentleman et al.

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2007)

Article Mathematical & Computational Biology

ModelDB: A database to support computational neuroscience

ML Hines et al.

JOURNAL OF COMPUTATIONAL NEUROSCIENCE (2004)