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3 content providers found

Keywords: data management 

  • ErUM-Data-Hub

    The ErUM Data Hub is funded by the German Federal Ministry of Education and Research (BMBF) and...

    0 upcoming events (26 past events)
    ErUM-Data-Hub https://pan-training.eu/content_providers/erum-data-hub The ErUM Data Hub is funded by the German Federal Ministry of Education and Research (BMBF) and involves stakeholders from all ErUM thematic areas. It takes up ideas from the scientific community and supports and coordinates their implementation. A further aim is to provide support in the transfer of developed solutions to new fields of application and to attract partners beyond ErUM, for example in the areas of energy, climate, sustainability and health. The activities of the ErUM-Data-Hub are divided into 4 work areas: * Networking * Exchange * Digital competencies * Communication /system/content_providers/images/000/000/066/original/Logo-Horizontal-7-300x150.png?1680706364

  • 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