The risk of accidental or deliberate misuse of biological research is increasing as
biotechnology advances. As open science becomes widespread, we must consider its …

Archaeologists increasingly use large radiocarbon databases to model prehistoric human
demography (also termed paleo-demography). Numerous independent projects, funded …

Simple Summary Populations of many marine species are threatened by a number of
interacting factors, including anthropogenic activities, climate change, and biodiversity loss …

The FAIR guiding principles aim to enhance the Findability, Accessibility, Interoperability
and Reusability of digital resources such as data, for both humans and machines. The …

In recent years, as newer technologies have evolved around the healthcare ecosystem,
more and more data have been generated. Advanced analytics could power the data …

Open data-sharing is a valuable practice that ought to enhance the impact, reach, and
transparency of a research project. While widely advocated by many researchers and …

Since their publication in 2016 we have seen a rapid adoption of the FAIR principles in
many scientific disciplines where the inherent value of research data and, therefore, the …

From 2014 to 2020, we compiled radiocarbon ages from the lower 48 states, creating a
database of more than 100,000 archaeological, geological, and paleontological ages that …

According to the FAIR principles, data produced by scientific research should be findable,
accessible, interoperable, and reusable—for instance, to be used in machine learning …

“FAIR enough”?... A question asked on a daily basis in the rapidly evolving field of open
science and the underpinning data stewardship profession. After the publication of the FAIR …