Papers

Peer-reviewed
Dec 11, 2017

Conceptual design for comprehensive research support platform

2017 IEEE International Conference on Big Data (Big Data)
  • Matsubayashi Mamiko
  • ,
  • Kurata Keiko

Language
English
Publishing type
Research paper (international conference proceedings)
DOI
10.1109/BigData.2017.8258475

<p>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).</p>

Link information
DOI
https://doi.org/10.1109/BigData.2017.8258475
ID information
  • DOI : 10.1109/BigData.2017.8258475

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