Data-driven science and technology offer transformative tools and methods to science. This
review article highlights the latest development and progress in the interdisciplinary field of …

Untargeted metabolomics is an analytical approach with numerous applications serving as
an effective metabolic phenotyping platform to characterize small molecules within a …

Data curation practices of the Crystallography Open Database (COD) are described with
additional focus being placed on the formal validation using the Crystallographic Information …

One of the pathways by which the scientific community confirms the validity of a new
scientific discovery is by repeating the research that produced it. When a scientific effort fails …

Collider data must be corrected for detector effects (“unfolded”) to be compared with many
theoretical calculations and measurements from other experiments. Unfolding is traditionally …

Reproducibility of scientific results is a key element of science and credibility. The lack of
reproducibility across many scientific fields has emerged as an important concern. In this …

This article presents a study on the quality and execution of research code from publicly-
available replication datasets at the Harvard Dataverse repository. Research code is …

Abstract Machine learning (ML) and artificial intelligence have proven to be an invaluable
tool in tackling a vast array of scientific, engineering, and societal problems. The main …

In this paper we propose a distributed architecture to provide machine learning practitioners
with a set of tools and cloud services that cover the whole machine learning development …

Computational and mathematical models in biology rely heavily on the parameters that
characterize them. However, robust estimates for their values are typically elusive and thus a …