Is ‘Open Science’ Delivering Benefits? Major Study Finds Proof is Sparse
It’s hard to measure social and economic impacts of making papers and data free, researchers say.
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It’s hard to measure social and economic impacts of making papers and data free, researchers say.
This year’s Open Science Conference was dedicated entirely to Open Science and AI. Participants examined both the opportunities and the challenges at this intersection, exploring how to responsibly integrate AI into research processes and, conversely, how to build trustworthy AI on trustworthy data.
The current relationship between researchers, funders and commercial publishers has created a “drain” – depriving the research system of money, time, trust and control.
While Open Science infrastructures are used a lot, their funding is precarious. TSOSI is a project that aims to improve this situation by making financial support for open infrastructure more visible.
Academic freedom and the autonomy of science require protection not only against direct state interference, but also against the more subtle colonisation of research by political and economic systems.
What does Open Access promise and what does it cost? How can the crucial importance of open infrastructures be embedded as a collective core task? What could a new concept for financing Diamond Open Access look like? At the Open Access Days 2025, these and other questions were answered in lectures and workshops.
Experts call for African-led platforms and pooled funding to protect scientific visibility.
Responding to early-career researchers' honest questions with accusations of misconduct is a travesty of open science.
In this interview with Peter Suber, the Senior Advisor on Open Access at Harvard Library and Director of the Harvard Open Access Project at the Berkman Klein Center discusses the current alarming developments taking place in the US research landscape – and offers valuable advice to colleagues from abroad.
To create a research culture that makes the best use of available data, the FAIR principles need to be extended
Measures intended to encourage openness are clashing with efforts to reform assessment
As more of the research process is exposed, the readiness and resources of researchers and their institutions must be considered
As a recent consultation on how to monitor open science practices draws to a close, it is argued that if monitoring frameworks aim to capture the widest dimensions of open science as a practice they should include case studies.
A recent work outlines seven kinds of research data misuse and provide recommendations.
Drawing on a review of the published research into the societal impact of open science, Nicki Lisa Cole and colleagues find considerable evidence for the benefits of citizen science, but a much thinner evidence base for the impact of other aspects of open science. Their findings suggest that there is a greater need to consider how these impacts are monitored, and an opportunity to address open science as an inclusive practice, rather than simply a method of opening scientific outputs.
Combining artificial Intelligence (AI) and open science can accelerate scientific discovery, redefine the boundaries of scientific research and democratise access to knowledge.
Counting publications does not build equity, integrity and value.
Inclusion of Open Science principles and guidelines in the new policy framework marks a first for the region and Africa and is set to unlock the full potential of scientific research and drive sustainable development across East Africa.
Major platforms such as the Web of Science, widely used to generate metrics and evaluate researchers, are proprietary. More than 30 research and funding organizations call for the community to commit to platforms that instead are free for all, more transparent about their methods, and without restrictions about how the data can be used.
A treasure trove of published research is locked behind publisher paywalls and out of reach for many underresourced and Minority-Serving Institutions.