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@ARTICLE{Stanzel:908302,
      author       = {Stanzel, Franziska and Barbers, Irene and Pollack, Philipp
                      and Lindstrot, Barbara},
      title        = {{B}ig {S}cholarly {D}ata im {O}pen {A}ccess {M}onitor: ein
                      {W}erkstattbericht},
      journal      = {LIBREAS. Library ideas},
      volume       = {41},
      issn         = {1860-7950},
      address      = {Berlin},
      publisher    = {Institut für Bibliotheks- und Informationswissenschaft
                      der Humboldt Universität zu Berlin},
      reportid     = {FZJ-2022-02522},
      pages        = {20 pages},
      year         = {2022},
      abstract     = {In the light of the Open Access transformation, the
                      analysis of large amounts of data is increasingly important
                      for libraries, whereas the number of scholarly publications
                      is constantly growing. Large amounts of data must first be
                      made usable before any substantiated analysis can be made,
                      e.g. regarding institution-related publication outputs. This
                      is where the Open Access Monitor (OAM) comes in, which acts
                      as an interface for merging data from various source systems
                      such as Unpaywall, Dimensions, Web of Science and Scopus.
                      For this purpose, the OAM is structurally divided into three
                      parts: the backend hosts the data, which can be queried via
                      the API, and is presented and visualized in the frontend.
                      All data, coming from various source systems, must be
                      homogenized in order to realize complete data sets without
                      creating duplicates. Journal titles or institution names
                      have to be standardized to allow assigning the original
                      entries from the source systems to the corresponding data
                      records in the OAM. In the case of institution names, these
                      are enriched with persistent identifiers. Given the way the
                      data is organized in some of the source databases, the
                      institution names cannot be mapped directly to organization
                      identifiers (ROR-IDs) in some cases. Therefore, the raw
                      forms of the author’s affiliation information are used in
                      the mapping process. Affiliation mapping is an extensive and
                      complex task, since the data provided are often ambiguous
                      and at the same time a clear distinction of institutions,
                      especially in the case of university hospitals, requires
                      intellectual processing. The highly complex process of
                      generating a uniform data set from a multitude of data
                      sources will be demonstrated, with a special focus on the
                      normalization processes as well as the assignment of Open
                      Access categories. Metadata quality remains a constant
                      challenge, as does the issue of availability and
                      sustainability of the connected source systems. The use and
                      integration of open data sources is generally desirable –
                      it would be in line with the OAM’s goal of unrestricted
                      (re-) usability of the OAM data. The pros and cons of using
                      non-commercial databases are discussed using OpenAlex as an
                      example.},
      keywords     = {Publikationsdaten (Other) / Anwendung (Other) /
                      wissenschaftliches Publizieren (Other) / Open Access (Other)
                      / Monitoring (Other) / open access monitoring (Other) /
                      publication data (Other) / application (Other) / scholarly
                      publishing (Other) / scholarly communication (Other)},
      cin          = {ZB},
      ddc          = {020},
      cid          = {I:(DE-Juel1)ZB-20090406},
      pnm          = {899 - ohne Topic (POF4-899) / OAM - Open Access Monitoring
                      – OAM (16OAMO001)},
      pid          = {G:(DE-HGF)POF4-899 / G:(DE-HGF)16OAMO001},
      typ          = {PUB:(DE-HGF)16},
      doi          = {10.18452/24797},
      url          = {https://juser.fz-juelich.de/record/908302},
}