Overcoming challenges to data and software attribution throughout the research workflow: a publisher perspective

In an era when research is increasingly interdisciplinary and when the use of AI and ML methods across the Earth, space, and environmental science continues to grow, the importance of FAIR data is clear. The community has worked to elevate the importance of outputs beyond the research article; publishers, including the American Geophysical Union, now require authors to share data and code alongside their research articles in an effort to increase the transparency and reproducibility of science and enhance data and software reuse. Yet before we can fully realize the potential of FAIR data and software policies to advance the scientific enterprise, significant challenges remain. These include the need for education and efficient workflows to ease the burden on the researcher and increase their uptake of open, FAIR practices at the point of data and/or software publication as well as at article publication. Here, we will share a progress report from AGU on the effect of publisher policies on data and software sharing and discuss work by AGU and the broader community to break down barriers for the researcher and to ensure that data and software creators receive appropriate attribution for their work.