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@INPROCEEDINGS{Schwier:1048677,
      author       = {Schwier, Lisa and Giesler, André},
      title        = {{P}laying {FAIR} with {B}ase4{NFDI} – {S}coring {A}cross
                      {S}cientific {D}isciplines},
      reportid     = {FZJ-2025-04800},
      year         = {2025},
      abstract     = {Base4NFDI (Basic Services for the National Research Data
                      Infrastructure) is a central, cross-cutting project within
                      the German National Research Data Infrastructure (NFDI). Its
                      mission is to develop, coordinate, and provide fundamental,
                      community-driven basic services that can be shared, reused,
                      and continuously improved across all NFDI consortia and
                      beyond. By building and maintaining common infrastructures,
                      standards, and interfaces, Base4NFDI aims to foster a
                      sustainable, interoperable, and open research data ecosystem
                      in Germany. Acting as a coordinating hub, it connects
                      disciplinary and institutional efforts, thereby enhancing
                      coherence, efficiency, and innovation in research data
                      management nationwide.Through its activities, Base4NFDI
                      provides targeted funding for the development and operation
                      of basic services that enable the practical implementation
                      of the FAIR principles, ensuring that research data is
                      Findable, Accessible, Interoperable, and Reusable. Among
                      these funded basic services are:• IAM4NFDI, an identity
                      and access management system that provides secure and
                      consistent access to research data and services across
                      consortia,• PID4NFDI, a persistent identifier service that
                      ensures research data can be uniquely referenced, reliably
                      cited, and remain discoverable over the long term,•
                      Jupyter4NFDI, an interactive platform that allows
                      researchers to access, analyze, and share data in a
                      FAIR-compliant manner, supporting reproducible and
                      transparent research workflows.By funding these basic
                      services, Base4NFDI establishes the necessary technical,
                      organizational, and legal frameworks to make research data
                      Findable, Accessible, Interoperable, and Reusable. At the
                      same time, these services provide a sustainable
                      infrastructure that extends beyond individual consortia and
                      strengthens collaboration across the broader research
                      landscape.Moreover, Base4NFDI applies the FAIR principles to
                      its own development processes and outputs. All basic
                      services are transparently documented, openly accessible,
                      and co-designed with the research community. By using open
                      standards, interoperable interfaces, and open-source
                      technologies, Base4NFDI ensures that its services can be
                      integrated across disciplines and institutions.In doing so,
                      Base4NFDI plays a crucial role in linking research
                      communities, overcoming data silos, and establishing
                      sustainable, FAIR-aligned research data practices throughout
                      Germany. By pooling expertise, infrastructure, and
                      governance, it lays the groundwork for researchers in all
                      domains to manage, share, and reuse their data according to
                      the FAIR principles—paving the way for a more open,
                      transparent, and collaborative scientific ecosystem.},
      month         = {Nov},
      date          = {2025-11-18},
      organization  = {Tag der Forschungsdaten in NRW 2025,
                       RWTH Aachen (Germany), 18 Nov 2025 - 18
                       Nov 2025},
      subtyp        = {Other},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {899 - ohne Topic (POF4-899)},
      pid          = {G:(DE-HGF)POF4-899},
      typ          = {PUB:(DE-HGF)24},
      doi          = {10.34734/FZJ-2025-04800},
      url          = {https://juser.fz-juelich.de/record/1048677},
}