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Plant Science Data Integration, from Building Community Standards to Defining a Consistent Data Lifecycle

  • Pommier C
  • Coppens F
  • Ćwiek-Kupczyńska H
  • et al.
Springer International Publishing, (2023), 149-160
DOI: 10.1007/978-3-031-13276-6_8
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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....

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Pommier, C., Coppens, F., Ćwiek-Kupczyńska, H., Faria, D., Beier, S., Miguel, C., … Gruden, K. (2023). Plant Science Data Integration, from Building Community Standards to Defining a Consistent Data Lifecycle. In Towards Responsible Plant Data Linkage: Data Challenges for Agricultural Research and Development (pp. 149–160). Springer International Publishing. https://doi.org/10.1007/978-3-031-13276-6_8

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