Bayesian statistics is an approach to data analysis based on Bayes' theorem, where
available knowledge about parameters in a statistical model is updated with the information …

Peer review of research articles is a core part of our scholarly communication system. In
spite of its importance, the status and purpose of peer review is often contested. What is its …

Scientific software is a fundamental player in modern science, participating in all stages of
scientific knowledge production. Software occasionally supports the development of trivial …

The FAIR Guiding Principles, published in 2016, aim to improve the findability, accessibility,
interoperability and reusability of digital research objects for both humans and machines …

This study investigates the use, citation and diffusion of three bibliometric map** software
tools (CiteSpace, HistCite and VOSviewer) in scientific papers. We first conduct a content …

The notion that data should be Findable, Accessible, Interoperable and Reusable, according
to the FAIR Principles, has become a global norm for good data stewardship and a …

Context: Modern societies are highly dependent on complex, large-scale, software-intensive
systems that increasingly operate within an environment of continuous availability, which are …

This paper reflects on a number of trends towards a more open and reproducible approach
to geographic and spatial data science over recent years. In particular, it considers trends …

Topic modeling using models such as Latent Dirichlet Allocation (LDA) is a text mining
technique to extract human-readable semantic “topics”(ie, word clusters) from a corpus of …

The act of sharing scientific knowledge is rapidly evolving away from traditional articles and
presentations to the delivery of executable objects that integrate the data and computational …