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@ARTICLE{Schmitt:888335,
      author       = {Schmitt, Robert H. and Anthofer, Verena and Auer, Sören
                      and Başkaya, Sait and Bischof, Christian and Bronger,
                      Torsten and Claus, Florian and Cordes, Florian and Demandt,
                      Évariste and Eifert, Thomas and Flemisch, Bernd and Fuchs,
                      Matthias and Fuhrmans, Marc and Gerike, Regine and Gerstner,
                      Eva-Maria and Hanke, Vanessa and Heine, Ina and Huebser,
                      Louis and Iglezakis, Dorothea and Jagusch, Gerald and
                      Klinger, Axel and Krafczyk, Manfred and Kraft, Angelina and
                      Kuckertz, Patrick and Küsters, Ulrike and Lachmayer, Roland
                      and Langenbach, Christian and Mozgova, Iryna and Müller,
                      Matthias S. and Nestler, Britta and Pelz, Peter and Politze,
                      Marius and Preuß, Nils and Przybylski-Freund,
                      Marie-Dominique and Rißler-Pipka, Nanette and Robinius,
                      Martin and Schachtner, Joachim and Schlenz, Hartmut and
                      Schwarz, Annett and Schwibs, Jürgen and Selzer, Michael and
                      Sens, Irina and Stäcker, Thomas and Stemmer, Christian and
                      Stille, Wolfgang and Stolten, Detlef and Stotzka, Rainer and
                      Streit, Achim and Strötgen, Robert and Wang, Wei Min},
      title        = {{NFDI}4{I}ng - the {N}ational {R}esearch {D}ata
                      {I}nfrastructure for {E}ngineering {S}ciences},
      journal      = {Zenodo},
      volume       = {Version 1},
      address      = {Genève},
      publisher    = {CERN},
      reportid     = {FZJ-2020-04854},
      pages        = {1-116},
      year         = {2020},
      abstract     = {<p>NFDI4Ing brings together the engineering communities and
                      fosters the management of engineering research data. The
                      consortium represents engineers from all walks of the
                      profession. It offers a unique method-oriented and
                      user-centred approach in order to make engineering research
                      data FAIR $\&ndash;$ findable, accessible, interoperable,
                      and re-usable.</p> <p>NFDI4Ing has been founded in 2017. The
                      consortium has actively engaged engineers across all five
                      engineering research areas of the DFG classification.
                      Leading figures have teamed up with experienced
                      infrastructure providers. As one important step, NFDI4Ing
                      has taken on the task of structuring the wealth of concrete
                      needs in research data management. A broad consensus on
                      typical methods and workflows in engineering research has
                      been established: The archetypes. So far, seven archetypes
                      are harmonising the methodological needs:</p> <ul> <li>Alex:
                      bespoke experiments with high variability of setups,</li>
                      <li>Betty: engineering research software,</li> <li>Caden:
                      provenance tracking of physical samples $\&$ data
                      samples,</li> <li>Doris: high performance measurement $\&$
                      computation,</li> <li>Ellen: extensive and heterogeneous
                      data requirements,</li> <li>Frank: many participants $\&$
                      simultaneous devices,</li> <li>Golo: field data $\&$
                      distributed systems.</li> </ul> <p>A survey of the entire
                      engineering research landscape in Germany confirms that the
                      concept of engineering archetypes has been very well
                      received. $95\%$ of the research groups identify themselves
                      with at least one of the NFDI4Ing archetypes.</p>
                      <p>NFDI4Ing plans to further coordinate its engagement along
                      the gateways provided by the DFG classification of
                      engineering research areas. Consequently, NFDI4Ing will
                      support five community clusters. In addition, an overarching
                      task area will provide seven base services to be accessed by
                      both the community clusters and the archetype task areas.
                      Base services address quality assurance $\&$ metrics,
                      research software development, terminologies $\&$ metadata,
                      repositories $\&$ storage, data security $\&$ sovereignty,
                      training, and data $\&$ knowledge discovery. With the
                      archetype approach, $NFDI4Ing\&rsquo;s$ work programme is
                      modular and distinctly method-oriented. With the community
                      clusters and base services, $NFDI4Ing\&rsquo;s$ work
                      programme remains firmly user-centred and highly
                      integrated.</p> <p>NFDI4Ing has set in place an internal
                      organisational structure that ensures viability, operational
                      efficiency, and openness to new partners during the course
                      of the $consortium\&rsquo;s$ development.
                      $NFDI4Ing\&rsquo;s$ management team brings in the experience
                      from two applicant institutions and from two years of
                      actively engaging with the engineering communities. Eleven
                      applicant institutions and over fifty participants have
                      committed to carrying out $NFDI4Ing\&rsquo;s$ work
                      programme. Moreover, $NFDI4Ing\&rsquo;s$ connectedness with
                      consortia from nearby disciplinary fields is strong.
                      Collaboration on cross-cutting topics is well prepared and
                      foreseen. As a result, NFDI4Ing is ready to join the
                      National Research Data Infrastructure.</p>},
      cin          = {IEK-1 / IEK-3},
      ddc          = {000},
      cid          = {I:(DE-Juel1)IEK-1-20101013 / I:(DE-Juel1)IEK-3-20101013},
      pnm          = {899 - ohne Topic (POF3-899)},
      pid          = {G:(DE-HGF)POF3-899},
      typ          = {PUB:(DE-HGF)16},
      doi          = {10.5281/ZENODO.4015201},
      url          = {https://juser.fz-juelich.de/record/888335},
}