“An Open Access initiative to sustain the barrier-free availability of EDP Sciences’ complete mathematics portfolio
Paris / Berlin, June 10, 2021. In May 2021, EDP Sciences announced that its complete mathematics journal portfolio of six subscription titles—including the flagship journal “ESAIM: Mathematical Modelling and Numerical analysis”— transitioned to Open Access (OA) under the innovative Subscribe-to-Open (S2O) model. In partnership with Knowledge Unlatched (KU), EDP Sciences will be asking libraries and institutions currently subscribing to any of the six journals to renew for 2021 and beyond on a S2O basis, thus contributing to maintaining these journals Open Access in years to come….”
“It is confirmed that five mathematics journals published by EDP Sciences and the Société de Mathématiques Appliquées et Industrielles (SMAI) will join Mathematical Modelling of Natural Phenomena (MMNP) in open access under the Subscribe-to-Open (S2O) model in 2021*. The transition will further bolster S2O, a transformative model first introduced by Annual Reviews and recently endorsed by cOAlition S.
The decision to transition the journals to open access at this time has been reached despite challenging operating conditions. Inevitably, the Covid-19 pandemic continues to influence library finances and complicate subscriptions. The decision to proceed is therefore based on a range of exceptional factors and would not necessarily have been taken had finances alone been considered….”
“EMS Press is pleased to announce that all 10 of its Subscribe To Open (S2O) journals will become open access for 2021, including its flagship publication Journal of the European Mathematical Society. The Press chose S2O as its preferred route to open access as it does not rely on author fees, allowing for equitable and sustainable open access with a focus on high-quality research….”
“Starting 1st January 2021, zbMATH is becoming an open access database. The mathematical community is invited to participate in its further development. This can be done either by becoming a reviewer or by sharing your ideas about the future development of zbMATH. Please note also our revised terms for the zbMATH Open web interface.
We are currently working on an API which will allow much of our data to be used for research and non-commercial purposes….”
“With its funding decision in 2019, the Joint Science Conference of the Federal Government and the Länder had paved the way for zbMATH Open. Now it is done: In an elaborate work process, the information service was transformed into an open access platform. This means that much of the data can be used freely for research purposes and for linking to other non-commercial services.
zbMATH (formerly Zentralblatt für Mathematik) provides comprehensive, scientifically deeply indexed information on mathematical publications, authors, software and references from 1886 to the present. However, the reusability of this wealth of knowledge and the possibilities of networking the related data had been severely limited by the previous licensing model.
The new zbMATH Open platform with its open interfaces will now enable the integration of other services and enhanced search functions, for example, for full texts from free digital libraries such as arXiv and EuDML. A further dimension of new applications is offered by the linkage with mathematical research data, which so far have been largely isolated and poorly indexed….”
“Researchers from Caltech’s DOLCIT group have open-sourced Fourier Neural Operator (FNO), a deep-learning method for solving partial differential equations (PDEs). FNO outperforms other existing deep-learning techniques for solving PDEs and is three orders of magnitude faster than traditional solvers….”
“As I watch how the open publishing landscape is evolving, I worry that we are approaching a new status quo and need to step back for a moment, and consider the impact on the ecosystem of funders, institutions, societies, publishers and academics (in their roles as both authors and readers).
I worry that in seeking openness, we are serving a blow to equity. It is a reality that in a time of a COVID-19 pandemic, institutions are suffering financially. Indeed, all participants of the research ecosystem are suffering. In this post I argue that funders, be they national or private, should consider directly funding their field through funding societies and institutions, with a focus on equitable distribution of funds across scholarly communities. Such an approach would temper the impact of the new status quo — the inexorable rise of the transformative agreement, which systematically disadvantages scholars at less wealthy institutions….”
Abstract: In this study we analyse the key driving factors of preprints in enhancing scholarly communication. To this end we use four groups of metrics, one referring to scholarly communication and based on bibliometric indicators (Web of Science and Scopus citations), while the others reflect usage (usage counts in Web of Science), capture (Mendeley readers) and social media attention (Tweets). Hereby we measure two effects associated with preprint publishing: publication delay and impact. We define and use several indicators to assess the impact of journal articles with previous preprint versions in arXiv. In particular, the indicators measure several times characterizing the process of arXiv preprints publishing and the reviewing process of the journal versions, and the ageing patterns of citations to preprints. In addition, we compare the observed patterns between preprints and non-OA articles without any previous preprint versions in arXiv. We could observe that the “early-view” and “open-access” effects of preprints contribute to a measurable citation and readership advantage of preprints. Articles with preprint versions are more likely to be mentioned in social media and have shorter Altmetric attention delay. Usage and capture prove to have only moderate but stronger correlation with citations than Tweets. The different slopes of the regression lines between the different indicators reflect different order of magnitude of usage, capture and citation data.
“Every day, dozens of like-minded mathematicians gather on an online forum called Zulip to build what they believe is the future of their field.
They’re all devotees of a software program called Lean. It’s a “proof assistant” that, in principle, can help mathematicians write proofs. But before Lean can do that, mathematicians themselves have to manually input mathematics into the program, translating thousands of years of accumulated knowledge into a form Lean can understand.
To many of the people involved, the virtues of the effort are nearly self-evident….”