ScienceGeist

Rather than focusing our study reports on uncertain conclusions, we should thus focus on describing accurately how the study was conducted, what problems occurred, and what analysis methods were used.

In recent years, increasing media exposure (measured by Altmetrics) did not relate to the equivalent citations as in earlier years; signaling a diminishing return on investment.

New axes of stratification are emerging in academic publishing, adding to the already complex tapestry of inequality in science. Authors working at lower-ranked universities are more likely to publish in closed/paywalled outlets, and less likely to choose outlets that involve some sort of Article Processing Charge (APCs; gold or hybrid OA).

The Code of Practice for Research Data Usage Metrics standardizes the generation and distribution of usage metrics for research data, enabling for the first time the consistent and credible reporting of research data usage.

For science to progress, we have to accept the inevitability of error.

PeerJ preprints that have grabbed the attention of the masses.

ReScience resides on GitHub where each new implementation of a computational study is made available together with comments, explanations, and software tests.

Comments on "Redefine statistical significance"

Why is is needed and how it can be achieved easily and cheaply.

Considerations of open access models that can work across disciplines. The case of ELife, PLoS, and BioOne.

Ideas and data can interact, and our work can certainly benefit from the bad ideas that, in the short-term, do not seem to directly benefit discovery. 

We describe curation projects as a new category of GitHub project that collects, evaluates, and preserves resources for software developers.

Understanding the potential effects of requiring that grantees publish their peer-reviewed research in open access journals.

The future of data science education in a data democratized world.

A forgotten experiment from the 1960s.

Guidelines for active and efficient data sharing between those generating data and those analyzing it.

Sci-Hub's contains 68.9% of all 81.6 million scholarly articles, which rises to 85.2% for those published in closed access journals and 77.0% of the 5.2 million articles published by inactive journals.