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Conference object . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Conference object . 2025
License: CC BY
Data sources: Datacite
ZENODO
Conference object . 2025
License: CC BY
Data sources: Datacite
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The Developing Heliophysics Standards and Cross-science Collaborations Workshop Report

Authors: Ringuette, Rebecca; Cronk, Heather; Barnum, Julie; Wiltberger, Michael; Welling, Daniel; Carver, Jeffrey; Harter, Bryan; +3 Authors

The Developing Heliophysics Standards and Cross-science Collaborations Workshop Report

Abstract

The Developing Heliophysics Standards and Cross-science Collaborations Workshop provided a space where the modeling and mission software development communities could discuss potential software standards in Heliophysics and discover new collaborations. Nearly 50 concepts for best practices and standards were discussed and voted on during the workshop, resulting in 20 concepts voted as standards and 25 as best practices. These concepts included software engineering best practices, Open Science practices, and topics specific to modeling and mission software, such as publication of software-produced datasets. The concepts highly prioritized based on expected impact and ease of implementation by each software category give a glimpse into the current state and the challenges faced by each field, such as the modeling software community’s prioritization of open sharing of code and proper data publication, and the mission software community’s focus on code reusability and interoperability. Continued incentives from funding agencies is needed to increase the number of codes converted to open-source software in both mission and modeling software. Echoing recent reports (ISTPNext 2023; Ringuette et al. 2024; NASEM 2025), the discussions in both software categories prioritized the importance of funding stability and career pathways for Research Software Engineers (RSEs) in Heliophysics. Including RSEs in the proposal process and earlier was highly favored to increase software quality and collaboration. The modeling software category also constructed a new type of funding model reminiscent of missions with tiering based on Open Science characteristics and community interactions. These and other ideas were regarded as important pillars to stabilize funding for RSEs in Heliophysics. Both software categories independently and organically discussed software-focused communities of practice. Although the descriptions in each section differ, their similarities suggest that they are different perspectives of the same structure. Such a community would support structured, funded mentoring opportunities; tiered standards and best practices (e.g. Ringuette et al. 2025a; Barnum & Niehof 2025); increased support for contributors, users and newcomers through hackathons and summer schools; advertising for software in higher tiers; and resources of higher quality and depth. Beginning components were noted in the Python in Heliophysics Community, the Center for Space Environment Modeling, and the Heliophysics Software Search Interface, but more development is needed. This workshop also produced the final paper template for a special issue on Science Data Systems, which is planned for 2026 (Smith et al. 2025). Software developers will submit publications based on that template to the special issue, which will conclude with a summary publication pulling together lessons learned from across those publications to inform and improve the development of future systems, including potential modularization of those systems.This workshop report is a call to action for increased focus and support in these areas:● Increased funding incentives to convert currently closed code to be open-sourced,● Funded development of the described software-focused communities of practice, and● Innovative funding structures designed for software, such as a ‘digital mission’ model.

Keywords

Open Science, Models, Missions, Software, Heliophysics

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green