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Conceptual design for comprehensive research support platform


Using Big Data Analytics to Cr
Abstract


Data sharing, which is hot issues in scholarly communication, is regarded as generating big data from little data in little science. In this article, a conceptual framework for research support platform in university is proposed, by the survey of two cases of representative and subject-based data archives in Japan; Data Integration and Analysis System Program (DIAS) and Inter-university Upper atmosphere Global Observation Network (IUGONET).

KeyWords
research data management, data sharing, data archive, scholarly communication,open science



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