Citations are ubiquitous in evaluating research, but how exactly they relate to what they are thought to measure is unclear. This article investigates the relationships between citations, quality, and impact using a survey with an embedded experiment.

Many of the words used by scientists when reviewing manuscripts, job candidates and grant applications - words such as incremental, novelty, mechanism, descriptive and impact - have lost their meaning.

This article proposes measures and policies which can be adopted by journals and publishers to promote good practices in data sharing.

A study suggests that the productivity and impact of gender differences are explained by different publishing career lengths and dropout rates. This inequality in academic publishing has important consequences for institutions and policy makers.

Inappropriate practices of science have been suggested as causes of irreproducibility. This editorial proposes that a lack of raw data or data fabrication is another possible cause of irreproducibility.

This paper presents a simple model of the lifecycle of scientific ideas that points to changes in scientist incentives as the cause of scientific stagnation. It explores ways to broaden how scientific productivity is measured and rewarded, involving both academic search engines such as Google Scholar measuring which contributions explore newer ideas and university administrators and funding agencies utilizing these new metrics in research evaluation.

Sprnger Nature partnered with Digital Science and figshare on the State of Open Data report 2019, the fourth annual report examining attitudes and experiences of researchers working with open data.

A new ALLEA report provides key recommendations to make digital data in the humanities. The document is designed as a practical guide to navigate the shift towards a sustainable data sharing culture.