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@INPROCEEDINGS{Stiele:1034000,
      author       = {Stiele, Holger and Manzano, Cristina and Miskolczi, Arpad
                      and Pfalzner, Susanne and Fieseler, Thomas and Vybornov,
                      Vadim},
      title        = {{T}owards more structured long-term data archiving},
      reportid     = {FZJ-2024-06833},
      year         = {2024},
      abstract     = {At the moment, the long-term archive sites do not have
                      knowledge about the (scientific) content of the observations
                      that are stored. If we know, e.g. which observations belong
                      from an observational and astrophysical point of view
                      together, it may be possible to archive these data on the
                      same tape, minimising the costs in time and energy to
                      retrieve them. As with the upgrade to LOFAR 2.0 it is also
                      foreseen to save advanced data products it will be necessary
                      to store the data in a comprehensible way so that it is
                      clear which data sets of different levels belong together.
                      Based on this information, we would like to build a
                      knowledge tree that in the end would e.g. allow to suggest
                      to observers other archived observation that cover similar
                      objects. Such a structure will also help to provide data
                      according to the FAIR principles and facilitate reuse in the
                      age of multi-wavelength astronomy.},
      month         = {Sep},
      date          = {2024-09-18},
      organization  = {LOFAR Long-term Archive Development
                       Workshop, Dwingeloo (Netherlands), 18
                       Sep 2024 - 20 Sep 2024},
      subtyp        = {After Call},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511) / 5121 -
                      Supercomputing $\&$ Big Data Facilities (POF4-512) / Big
                      Bang to Big Data - B3D [NRW-Cluster für datenintensive
                      Radioastronomie] (PROFILNRW-2020-038B)},
      pid          = {G:(DE-HGF)POF4-5111 / G:(DE-HGF)POF4-5121 /
                      G:(DE-Juel-1)PROFILNRW-2020-038B},
      typ          = {PUB:(DE-HGF)6},
      url          = {https://juser.fz-juelich.de/record/1034000},
}