Many vocabularies and ontologies are produced to represent and annotate agronomic data. However, those ontologies are spread out, in different formats, of different size, with different structures and from overlapping domains. Therefore, there is need for a common platform to receive and host the...
Jonquet, C.
,
Toulet, A.
,
Arnaud, Elizabeth
,
Aubin, S.
,
Dzale-Yeumo, E.
,
Emonet, V.
,
Graybeal, J.
,
Laporte, M-A.
,
Musen, M.A.
,
Pesce, V.
,
Larmande, Pierre
,
[AgroPortal: a vocabulary and ontology repository for agronomy]
,
AgroPortal: a vocabulary and ontology repository for agronomy
Modern genomic breeding methods rely heavily on very large amounts of phenotyping and genotyping data, presenting new challenges in effective data management and integration. Recently, the size and complexity of datasets have increased significantly, with the result that data is often stored on m...
Selby, P.
,
Abbeloos, R.
,
Backlund, J.E.
,
Guignon, V.
,
Laporte, M-A.
,
Rouard, M.
,
[BrAPI - an application programming interface for plant breeding applications]
,
BrAPI - an application programming interface for plant breeding applications
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...
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
Scientific innovation is increasingly reliant on data and computational resources. Much of today’s
life science research involves generating, processing, and reusing heterogeneous datasets that
are growing exponentially in size. Demand for technical experts (data scientists and
bioinformatici...
Etuk, A.
,
Shaw, F.
,
Gonzalez-Beltran, A.
,
Johnson, D.
,
Laporte, M-A.
,
Rocca-Serra, P.
,
Arnaud, Elizabeth
,
Devare, M.
,
Kersey, P.J.
,
Sansone, S-A.
,
Davey, R.P.
,
[COPO: a metadata platform for brokering FAIR data in the life sciences]
,
COPO: a metadata platform for brokering FAIR data in the life sciences