Good Enough Practices in Scientific Computing
A set of good computing practices that every researcher can adopt, regardless of their current level of computational skill.
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Brainstorming Is Not the Way to Discuss Scientific Issues
An intellectual free-for-all doesn’t lead to the common ground on which research can build.
Are Biomedical Researchers Forgetting Females?
Last year, NIH implemented a policy to push scientists to consider how sex affects biological systems. Critics worry it goes too far.
Is Most Published Research Really False?
Common underpinning problems with the scientific and data analytic practices and point to tools and behaviors that can be implemented to reduce the problems with published scientific results.
Reproducible Data-Driven Discovery
Chronicle of a two-day workshop curriculum to teach reproducible research using an interactive computational environment.
The Uncertainties of Scientific Measurements
A better understanding of uncertainty may help improve analysis and meta-analysis of data, and help scientists and the public have more realistic expectations of what scientific results imply.
Good Enough Practices in Scientific Computing
A set of computing tools and techniques that every researcher can and should adopt.
Best Practices for Scientific Computing
A set of best practices for scientific software development, based on research and experience, that will improve scientists' productivity and the reliability of their software.
Good Data Are Not Enough
A vibrant scientific culture encourages many interpretations of evidence.
Reproducibility and Reliability of Biomedical Research: Improving Research Practice
Reproducibility and Reliability of Biomedical Research: Improving Research Practice
Progress update from symposium sponsors: The Academy of Medical Sciences, the BBSRC, the MRC and Wellcome Trust.
It’s time for science to abandon the term ‘statistically significant’
It’s time for science to abandon the term ‘statistically significant’
Academic psychology and medical testing are both dogged by unreliability. The reason is clear: we got probability wrong.
The natural selection of bad science
Poor research design and data analysis encourage false-positive findings. Such poor methods persist despite perennial calls for improvement, suggesting that they result from something more than just misunderstanding.
Reproducibility: Archive computer code with raw data
Software tools such as knitr and R Markdown allow the description and code of a statistical analysis to be combined into a single document, providing a pipeline from the raw data to the final results and figures. Outputs are updated by re-running the scripts using version-control tools such as Git and GitHub.
Ten Simple Rules for Effective Statistical Practice
A list of 10 rules with researchers in mind: researchers having some knowledge of statistics, possibly with one or more statisticians available in their building, or possibly with a healthy do-it-yourself attitude and a handful of statistical packages on their laptops.
Psychologists grow increasingly dependent on online research subjects
Psychologists grow increasingly dependent on online research subjects
Scientists make greater use of online workers from Amazon Mechanical Turk, but practice raises concerns
What is sonification, and how can it speed discovery in science?
Scientific data might be filled with important things waiting to be discovered.
The forgotten half of scientific thinking
Although thinking is the core business of scientists, we rarely ponder how it thrives best; this is ironic, as there is abundant scientific insight to draw upon.
Science has lost its way, at a big cost to humanity
Researchers are rewarded for splashy findings, not for double-checking accuracy. So many scientists looking for cures to diseases have been building on ideas that aren't even true.
Trouble at the lab
Scientists like to think of science as self-correcting. To an alarming degree, it is not
How science goes wrong
Scientific research has changed the world. Now it needs to change itself.
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