







NLnet; Plaudit
Plaudit is open source software that collects endorsements of scholarly content from the academic community, and leverages those to aid the discovery and rapid dissemination of scientific knowledge. Endorsements are made available as open data. The NGI Search & Discovery Grant will be used to simplify the re-use of endorsement data by third parties by exposing them through web standards.
Plaudit — How to Give More Than One Like to a Scientific Article | Challenges and Issues of Modern Science
Is it possible to give more than one like on Facebook, Instagram, LinkedIn, and other social networks? Have you ever wanted, just once, to “like with both hands”? If so — your wish has come true on the platform of our journal Challenges and Issues of Modern Science.
A New Paradigm for Scientific Publishing, Peer Review, and Impact Assessment
Scientific publishing and peer review have evolved little in three centuries, while the demands placed on them have grown profoundly. The growing role of artificial intelligence has underscored deep, systemic shortcomings of an aging system that has largely evaded innovation, a system whose origins are appallingly closer to the invention of the printing press than to the internet. We can do better – much better. This article is intended as the beginning of a communal experiment: a living document that critically reviews the modern academic publishing and peer-review system and presents a concrete framework to address what bibliometrics experts¹ have characterized as "the pervasive misapplication of indicators to the evaluation of scientific performance". Building on the Leiden Manifesto, DORA, and a body of scholarship spanning many disciplines and decades, we present a community-governed, non-profit platform organized around three trust-weighted impact factors, for articles, authors, and reviewers, with full algorithmic transparency, an open development log, and structural decoupling of credibility scoring from content moderation and from monetization. We invite the community to discuss, critique, and help shape it.
Center for Open Science
At the Center for Open Science, our mission is to increase openness, integrity, and reproducibility of scholarly research. Promoting these practices within the research funding and publishing communities accelerates scientific progress

Faster science, penalties in evaluation, and concerns on quality and impact: Researchers’ use and perceptions of preprints
The preprint ecosystem has expanded rapidly over the past decade, fundamentally altering science communication. Yet, the scholarly community’s attitudes toward this shift remain underexplored. Through a large-scale survey of US and Canadian biomedical scholars, we provide a comprehensive analysis of preprint utilization, perceived impact, and integration into academic credit systems. We find robust engagement across reading, citing, and submitting preprints; however, this activity is driven primarily by a desire for rapid dissemination rather than a foundational commitment to open science. Furthermore, while preprints are valued as networking assets, perceived career penalties during formal academic evaluations stifle broader cultural adoption. Crucially, to navigate the absence of formal peer review, scholars report a heavy reliance on author reputation as a primary heuristic to evaluate a preprint’s credibility and guide their reading and citation decisions. Notably, despite acknowledging preprints’ role in accelerating knowledge sharing, scholars express significant concerns regarding fraud and misinformation, particularly amid declining public trust in science and emerging threats to scientific integrity from artificial intelligence. To resolve these tensions, the preprint ecosystem must evolve beyond prioritizing speed to foster genuine academic dialogue. Simultaneously, evaluation frameworks must adapt to the realities of preprinting, and innovative quality-control mechanisms are urgently needed to balance rapid dissemination with rigorous scientific integrity.

Paperstars
A better way to evaluate scientific papers. Methodological soundness and transparency, not citation counts.

The Principles of Open Scholarly Infrastructure (v2.0, 2025)
POSI version 2.0 released October 2025 The POSI Adopters reviewed the version 1.1 principles and consulted with the community to create version 2.0, released in October 2025. The new/always-current …
A budding discipline around how science gets read and judged - Aris
Scholarly publishing spent thirty years arguing about access. It has barely begun arguing about what readers do with the paper once they have it. At Aris we call that second argument scholarly interface design. Mike Morrison's community calls it ScienceUX. Either way it is becoming a field, and here is why it is worth your attention.
Governing the scholarly AI Commons – Open Future
New report explores how academic communities can shape AI governance in research and publishing, from regulation to community-led approaches.

The Conversation Canada (@ca.theconversation.com)
Written by academic experts, edited by journalists, backed by evidence ✉️ Newsletter: http://bit.ly/2W8X3Ev 🎧 Podcast: http://bit.ly/39v1EE0 ➕ Donate: http://bit.ly/3GV1uam
Landing — Open Journals Collective
We're a collective of libraries, university presses, and non-profit publishers reshaping academic research.
Reproducible research: methodological principles for transparent…
This Mooc proposes methodological principles for open and transparent science. It deals in a practical way with note-taking, computational documentation, replicability of analyses.
Home - Academic Parity Movement - paritymovement.org
Join Academic Parity, a nonprofit dedicated to ending academic bullying, mobbing, harassment, and discrimination.

CopyFair License - P2P Foundation
= a type of licensing or agreement that aims to re-introduce the principle and practice of reciprocity in markets that use mutualized knowledge (commons), by regulating contributions to these commons for those that commercialize it
modular research preprint server demo with meaningful social context

AI agents are checking the scientific literature — and spotting decades-old errors
How and When to Involve Crowds in Scientific Research - The Book

The Young Billionaire Behind the War on Bad Science

science funding and the cherry picking problem

Agency in the Age of AI