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@INBOOK{Williamson:917012,
      author       = {Pommier, Cyril and Coppens, Frederik and
                      Ćwiek-Kupczyńska, Hanna and Faria, Daniel and Beier,
                      Sebastian and Miguel, Célia and Michotey, Célia and
                      D’Anna, Flora and Owen, Stuart and Gruden, Kristina},
      editor       = {Williamson, Hugh F. and Leonelli, Sabina},
      title        = {{P}lant {S}cience {D}ata {I}ntegration, from {B}uilding
                      {C}ommunity {S}tandards to {D}efining a {C}onsistent {D}ata
                      {L}ifecycle},
      address      = {Cham},
      publisher    = {Springer International Publishing},
      reportid     = {FZJ-2023-00278},
      year         = {2023},
      comment      = {Towards Responsible Plant Data Linkage: Data Challenges for
                      Agricultural Research and Development / Williamson, Hugh F.
                      (Editor) ; Cham : Springer International Publishing, 2023,
                      Chapter 8 ; ISBN: 978-3-031-13275-9 ;
                      doi:10.1007/978-3-031-13276-6},
      booktitle     = {Towards Responsible Plant Data
                       Linkage: Data Challenges for
                       Agricultural Research and Development /
                       Williamson, Hugh F. (Editor) ; Cham :
                       Springer International Publishing,
                       2023, Chapter 8 ; ISBN:
                       978-3-031-13275-9 ;
                       doi:10.1007/978-3-031-13276-6},
      abstract     = {FAIR (Findable, Accessible, Interoperable, Reusable) data
                      principles for plant research build upon experience from
                      other life science domains such as genomics. But plant
                      specificities, e.g. plant-environment interactions or
                      phenotypes, require tailored solutions. Major global players
                      have joined forces to answer that challenge with the Minimal
                      Information About a Plant Phenotyping Experiment (MIAPPE,
                      www.miappe.org) that handles general metadata organization
                      and its companion web service API, the Breeding API
                      (www.brapi.org). Both rely on two established data
                      standards, the MultiCrop Passport Descriptors (MCPD) for
                      identification of plant genetic resources and the Crop
                      Ontology (www.cropontology.org) for trait documentation.
                      Researcher communities’ coordination and collaborative
                      approaches have enabled the success and adoption of MIAPPE
                      and led to a general data lifecycle description by ELIXIR
                      Plant Sciences Community to identify gaps and needed
                      developments. A priority has been placed on addressing the
                      “first mile” of data publishing, i.e. the gathering and
                      documentation of data by the researcher, which enables
                      relevant data findability and reusability. Here we describe
                      the existing ecosystem of tools and standards for plant
                      scientists as well as their history, including their
                      convergence through the use of MIAPPE for describing
                      genotyping datasets.},
      typ          = {PUB:(DE-HGF)7},
      doi          = {10.1007/978-3-031-13276-6_8},
      url          = {https://juser.fz-juelich.de/record/917012},
}