001     917012
005     20230110132137.0
024 7 _ |a 10.1007/978-3-031-13276-6_8
|2 doi
037 _ _ |a FZJ-2023-00278
100 1 _ |a Williamson, Hugh F.
|b 0
|e Editor
245 _ _ |a Plant Science Data Integration, from Building Community Standards to Defining a Consistent Data Lifecycle
260 _ _ |a Cham
|c 2023
|b Springer International Publishing
295 1 0 |a 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
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336 7 _ |a INBOOK
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336 7 _ |a Output Types/Book chapter
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336 7 _ |a Contribution to a book
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520 _ _ |a 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.
588 _ _ |a Dataset connected to CrossRef Book
700 1 _ |a Leonelli, Sabina
|b 1
|e Editor
700 1 _ |a Pommier, Cyril
|0 P:(DE-HGF)0
|b 2
|e Corresponding author
700 1 _ |a Coppens, Frederik
|b 3
700 1 _ |a Ćwiek-Kupczyńska, Hanna
|b 4
700 1 _ |a Faria, Daniel
|b 5
700 1 _ |a Beier, Sebastian
|b 6
700 1 _ |a Miguel, Célia
|b 7
700 1 _ |a Michotey, Célia
|b 8
700 1 _ |a D’Anna, Flora
|b 9
700 1 _ |a Owen, Stuart
|b 10
700 1 _ |a Gruden, Kristina
|b 11
773 _ _ |a 10.1007/978-3-031-13276-6_8
856 4 _ |u https://juser.fz-juelich.de/record/917012/files/978-3-031-13276-6_8.pdf
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980 _ _ |a USER
980 _ _ |a I:(DE-Juel1)IBG-4-20200403


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