
On January 15th, PaNOSC coordinator, Andy Götz, contributed to the School on Synchrotron Light Sources and Their Applications, with a talk on Open Science and FAIR Data, titled “The role of the [Open] Scientist in making Data FAIR for Reproducible Science”. The School. which was held online from the 12th to the 23rd of January […]
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The Director General of the ESRF, Jean Daillant, representing the 11 partners of the Photon and Neutron Open Science Cloud (PaNOSC), has signed the EOSC Federation Memorandum of Understanding with the EOSC Association today, in presence of ILL representatives. On the 17th December 2025 the ESRF, host of PaNOSC, signed the Memorandum of Understanding with the EOSC Association to join the EOSC Federation. […]
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BRUSSELS — Today at the EOSC Symposium, the European Open Science Cloud (EOSC) took a major step toward its consolidation as Europe’s research and innovation data space. The 14 coordinators of the EOSC Federation’s first wave of EOSC Nodes joined EOSC Association (EOSC-A) President Klaus Tochtermann and Co-Chair of the EOSC Federation’s Build-up Group Bob […]
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What is the impact of open FAIR data policies on science? Take a look at this talk by Andy Götz (ESRF) in which he addresses this topic. The talk was given on the 3 July 2025 as part of the seminar series organised by the Data Committee of the Japanese Society for Synchrotron Radiation Research. […]
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The EU project OSCARS (Open Science Clusters’ Action for Research and Society) brings research data to new audiences and targets new use-cases in a broad range of scientific clusters including Photon and Neutron Sciences (PaN). As recommended by a new White Paper from the user organisations, ESUO and ENSA, adherence to the FAIR principles facilitates […]
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The European Open Science Cloud (EOSC) is a project to provide FAIR data and services to all researchers in Europe and to help them in adopting Open Science practices. The Photon and Neutron community has been closely involved with EOSC through the PaNOSC and ExPaNDS projects, which ran from 2018 to 2023. These projects provided […]
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Data storage, traceability, and data use and reuse in the years following experiments is an increasingly important topic in Europe and worldwide. Following the FAIR principles in the whole research data life cycle has also become a requirement of the EC and other funding agencies, for both EU-funded projects and experiments at EU-funded RIs. The […]
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Collaboration and consolidation of the Science Clusters promotes their long-term role(s) in framing an offer to accompany, help, involve, coordinate, and empower scientists to commit to Open Science practices, to connect with EOSC, and foster uptake of the Science Clusters’ services and solutions. The cross-fertilisation research and innovation framework that the Science Clusters have developed […]
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On March 15th, the Science Clusters launched the first OSCARS cascading-grant call for Open Science projects and services. Over 300 attendees across and beyond Europe joined the online launch event and had the opportunity to interact with the panelists via an open Q&A session. As stated by OSCARS’ project coordinator, Giovanni Lamanna, “the aim of the […]
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The ESFRI Science Clusters, operating as a cluster of clusters in projects like OSCARS and EVERSE, have released the Science Clusters Position Statement on operational commitment to EOSC and Open Research, which articulates the Science Clusters’ vision for the future towards the successful implementation of the EOSC, as the result of five years of collaborative efforts, […]
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A wide range of publicly-funded Research Infrastructures (RIs) in Europe are organised in five major Science Clusters, which in the past four years implemented funded projects under the Horizon 2020 programme[1] to achieve a greater FAIRness of science[2], contributing to making research data FAIR: Findable, Accessible, Interoperable and Reproducible. These “Science Clusters” have strived to […]
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The scientific world is undergoing a major change with the widespread adoption of the so-called FAIR principles for research data. The FAIR principles were proposed to ensure research data are made available to the scientific community so that they can be found, downloaded, understood and reused. The goal is to make data used in scientific publications […]
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