Solar-Terrestrial Data Analysis and Reference System (STARS) - Its High Potentiality for Collaborative Research | Zendy

Manabu Kunitake | Zendy; Kazunori Yamamoto | Zendy; Shinichi Watari | Zendy; Kentaro Ukawa | Zendy; Hisao Kato | Zendy; Eizen Kimura | Zendy; Yasuhiro Murayama | Zendy; Ken T. Murata | Zendy

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Solar-Terrestrial Data Analysis and Reference System (STARS) - Its High Potentiality for Collaborative Research

Author(s) -

Manabu Kunitake,

Kazunori Yamamoto,

Shinichi Watari,

Kentaro Ukawa,

Hisao Kato,

Eizen Kimura,

Yasuhiro Murayama,

Ken T. Murata

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-040

Subject(s) - scope (computer science) , computer science , transparency (behavior) , usability , metadata , world wide web , data curation , data science , implementation , scripting language , reuse , software engineering , engineering , computer security , human–computer interaction , programming language , waste management , operating system

Cross-sectional studies have become important for an improved understanding of various Solar-Terrestrial Physics (STP) fields, given the great variety and different types of observations from the Sun to the Earth. In order to better combine, compare, and analyze different types of data together, a system named STARS (Solar-Terrestrial data Analysis and Reference System) has been developed. Cross-sectional study requires cooperative work. STARS has two functions for cooperative work, the "Stars Project List (SPL)" and the "Event Listing". The SPL is used for exchanges of plotting information by cooperating persons. The event list database provides all users of STARS hints for recognizing typical occurrences of STP phenomena

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