Thursday, February 5, 2026 From rOpenSci (https://ropensci.org/blog/2026/02/05/palaeoverse-ssi-grant/). Except where otherwise noted, content on this site is licensed under the CC-BY license.
Palaeoverse, a grassroots organization that develops R packages for paleontology, has been awarded a Large Grant from the Software Sustainability Institute, via the Research Software Maintenance Fund, for the project ‘Converting Users to Contributors: Enabling Sustainable Maintenance and Development of Palaeoverse’. This funding will support efforts to improve the sustainability and maintainability of several key R packages used in paleontological research.

Palaeoverse is an initiative aiming to unite the paleontological community through shared resources, agreed standards, and a collective commitment to improving reproducibility in paleontological research. The project began in 2022 when a group of early-career researchers, including myself, recognized a common challenge: many of us were independently developing similar programmatic workflows for cleaning and preparing paleontological data due to a lack of standardized tools and protocols, leading to duplicated work that was difficult to reproduce. In response, we came together to develop the palaeoverse R package—a toolkit designed to streamline data preparation and exploration in paleontological research. Since then, Palaeoverse has evolved into a formally organized initiative with a growing scope. We maintain multiple R packages, curate resources, host lectures, and run training workshops. These resources have been developed entirely through the current team’s voluntary efforts.
The Palaeoverse toolkit currently includes several R packages that address various aspects of paleontological data pipelines:

Sepkoski’s evolutionary fauna, using the Sepkoski fossil marine animal genera compendium, as plotted by the sepkoski_curve_base() function in the sepkoski R package. Number of genera are counted per international geological stage bin. The timescale on the x-axis comes from the axis_geo() function in the palaeoverse R package.
Computational methods play an increasingly central role in paleontology, creating a pressing need for reliable, community-endorsed software that supports reproducible research. Palaeoverse was established to address this demand, but its continued success now depends on broader community engagement to ensure its longevity and that its development reflects the diverse needs of the field, rather than those of its core contributors. As the project expands, reducing maintenance overhead and strengthening long-term sustainability remain critical challenges for safeguarding its future. Our vision, therefore, is to evolve Palaeoverse into a community-driven project, where users actively contribute to the development, maintenance, and review of Palaeoverse software and resources.
To achieve our vision, we have identified two strategic priorities for the organization:
Foster a contributor-friendly environment. This involves auditing and updating our software packages to improve internal structure, code readability, and maintainability. We also want to develop comprehensive contributor guidelines and documentation to establish transparent and accessible standards.
Grow community engagement and build a contributor network. We want to supplement our existing program of Palaeoverse workshops with bespoke training and community-building initiatives focused on software development and maintenance. Given the low prevalence of these skills in paleontology, these events will be critical for equipping researchers with the knowledge and confidence needed to contribute to open-source scientific software, including Palaeoverse.
Through these efforts we will set clear expectations for contributions, streamline contributor submissions, and cultivate a contributor network. Our hope is that this will spur a new community-sustaining growth phase for Palaeoverse. Unfortunately, these lofty goals require a lot of time and money, and funding for maintenance of preexisting software is scarce (large research grants are usually looking for novel software) and all of the core contributors are busy with many other responsibilities…
Last April, the Software Sustainability Institute announced a call for proposals for the first round of the Research Software Maintenance Fund. This fund aims to support the maintenance and sustainability of research software that is already in use by the community (that’s us!). The Palaeoverse team put together a proposal for a Large Grant to cover these two strategic priorities. Then, in December, we found out that our proposal, ‘Converting Users to Contributors: Enabling Sustainable Maintenance and Development of Palaeoverse’, was chosen as one of four Large Awards7 to be funded! The funding, totaling ~£480,000 (~650,000 USD) over two years, will go towards:
We are extremely excited for the future of Palaeoverse, and we invite you to join us for this next chapter, whether or not you are a paleontologist! There are several ways to get involved:
Altogether, we hope that, by devoting these resources to Palaeoverse over the next two years, we will build a strong community of users and contributors that will sustain the Palaeoverse R packages and broader organization for many years to come.
Jones, L.A., Gearty, W., Allen, B.J., Eichenseer, K., Dean, C.D., Galván S., Kouvari, M., Godoy, P.L., Nicholl, C., Dillon, E.M., Flannery-Sutherland, J.T., Chiarenza, A.A. (2023). palaeoverse: A community-driven R package to support palaeobiological analysis. Methods in Ecology and Evolution. 14(9): 2205–2215. https://doi.org/10.1111/2041-210X.14099 ↩︎
Gearty, W. and Jones, L.A. (2023). rphylopic: An R package for fetching, transforming, and visualising PhyloPic silhouettes. Methods in Ecology and Evolution. 14(11): 2700-2708. https://doi.org/10.1111/2041-210X.14221 ↩︎
Jones, L.A., Dean, C.D., Gearty, W., and Allen, B.J. (2024). rmacrostrat: An R package for accessing and retrieving data from the Macrostrat geological database. Geosphere. 20(6): 1456–1467. https://doi.org/10.1130/GES02815.1 ↩︎
Jones L.A. (2022). sepkoski: Sepkoski’s Fossil Marine Animal Genera Compendium. R package version 0.0.1. https://github.com/LewisAJones/sepkoski/. https://doi.org/10.5281/zenodo.7342194. ↩︎
Sepkoski, J. J. (1981). A factor analytic description of the Phanerozoic marine fossil record. Paleobiology. 7(1): pp. 36–53. https://doi.org/10.1017/S0094837300003778 ↩︎
Sepkoski, J. J. (2002). A compendium of fossil marine animal genera. Bulletins of American Paleontology. 363: 1-560. https://doi.org/10.1017/S2475262200000335 ↩︎
The Research Software Maintenance Fund also awarded a similarly sized grant to R-Core for a similar project titled ‘Enabling the Next Generation of Contributors to R’. We’re honored to be in such esteemed company! ↩︎