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A Science Cloud for Data Intensive Sciences
Author(s) -
Ken T. Murata,
Shinichi Watari,
Tsutomu Nagatsuma,
Manabu Kunitake,
Hidenobu Watanabe,
Kazunori Yamamoto,
Yasufumi Kubota,
Hisao Kato,
Takuya Tsugawa,
Kentaro Ukawa,
Kazuya Muranaga,
Eizen Kimura,
Osamu Tatebe,
Keiichiro Fukazawa,
Yasuhiro Murayama
Publication year - 2013
Publication title -
data science journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.358
H-Index - 21
ISSN - 1683-1470
DOI - 10.2481/dsj.wds-024
Subject(s) - computer science , scope (computer science) , cloud computing , transparency (behavior) , open data , metadata , usability , data science , implementation , open science , data curation , world wide web , data publishing , reuse , publishing , political science , software engineering , engineering , computer security , human–computer interaction , astronomy , physics , waste management , law , programming language , operating system
It is often discussed that the fourth methodology for science research is "informatics". The first methodology is a theoretic approach, the second one is observation and/or experiment, and the third one is computer simulation. Informatics is a new methodology for data intensive science, which is a new concept based on the fact that most scientific data are digitalized and the amount of data is huge. The facilities to support informatics are cloud systems. Herein we propose a cloud system especially designed for science. The basic concepts, design, resources, implementation, and applications of the NICT science cloud are discussed

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