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"scheme": "orcid" } ], "name": "Weber, Heiko B.", "type": "personal" } } ], "description": "pynxtools is a Python package that provides core functionalities for converting experimental data into HDF5 files that are compliant with NeXus application definitions (https://manual.nexusformat.org/classes/applications/index.html). 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We welcome materials related to FAIR research data management (RDM) best practices and research data infrastructure, either from FAIRmat members, collaborators or other RDM practitioners. 

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Documentation and materials related to the FAIRmat infrastructure, NOMAD, and NOMAD Oasis will be accepted from FAIRmat developers and the users of both public NOMAD and NOMAD Oasis. 

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Uploaded materials include (but not limited to): publications, users guides, presentations, posters, FAIRmat newsletters.

", "funding": [ { "award": { "identifiers": [ { "identifier": "https://gepris.dfg.de/gepris/projekt/460197019?language=en", "scheme": "url" } ], "number": "460197019", "title": { "en": "FAIRmat \u2013 FAIR Data Infrastructure for Condensed-Matter Physics and the Chemical Physics of Solids" } }, "funder": { "id": "018mejw64" } } ], "page": "

FAIRmat is on a mission to make research data Findable, Accessible, Interoperable and Re-purposable (FAIR), for the field of condensed-matter physics and the chemical physics of solids, by providing scientists with a FAIR data infrastructure and the skills and tools they need to make the most of it.

\n

Our mission has two parts:

\n
    \n
  1. Develop and maintain a federated FAIR data infrastructure for materials data with built-in tools and standards to support scientific collaboration and proper research data management (RDM) practices.
    2. \n
  2. Support the scientific community to introduce and maintain high standards of reproducibility, research integrity, and compliance with ethical and legal requirements by adopting proper RDM practices based on the FAIR data principles.
    3. \n
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FAIRmat integrates data obtained from synthesis, experiment, theory, computations, and applications, to drive the basic physical sciences, reaching out to chemistry, engineering, industry, and society. FAIRmat operates the NOMAD Laboratory, which offers cutting-edge tools for collecting, storing, presenting, and analyzing materials-science data.  
 

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FAIRmat is funded as a consortium of the German Research-Data Infrastructure NFDI, by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – project 460197019.

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