New Editorial Models for Decentralized Publishing

Scientific publishing is undergoing a quiet transformation. As preprints become mainstream, a new generation of editorial models is emerging. In a recent webinar hosted by CSE, 6 experts presented a range of decentralized approaches to evaluation and curation, from community-led peer review networks to automated transparency audits. Together, these models raise a timely question: What if dissemination, evaluation, and certification no longer needed to happen in the same place, or even in the same order? As one speaker put it, “Decoupling dissemination from formal peer review provides an opportunity to improve how we assess research.” Decoupling Publishing Richard Sever (openRxiv), cofounder of bioRxiv1 (2013) and medRxiv2 (2019), has helped shape the current era of preprint adoption in the life sciences. His presentation framed preprints as a foundational shift; not a workaround, but a deliberate reordering of priorities: make the work public first, then evaluate. In contrast to the traditional submission-to-publication pipeline, which can take months or years, preprints allow researchers to share findings in hours or days. Sever emphasized that this decoupling opens the door to “more ongoing forms of review” and the development of “multi-dimensional trust signals for readers—both human and machine.” A modular publishing ecosystem is where dissemination, evaluation and certification are separate but interoperable. Researchers and platforms can experiment with new models. Transparency, reproducibility, and speed are prioritized. Decoupling creates space for new types of evaluation and innovation, and emphasizes trust, efficiency, community ownership, and resistance from legacy systems. But decentralized models are not just theoretical—they are […]

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Publication Details

Journal
Science Editor
Published
2025-08-28
DOI
https://doi.org/10.36591/se-4804-01
Primary Topic
Libraries and Information Services
Type
article
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article

New Editorial Models for Decentralized Publishing

Steven D. Smith
Science Editor
Libraries and Information Services
article

New Editorial Models for Decentralized Publishing

Steven D. Smith
article en

Abstract

Scientific publishing is undergoing a quiet transformation. As preprints become mainstream, a new generation of editorial models is emerging. In a recent webinar hosted by CSE, 6 experts presented a range of decentralized approaches to evaluation and curation, from community-led peer review networks to automated transparency audits. Together, these models raise a timely question: What if dissemination, evaluation, and certification no longer needed to happen in the same place, or even in the same order? As one speaker put it, “Decoupling dissemination from formal peer review provides an opportunity to improve how we assess research.” Decoupling Publishing Richard Sever (openRxiv), cofounder of bioRxiv1 (2013) and medRxiv2 (2019), has helped shape the current era of preprint adoption in the life sciences. His presentation framed preprints as a foundational shift; not a workaround, but a deliberate reordering of priorities: make the work public first, then evaluate. In contrast to the traditional submission-to-publication pipeline, which can take months or years, preprints allow researchers to share findings in hours or days. Sever emphasized that this decoupling opens the door to “more ongoing forms of review” and the development of “multi-dimensional trust signals for readers—both human and machine.” A modular publishing ecosystem is where dissemination, evaluation and certification are separate but interoperable. Researchers and platforms can experiment with new models. Transparency, reproducibility, and speed are prioritized. Decoupling creates space for new types of evaluation and innovation, and emphasizes trust, efficiency, community ownership, and resistance from legacy systems. But decentralized models are not just theoretical—they are […]

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New Editorial Models for Decentralized Publishing — Steven D. Smith · Science Editor (2025) | TGRS Research Map | TGRS