Evidence map›Paper›PMID 41458369›Full record

ArticleOpen research Europe2025

Understanding and advancing research software grant funding models.

Daniel S Katz, Eric A Jensen, Michelle Barker

Abstract readLetter
In one paragraph

Article in Open research Europe, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Daniel S KatzUniversity of Illinois Urbana-Champaign, Urbana, Illinois, USA.ORCID https://orcid.org/0000-0001-5934-7525
Eric A JensenUniversity of Illinois Urbana-Champaign, Urbana, Illinois, USA.ORCID https://orcid.org/0000-0002-8332-4507
Michelle BarkerResearch Software Alliance, Portland, OR, USA.ORCID https://orcid.org/0000-0002-3623-172X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research software funding currently operates across a disconnected landscape of public and private grant-making organizations, leading to inefficiencies for software projects and the broader research community. The lack of coordination forces projects to pursue multiple, often overlapping opportunities, and forces funders to independently evaluate projects and proposals, resulting in duplicated effort and suboptimal resource distribution. By examining existing collaboration models, including centralized and distributed approaches, we highlight how joint decision-making mechanisms could improve sustainability for reusable software resources. An international set of examples illustrates how cross-organization cooperation for research software funding can be structured. Such collaborations can optimize grant disbursement and align priorities. Increased collaboration could allow funders to better address the ongoing maintenance and evolution of research software, lowering barriers that hamper discovery across multiple research domains. Encouraging both bottom-up user-driven and top-down coordination mechanisms ultimately supports more robust, widely accessible research software, improving global research outcomes.

Indexed as

digital infrastructuredigital toolsinternational research systemsresearch fundingresearch policyresearch software

Identifiers

PMID41458369
PMCPMC12743209

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.