Conceptual design for comprehensive research support platform: Successful research data management generating big data from little data

Mamiko Matsubayashi, Keiko Kurata

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

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).

本文言語English
ホスト出版物のタイトルProceedings - 2017 IEEE International Conference on Big Data, Big Data 2017
編集者Jian-Yun Nie, Zoran Obradovic, Toyotaro Suzumura, Rumi Ghosh, Raghunath Nambiar, Chonggang Wang, Hui Zang, Ricardo Baeza-Yates, Ricardo Baeza-Yates, Xiaohua Hu, Jeremy Kepner, Alfredo Cuzzocrea, Jian Tang, Masashi Toyoda
出版社Institute of Electrical and Electronics Engineers Inc.
ページ4407-4409
ページ数3
ISBN(電子版)9781538627143
DOI
出版ステータスPublished - 2017 7 1
イベント5th IEEE International Conference on Big Data, Big Data 2017 - Boston, United States
継続期間: 2017 12 112017 12 14

出版物シリーズ

名前Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017
2018-January

Other

Other5th IEEE International Conference on Big Data, Big Data 2017
国/地域United States
CityBoston
Period17/12/1117/12/14

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • ハードウェアとアーキテクチャ
  • 情報システム
  • 情報システムおよび情報管理
  • 制御と最適化

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