Key recommendations
- Surface hidden information – One of the biggest challenges we discovered during the study is a scarcity of available, standardized, and meaningful data. This information gap limits the visibility of what is happening in research software and in the development of infrastructure to support it. There is a pressing need to give time and attention at the field level to identify and subsequently gather the needed data to fill the information gaps.
- Strengthen the scaffolding – As the field matures, its actors need stronger scaffolding to support norms and activities. Scaffolding, in this instance, can be defined as elements that, with appropriate instantiation, might become the backbone (social, technical, administrative) infrastructure supporting the field. There is a need to shift the priority from creating to integrating and maintaining, and to encourage and enable consolidation, specialization, mergers, and handoffs.
- Grow the market – One of the challenges we have noticed is that research software infrastructures are leaning on the same funding sources, and those funding sources may not last. We’ve seen this in other fields as well. There is a need to figure out how to identify the research software users and how those users connect to customers. Understanding how that user connects to the dollars necessary to keep the research infrastructures running is also essential. This is not about profit but keeping things running and having a dependable system.
- Invest in coordination – Research software is still in its infancy and lacks well-established practices, scaffolding, and market structures. With these conditions, no single actor can succeed alone in this evolving field, especially amid today’s challenging fiscal and political landscape for open science. Philanthropic funders can step in with targeted investments that build the foundational architecture of research software infrastructure. Such investments would bolster individual projects, programs, and organizations and create the necessary environment — providing time, space, tools, and structured support — across training, packaging, hosting, socialization, and advocacy) to collaborate across disciplines and geographies.
The State of Open Research Software Infrastructure
| Artificial Intelligence |
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |