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공공누리This item is licensed Korea Open Government License

dc.contributor.author
안선일
dc.contributor.author
김재성
dc.contributor.author
이정철
dc.contributor.author
이종숙
dc.date.accessioned
2022-03-11T04:48:21Z
dc.date.available
2022-03-11T04:48:21Z
dc.date.issued
2019-08-07
dc.identifier.issn
0038-0644
dc.identifier.uri
https://repository.kisti.re.kr/handle/10580/16321
dc.description.abstract
With the recent emergence of new paradigm – open science and big data, the need for data sharing and collaboration is becoming important in the computational science field as well. The EDISON-DATA platform aims to provide services that computational simulation data can easily published, preserved, shared, reused, discovered and analyzed. First, this paper analyzed computational science platform-related issues, obtained during the development of the EDISON-DATA platform, regarding the sharing and reusing of the computational science data. These issues include data complexity, diversity, reliability, heterogeneity, etc. To solve the above issues and support data analysis in an efficient and integrated manner, this study proposes various ideas used in the EDISON-DATA platform. First, we suggested an automated preprocessing framework to handle the complexity of computational science data. Second, to solve the diversity issue, we presented ways to develop preprocessing logics and data presentation logics customized for each data type. Third, to improve the reliability of computational science data, some quality control and provenance management techniques were presented. Fourth, we proposed a way to manage related data in groups. Fifth, to solve data heterogeneity problem and to analyze data in an integrated way, we let the preprocessing framework to use controlled vocabularies to express descriptive metadata. Lastly, we demonstrated feasibility and usability of the proposed ideas in this paper by presenting a case study of building a research portal service in the materials field based on the EDISON-DATA platform.
dc.language.iso
eng
dc.publisher
Wiley Interscience
dc.relation.ispartofseries
Software: practice & experience;
dc.title
EDISON-DATA: A flexible and extensible platform for processing and analysis of computational science data
dc.identifier.doi
10.1002/spe.2732
dc.citation.number
10
dc.citation.volume
49
dc.contributor.approver
KOAR, ADMIN
dc.date.dateaccepted
2022-03-11T04:48:21Z
dc.date.datesubmitted
2022-03-11T04:48:21Z
dc.identifier.bibliographicCitation
vol. 49, no. 10
dc.identifier.url
https://scienceon.kisti.re.kr/srch/selectPORSrchArticle.do?cn=NART97877396
dc.subject.keyword
계산과학
dc.subject.keyword
데이터
dc.subject.keyword
플랫폼
dc.subject.keyword
유연성
dc.subject.keyword
EDISON
dc.subject.keyword
분석
dc.subject.keyword
computational science data
dc.subject.keyword
platform
dc.subject.keyword
flexible
dc.subject.keyword
analysis
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7. KISTI 연구성과 > 학술지 발표논문
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