{"id":21,"date":"2015-11-20T09:43:16","date_gmt":"2015-11-20T09:43:16","guid":{"rendered":"https:\/\/www.w3.org\/community\/bde-food\/?p=21"},"modified":"2015-11-20T09:57:37","modified_gmt":"2015-11-20T09:57:37","slug":"big-data-europe-webinaraims-inras-big-data-perspectives-and-implementation-challenges","status":"publish","type":"post","link":"https:\/\/www.w3.org\/community\/bde-food\/2015\/11\/20\/big-data-europe-webinaraims-inras-big-data-perspectives-and-implementation-challenges\/","title":{"rendered":"Big Data Europe Webinar@AIMS: INRA’s Big Data Perspectives and Implementation Challenges"},"content":{"rendered":"

The AIMS<\/a> team in cooperation with the BigDataEurope<\/a>\u00a0Consortium is pleased to announce the webinar \u201cINRA’s Big Data Perspectives and Implementation Challenge<\/a><\/em>\u201d.<\/p>\n

It will present\u00a0perspectives and implementation challenges of big data for agronomic research organisations.
\nIt is open for information management specialists, librarians, software developers and other interested people.<\/p>\n

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\nAbstract<\/strong><\/p>\n

The “INRA’s Big Data Perspectives and Implementation Challenges” webinar will give a perspective on\u00a0big data\u00a0and implementation challenges for agronomic research organisations such as the\u00a0French National Institute for Agricultural Research\u00a0(INRA<\/a>). The presenter will focus on the characteristics of big data in agriculture using a specific case study on high throughput plant phenotyping where a lot of heterogeneous data need to be generated and managed. This use case shows how to deal with variety of data.<\/p>\n

Presenter<\/strong><\/p>\n

Pascal Neveu<\/a> is director of Mistea Laboratory at Montpellier SupAgro-INRA<\/a>. He is the head of Cati CODEX, center dedicated to data and\u00a0knowledge management. He was the leader of the workpackage \u00ab Data management and knowledge representation \u00bb for CAFE European Project. He teaches at the Montpellier University and the School of Agricultural Engineering topics related to computer science for statistical and numerical computing (R, Scilab, etc) and computer sciences, database design, XML technologies and Information management.<\/p>\n

Date<\/strong><\/p>\n

23rd November 2015 \u00a0– 11:00 Rome Time (Use Time Converter<\/a> to calculate the time difference between your location and Rome, Italy)<\/p>\n

How to join<\/strong><\/p>\n

The session is open to anyone but places are limited. If you are interested to attend the webinar, send an e-mail to AIMS@fao.org<\/a>, containing the following information:<\/p>\n