The study of the structure and function of neuronal cells and networks is of crucial
importance in the endeavor to understand how the brain works. A key component in this …

Geoscientists now live in a world rich with digital data and methods, and their computational
research cannot be fully captured in traditional publications. The Geoscience Paper of the …

The design of algorithms that generate personalized ranked item lists is a central topic of
research in the field of recommender systems. In the past few years, in particular …

An examination of the uses of data within a changing knowledge infrastructure, offering
analysis and case studies from the sciences, social sciences, and humanities.“Big Data” is …

Current research in biology uses evermore complex computational and imaging tools. Here
we describe Icy, a collaborative bioimage informatics platform that combines a community …

In this article, we present an account of the state of the art in acoustic scene classification
(ASC), the task of classifying environments from the sounds they produce. Starting from a …

We must all accept that science is data and that data are science, and thus provide for, and
justify the need for the support of, much‐improved data curation.(Hanson, Sugden, & …

While science policy promotes data sharing and open data, these are not ends in
themselves. Arguments for data sharing are to reproduce research, to make public assets …

Copy-move forgery is one of the most commonly used manipulations for tampering digital
images. Keypoint-based detection methods have been reported to be very effective in …

Reproducible research---by its many names---has come to be regarded as a key concern
across disciplines and stakeholder groups. Funding agencies and journals, professional …