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

Mamiko Matsubayashi, Keiko Kurata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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).

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE International Conference on Big Data, Big Data 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4407-4409
Number of pages3
Volume2018-January
ISBN (Electronic)9781538627143
DOIs
Publication statusPublished - 2018 Jan 12
Event5th IEEE International Conference on Big Data, Big Data 2017 - Boston, United States
Duration: 2017 Dec 112017 Dec 14

Other

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

Fingerprint

Upper atmosphere
Data integration
Conceptual Design
Data Management
Conceptual design
Information management
Communication
Data Sharing
Data Integration
Japan
Atmosphere
Data analysis
Big data
Data management
Universities
Data sharing
Conceptual framework

Keywords

  • data archive
  • data sharing
  • open science
  • research data management
  • scholarly communication

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems
  • Information Systems and Management
  • Control and Optimization

Cite this

Matsubayashi, M., & Kurata, K. (2018). Conceptual design for comprehensive research support platform: Successful research data management generating big data from little data. In Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017 (Vol. 2018-January, pp. 4407-4409). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BigData.2017.8258475

Conceptual design for comprehensive research support platform : Successful research data management generating big data from little data. / Matsubayashi, Mamiko; Kurata, Keiko.

Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 4407-4409.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Matsubayashi, M & Kurata, K 2018, Conceptual design for comprehensive research support platform: Successful research data management generating big data from little data. in Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017. vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 4407-4409, 5th IEEE International Conference on Big Data, Big Data 2017, Boston, United States, 17/12/11. https://doi.org/10.1109/BigData.2017.8258475
Matsubayashi M, Kurata K. Conceptual design for comprehensive research support platform: Successful research data management generating big data from little data. In Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017. Vol. 2018-January. Institute of Electrical and Electronics Engineers Inc. 2018. p. 4407-4409 https://doi.org/10.1109/BigData.2017.8258475
Matsubayashi, Mamiko ; Kurata, Keiko. / Conceptual design for comprehensive research support platform : Successful research data management generating big data from little data. Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. pp. 4407-4409
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