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@INPROCEEDINGS{Filozova:453548,
      author       = {Filozova, Irina and Zaikina, Tatiana and Shestakova, Galina
                      and Semenov, Roman and Köhler, M. and Wagner, A. and
                      Baracci, Laura},
      title        = {{JINR} {O}pen {A}ccess {R}epository based on the {JOIN}²
                      {P}latform},
      reportid     = {PUBDB-2021-00004},
      isbn         = {978-5-6045486-0-8},
      pages        = {99 - 102},
      year         = {2020},
      comment      = {Data Analytics and Management in Data Intensive Domains:
                      ХХII International Conference DAМDID/RCDL' 2020 (October
                      13–16, 2020, Voronezh, Russia): Extended Abstracts of the
                      Conference. Edited bу Bernhard Thalheim, Sergey Makhortov,
                      Alexander Sychev. – Voronezh: Voronezh State University,
                      2020. – 241р.},
      booktitle     = {Data Analytics and Management in Data
                       Intensive Domains: ХХII International
                       Conference DAМDID/RCDL' 2020 (October
                       13–16, 2020, Voronezh, Russia):
                       Extended Abstracts of the Conference.
                       Edited bу Bernhard Thalheim, Sergey
                       Makhortov, Alexander Sychev. –
                       Voronezh: Voronezh State University,
                       2020. – 241р.},
      abstract     = {In recent years, Open Scientific Infrastructures have
                      become an im-portant tool for providing researchers and
                      society with scientific information. Research institutes and
                      universities worldwide actively plan and implement ar-chives
                      of their scientific output. Likewise, the JINR Document
                      Server (JDS —jds.jinr.ru) stores JINR information
                      resources and provides effective access to them. JDS
                      contains numerousmaterials that reflect and facilitate
                      research activ-ities. Technically, JDS is based on the
                      Invenio software platform developed by CERN.To further
                      improve the services, JDS is now adapting JOIN² workflows.
                      JOIN², also based on Invenio, allows users, authors,
                      librarians, managers, etc. to view the results of scientific
                      work in a useful, friendly form and provides rich
                      functionalities in the simplest way. The JOIN² workflow
                      covers several verifi-cation layers of user data to minimize
                      errors and thus provides checked and re-liable information
                      to end users. JDS features records with media files (video
                      lectures, seminars, tutorials), and data import using DOI,
                      ISBN, IDs from arXiv, WoS, Medline, PubMed, INSPIRE. Private
                      collections with working group identification enable the
                      integration into the research workflow. Acommon collection
                      of Authority Records, i.e. grants, experiments,
                      institu-tions, institutes, people, periodicals and their
                      link with bibliographic records, establishes a high level of
                      consistency and data quality.},
      month         = {Oct},
      date          = {2020-10-13},
      organization  = {XXII International Conference on Data
                       Analytics and Management in Data
                       Intensive Domains, Voronezh (Russia),
                       13 Oct 2020 - 16 Oct 2020},
      cin          = {L},
      cid          = {I:(DE-H253)L-20120731},
      pnm          = {899 - ohne Topic (POF3-899) / JOIN² - Just anOther INvenio
                      INstance (JOIN2-2014)},
      pid          = {G:(DE-HGF)POF3-899 / G:(DE-HGF)JOIN2-2014},
      experiment   = {EXP:(DE-MLZ)NOSPEC-20140101},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      doi          = {10.3204/PUBDB-2021-00004},
      url          = {https://bib-pubdb1.desy.de/record/453548},
}