Content provider type: Organisation
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Keywords: Data Literacy or Helmholtz or KFN, neutron, research with... or Neutron science or PaNOSC or Photon science or batteries or data management or data science or e-learning or electronics or expands or packaging
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Digital Research Academy
We are a network of trainers who provide quality training for quality research. Our topics are...
2 training materialsDigital Research Academy https://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 -
Committee Research with Neutrons (KFN)
The Committee Research with Neutrons (KFN) is an elected body that represents neutron users in...
1 training materialCommittee Research with Neutrons (KFN) https://www.sni-portal.de/en/user-committees/committee-research-with-neutrons https://pan-training.eu/content_providers/committee-research-with-neutrons-kfn The Committee Research with Neutrons (KFN) is an elected body that represents neutron users in Germany. The main task of the KFN is promoting all national and international scientists who do research with neutrons. KFN conducts a dialogue between users, neutron facilites and funders. /system/content_providers/images/000/000/067/original/KFN_Logo-450.jpg?1694505695 -
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://helmholtz-metadaten.de/en 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