Replication—an important, uncommon, and misunderstood practice—is gaining
appreciation in psychology. Achieving replicability is important for making research …

The advent of large-scale datasets that trace the workings of science has encouraged
researchers from many different disciplinary backgrounds to turn scientific methods into …

Data sharing is one of the cornerstones of modern science that enables large-scale
analyses and reproducibility. We evaluated data availability in research articles across nine …

Registered Reports are a form of empirical publication in which study proposals are peer
reviewed and pre-accepted before research is undertaken. By deciding which articles are …

Data-driven and machine learning based approaches for detecting, categorising and
measuring abusive content such as hate speech and harassment have gained traction due …

For scientific discoveries to be valid—whether in theory or empirically—a phenomenon must
be accurately described: The scientist must use appropriate counterfactuals and eliminate …

A data-driven exploration of how children's language learning varies across different
languages, providing both a theoretical framework and reference. The Wordbank Project …

In many scientific disciplines, common research practices have led to unreliable and
exaggerated evidence about scientific phenomena. Here we describe some of these …

Efforts to make research results open and reproducible are increasingly reflected by journal
policies encouraging or mandating authors to provide data availability statements. As a …

Societies invest in scientific studies to better understand the world and attempt to harness
such improved understanding to address pressing societal problems. Published research …