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Sharing is caring, but is privacy theft?

Open Science (OS) is a movement toward increased sharing among scientists of their data, their materials, their computer code, their papers, and their peer reviews. The ultimate goal of this movement is to boost collaborative progress and bring greater transparency. Scientists might more rapidly build on results of others and help each other spot errors.
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Climate Science take note: New gold standard established for open and reproducible research

Academics / General Science : Watts Up With That?

From the University of Cambridge: A group of Cambridge computer scientists have set a new gold standard for openness and reproducibility in research by sharing the more than 200GB of data and 20,000 lines of code behind their latest...

Another uncertainty for climate models – different results on different computers using the same code

Academics / General Science : Watts Up With That?

New peer reviewed paper finds the same climate model produces different results when run on different computers Did you ever wonder how spaghetti like this is produced and why there is broad disagreement in the output that increases...

Publishing: Journals could share peer-review data

Academics : Nature

Before dispensing with peer review in favour of open science, responsible scientists need to do everything they can to improve this centuries-old system. Our experience shows that journals that share information on all aspects of th...

Computational materials: Open data settled in materials theory

Academics : Nature

Your concerns over impediments to data sharing (Nature546, 327; 201710.1038/546327a) are no longer an issue in computational materials science. This is because the Novel Materials Discovery project (NOMAD; https://nomad-coe.eu) has ...

Big data methods learn the fitness landscape of the HIV Envelope protein

Academics / General Science : EurekAlert: Technology Engineering

(Hong Kong University of Science and Technology) Data scientists from the HKUST and their collaborators from MIT have employed a computational approach to estimate the fitness landscape of gp160, the polyprotein that comprises HIV's...

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