The broad sharing of research data is widely viewed as critical for the speed, quality,
accessibility, and integrity of science. Despite increasing efforts to encourage data sharing …

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 …

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 …

FAIR data sharing is integral to spur research reproducibility, promote data reuse, and
accelerate research. However, the first step in using these data assets–discovering that they …

Digitization in the research domain refers to the increasing integration and analysis of
research information in the process of research data management. However, it is not clear …

Accessing research data at any time is what FAIR (Findable Accessible Interoperable
Reusable) data sharing aims to achieve at scale. Yet, we argue that it is not sustainable to …

The importance of software to modern research is well understood, as is the way in which
software developed for research can support or undermine important research principles of …

The FAIR Principles 1 (https://doi. org/10.25504/FAIRsharing. WWI10U) provide guidelines
for the publication of digital resources such as datasets, code, workflows, and research …

To improve the sharing and reuse of research software, the FAIR for Research Software
(FAIR4RS) Working Group has applied the FAIR Guiding Principles for scientific data …

Sometimes, experts in one field use terms not shared by others, or there may be
disagreement about which vocabulary is best suited for a specific aspect of research. As a …