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3 content providers found

Keywords: Open Science  or PaNOSC  or batteries  or expands  or metadata 

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Content provider type: Organisation  or Portal 

  • PaN Learning

    PaN Learning is the E-learning platform of the PaN Training Portal for the Photon and Neutron...

    48 training materials
    PaN Learning https://pan-training.eu/content_providers/pan-training PaN Learning is the E-learning platform of the PaN Training Portal for the Photon and Neutron community. The platform has a long history and is also part of the EU-founded projects PaNOSC and ExPaNDS. * The E-learning platform hosts free education and training for scientists and students. * In the platform you will find courses on both the theory of photon and neutron scattering and how to use python code or software for data reduction and modelling. * All content from our E-learning platform is also listed in this catalogue of PaN training materials. /system/content_providers/images/000/000/027/original/PaNelearning.png?1651055954

  • Digital Research Academy

    We are a network of trainers who provide quality training for quality research. Our topics are...

    2 training materials
    Digital Research Academy https://pan-training.eu/content_providers/digital-research-academy We are a network of trainers who provide quality training for quality research. Our topics are Open Science, Data Literacy, and Research Software Engineering. /system/content_providers/images/000/000/102/original/DRA_LogoColourPos.jpg?1715864600

  • Helmholtz Metadata Collaboration (HMC)

    The Helmholtz Metadata Collaboration (HMC) promotes the qualitative enrichment of research data...

    0 upcoming events (1 past event)
    Helmholtz Metadata Collaboration (HMC) https://pan-training.eu/content_providers/helmholtz-metadata-collaboration-hmc The Helmholtz Metadata Collaboration (HMC) promotes the qualitative enrichment of research data by means of metadata – and implements this approach across the whole organization. HMC develops and implements novel concepts and technologies for a sustainable handling of research data through high-quality metadata. Its main goal is to make the depth and breadth of research data produced by Helmholtz Centres findable, accessible, interoperable and reusable (FAIR) for the whole science community /system/content_providers/images/000/000/069/original/Unknown.jpeg?1713956606