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Journal Article 2019

Autor: Pommier, C. Michotey, C. Cornut, G. Roumet, P. Duchêne, E. Flores, R. Lebreton, A. Alaux, M. Durand, S. Kimmel, E. Letellier, T. Merceron, G. Laine, M. Guerche, C. Loaec, M. Steinbach, D. Laporte, M-A. Arnaud, Elizabeth Quesneville, H. Adam-Blondon, Anne-Françoise

GnpIS is a data repository for plant phenomics that stores whole field and greenhouse experimental data including environment measures. It allows long-term access to datasets following the FAIR principles: Findable, Accessible, Interoperable, and Reusable, by using a flexible and original approac...

Enlace original: https://cgspace.cgiar.org/handle/10568/101440

Investigación en Agricultura
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Pommier, C. ,  Michotey, C. ,  Cornut, G. ,  Roumet, P. ,  Duchêne, E. ,  Flores, R. ,  Lebreton, A. ,  Alaux, M. ,  Durand, S. ,  Kimmel, E. ,  Letellier, T. ,  Merceron, G. ,  Laine, M. ,  Guerche, C. ,  Loaec, M. ,  Steinbach, D. ,  Laporte, M-A. ,  Arnaud, Elizabeth ,  Quesneville, H. ,  Adam-Blondon, Anne-Françoise ,  [Applying FAIR Principles to plant phenotypic data management in GnpIS] ,  Applying FAIR Principles to plant phenotypic data management in GnpIS
Conference Paper 2016

Autor: Pommier, C. Alaux, M. Letellier, T. Michotey, C. Cornut, G. Lebreton, A. Labernadiere, M. Laine, M. Arnaud, Elizabeth Adam-Blondon, Anne-Françoise Quesneville, H.

Phenotype data are collected in trials conducted by experimental facilities including multilocal field networks and high throughput phenotyping facilities in controlled environments or fields. A given germplasm panel can therefore have been phenotyped in very different conditions and using very d...

Enlace original: https://cgspace.cgiar.org/handle/10568/78780

Investigación en Agricultura
Enlace permanente
Pommier, C. ,  Alaux, M. ,  Letellier, T. ,  Michotey, C. ,  Cornut, G. ,  Lebreton, A. ,  Labernadiere, M. ,  Laine, M. ,  Arnaud, Elizabeth ,  Adam-Blondon, Anne-Françoise ,  Quesneville, H. ,  [GnpIS-Ephesis, the phenotypic data integration platform for INRA networks experimental data – data discovery and dataset building use cases] ,  GnpIS-Ephesis, the phenotypic data integration platform for INRA networks experimental data – data discovery and dataset building use cases
Journal Article 2016

Autor: Cwiek-Kupczynska, H. Altmann, T. Arend, D. Arnaud, Elizabeth Chen, D. Cornut, G. Fiorani, F. Frohmberg, W. Junker, A. Klukas, C. Lange, M. Mazurek, C. Nafissi, A. Neveu, P. Oeveren, J. van Pommier, C. Poorter, H. Rocca-Serra, P. Sansone, S. Scholz, U. Schriek, M. van Seren, U. Usadel, B. Weise, S.F. Kersey, P. Krajewski, P.

Plant phenotypic data shrouds a wealth of information which, when accurately analysed and linked to other data types, brings to light the knowledge about the mechanisms of life. As phenotyping is a field of research comprising manifold, diverse and time-consuming experiments, the findings can be ...

Enlace original: https://cgspace.cgiar.org/handle/10568/77807

Investigación en Agricultura
Enlace permanente

Cwiek-Kupczynska, H. ,  Altmann, T. ,  Arend, D. ,  Arnaud, Elizabeth ,  Chen, D. ,  Cornut, G. ,  Fiorani, F. ,  Frohmberg, W. ,  Junker, A. ,  Klukas, C. ,  Lange, M. ,  Mazurek, C. ,  Nafissi, A. ,  Neveu, P. ,  Oeveren, J. van ,  Pommier, C. ,  Poorter, H. ,  Rocca-Serra, P. ,  Sansone, S. ,  Scholz, U. ,  Schriek, M. van ,  Seren, U. ,  Usadel, B. ,  Weise, S.F. ,  Kersey, P. ,  Krajewski, P. ,  [Measures for interoperability of phenotypic data: minimum information requirements and formatting] ,  Measures for interoperability of phenotypic data: minimum information requirements and formatting

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