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Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/1834/1551

Título : Third ODINCARSA-I Marine Data Management Training Workshop
Corporate Author: IOC for UNESCO
ASFA Terms: Oceanographic data
Fecha de publicación : 2005
Citación : 85
Resumen : The ODINCARSA program has been arranged among the coastal States of South America and the Caribbean area to provide capacity-building workshops and resource materials in the areas of marine data management and marine information management. ODINCARSA is a sub-program of the International Oceanographic Data and Information Exchange Program (IODE) of the Intergovernmental Oceanographic Commission (IOC). The principle focus of the program is to provide sufficient training to mid-level professionals in the participating countries, so that National Ocean Data Centers (NODCs) and associated marine libraries can be founded and well managed. The NODCs will, in turn, become part of the international network of ocean data facilities, which feed data into the World Data Center system. Through these activities, prospective data managers learn about sources of global and regional data, useful software systems for managing and analyzing the data, formats and other specifics concerning the data, and general information about the international systems and programs involved. The training resource used by IODE in all marine data and information capacity-building work is OceanTeacher (www.oceanteacher.org), a multidisciplinary, modular, online resource for formal and informal education. It consists of an encyclopedic Digital Library of resource documents and series of thematic Course Manuals, which direct students through the topical materials. The Digital Library and the Courses have been under continuous development since 2001, stemming from earlier training resources in previous IODE capacity-building programs, mainly in Africa. This workshop has been organized two times before in the framework of the ODINCARSA network and aims at developing basic skills in Data Management.
URI : http://hdl.handle.net/1834/1551
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