As part of its open science policy, discover the local ANR adaptation of The French Open Science Monitor. The ANR open science monitor measures the opening rate of publications with a DOI (Digital Object Identifier) Crossref resulting from The Generic Call for Proposals (AAPG) and France 2030 programme (including the Investments for the Future programme 2, 3 and 4) since the 2016 edition.
The French Open Science Monitor has been developed by the French Ministry of Higher Education and Research since 2018. The 2021 edition provides an easily achievable local adaptation for institutions that wish to measure the impacts of their open access policy to scientific publications. The latest version of the national open access monitor was unveiled on March 13, 2023.
The local adaptation of the national open science monitor to ANR data has three main objectives:
Regardless of the publication route chosen by the researcher, the coordinator and partners of projects funded by the ANR commit to submit their publications:
For each of the six graphs presented below, the adaptation of the open science monitor to ANR data enables to observe the impacts of the implementation of its open access policy to publications in calls for proposals.
The ANR open science monitor is built on all publications with DOI Crossref resulting from The Generic Call for Proposals (AAPG) and France 2030 projects (including PIA program 2, 3 and 4) since the 2016 edition. These publications are collected from the following sources:
Developed by the MESR from these data, the dynamic graphs take into account three temporalities: the year of publication, i.e. the year in which the results were actually published. The year of observation, which is one year after publication in order to consider the "dynamic" aspect of open access status. For example, some journals release open access to publication after a certain period of time from the date of publication, known as moving barrier. An author who publishes an article in closed access can share his publication a few months later in an open archive once the moving barrier has expired. Finally, there is the year of the call for proposals. Only made for the ANR, this last temporality is present in the second graph presented below.
This graph presents for each observation date since 2018 the opening rate of publications resulting from projects funded by the ANR under the Generic Call for Projects (AAPG) and the France 2030 Programs (including PIA 2, 3 and 4) from the 2016 edition. Therefore, 87% of the scientific publications funded by the ANR, published in 2021, were in open access in 2022.
To note: We can observe a steady increase in the open access rate from 60% in 2018 to 87% in 2022.
This graph shows, for each edition call for proposals since 2016, the evolution of the rate of open access by year of publication.
To note:
This graph compares the French Open Science Monitor data with the ANR open science monitor data. It presents for the most recent observation date (2022), the proportion of publications that are available via:
To note: Regarding the ANR open science monitor data, we observe a clear increase of publications that are available either via an open archive (dark green) or via an open archive and via the publisher (light green). Indeed, from 74% in 2016, the rate of publications reported on an open archive has increased to 82% in 2021.
This graph presents, for each disciplinary field, the evolution of the open access rate observed each year for the previous year's publications. This visualization makes it possible to observe and compare the opening dynamics of the different disciplines: each point on a line represents the rate observed during an observation year. Thus, the greater the distance between two consecutive points, the more the open access rate has evolved between two years of observation.
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This graph represents the percentage of scientific publications deposited in an open archive per year of observation resulting from ANR-funded projects.
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This graph shows the proportion of publications for which a mention of dataset sharing was detected among publications that mention data production and use. This detection is achieved through an automatic analysis of the full text of the publication by the Data Set tool.
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