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@PHDTHESIS{Gleim:956518,
      author       = {Gleim, Lars Christoph},
      othercontributors = {Decker, Stefan Josef and Sure-Vetter, York},
      title        = {{A}n approach for global and local data lifecycle
                      management with provenance and persistent identifiers},
      school       = {RWTH Aachen University},
      type         = {Dissertation},
      address      = {Aachen},
      publisher    = {RWTH Aachen University},
      reportid     = {RWTH-2023-04233},
      pages        = {1 Online-Ressource : Illustrationen, Diagramme},
      year         = {2023},
      note         = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
                      University; Dissertation, RWTH Aachen University, 2023},
      abstract     = {Data lifecycle management is gaining in complexity in times
                      of increasing interorganizational collaboration, agile
                      product development, and growing information sharing
                      throughout the enterprise supply chain. Current data
                      management practices based on data lake and data warehouse
                      systems are struggling to scale to the industrial
                      requirements of tomorrow. Based on the foundations of Linked
                      Data technology and principles and best practices for
                      findable, accessible, interoperable and reusable (FAIR) data
                      management, we describe an approach for global and local
                      data lifecycle management with provenance and persistent
                      identifiers. We refer to this approach as World Wide Data
                      Management (WWDM). Throughout this work, we define key
                      services, principles, and best practices for WWDM and
                      provide a reference architecture and implementation. We
                      present: FactID a novel approach for persistent resource
                      identification and archiving enabling globally-distributed
                      resource persistence. Extended Memento an Hyper Text
                      Transfer Protocol (HTTP) extension for enabling uniform
                      infrastructure-independent data persistence at industrial
                      scale. FactDAG a data integration and interoperability model
                      linking data across system, organizational boundaries, and
                      throughout the data and product lifecycle using provenance
                      links. FactStack an implementation of the FactDAG model
                      based on the principles of Linked Data and FAIR data
                      management. ReShare an approach enabling verifiable
                      accountability for data sharing across organizational
                      boundaries using the novel concept of Digital Transmission
                      Contracts. FactFUSE an approach integrating the WWDM
                      paradigm based on the FactStack system with traditional
                      hierarchical file systems to support the practical usability
                      and adoption of the overall paradigm. Through the
                      combination of these contributions, the suite of data
                      management services at the core of the WWDM paradigm is
                      realized in an interoperable and sustainable fashion,
                      guiding and supporting the data management throughout its
                      lifecycle. As such, the presented results provide a
                      practical foundation to enable interorganizational data
                      management and collaboration with minimal operational
                      overhead, promoting the adoption of FAIR data management
                      principles and best practices throughout the product
                      lifecycle and the enterprise supply chain. Subsequently, the
                      described WWDM solution provides the foundation for
                      next-generation data management practices for agile product
                      development and collaboration in Industry 4.0 and beyond.},
      cin          = {124510 / 120000},
      ddc          = {004},
      cid          = {$I:(DE-82)124510_20160614$ / $I:(DE-82)120000_20140620$},
      pnm          = {WS-A.III - Functional Perspective (X080067-WS-A.III) / DFG
                      project 390621612 - EXC 2023: Internet of Production (IoP)
                      (390621612) / SMITH - Medizininformatik-Konsortium
                      (BMBF-01ZZ1803K)},
      pid          = {G:(DE-82)X080067-WS-A.III / G:(GEPRIS)390621612 /
                      G:(DE-82)BMBF-01ZZ1803K},
      typ          = {PUB:(DE-HGF)11},
      doi          = {10.18154/RWTH-2023-04233},
      url          = {https://publications.rwth-aachen.de/record/956518},
}