Descubre y comparte nuestro conocimiento público

Se han encontrado 5 recursos

Resultados de búsqueda

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, ElizabethAubin, 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

What is Open Access? Are you uncertain as to what it’s all about and what you can you do to enhance access to your research results? This seminar will give you an overview and update of CGIAR and CIAT’s open access policy, legal context, issues and considerations related to open access, progress ...


Rajasekharan, MayaGil, LJaramillo, MVSaa, CStaiger-Rivas, SimoneZandstra, Megan[Open access essentials: how you can go open access with CIAT?]Open access essentials: how you can go open access with CIAT?

Huising, J.E.Mesele, S.A.Adebayo, F.[The WASHC ISFM legacy database: milestone report 1.6a: develop ISFM database and ISFM data repository]The WASHC ISFM legacy database: milestone report 1.6a: develop ISFM database and ISFM data repository

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 ...


Cwiek-Kupczynska, H.Altmann, T.Arend, D.Arnaud, ElizabethChen, D.Cornut, G.Fiorani, F.Frohmberg, W.Junker, A.Klukas, C.Lange, M.Mazurek, C.Nafissi, A.Neveu, P.Oeveren, J. vanPommier, C.Poorter, H.Rocca-Serra, P.Sansone, S.Scholz, U.Schriek, M. vanSeren, 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

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, ElizabethDevare, 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

Selecciona los documentos para visualizarlos

Nombre del archivo Ver recurso