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

1 Citation (Scopus)

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

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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