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 …

Citations are the cornerstone of knowledge propagation and the primary means of
assessing the quality of research, as well as directing investments in science. Science is …

There is an urgent need to improve the infrastructure supporting the reuse of scholarly data.
A diverse set of stakeholders—representing academia, industry, funding agencies, and …

Software is a critical part of modern research and yet there is little support across the
scholarly ecosystem for its acknowledgement and citation. Inspired by the activities of the …

There is an urgent need to improve the infrastructure supporting the reuse of scholarly data.
A diverse set of stakeholders—representing academia, industry, funding agencies, and …

Science is experiencing an ongoing reproducibility crisis. In light of this crisis, our objective
is to investigate whether machine learning platforms provide out-of-the-box reproducibility …

In many disciplines, data are highly decentralized across thousands of online databases
(repositories, registries, and knowledgebases). Wringing value from such databases …

This article presents a practical roadmap for scholarly publishers to implement data citation
in accordance with the Joint Declaration of Data Citation Principles (JDDCP), a synopsis …

Research data publishing is intended as the release of research data to make it possible for
practitioners to (re) use them according to “open science” dynamics. There are three main …

Background: Science is experiencing a reproducibility crisis. Artificial intelligence research
is not an exception. Objective: To give practical and pragmatic recommendations for how to …