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AUTHOR(S): 

Jeonghoon Lee

 

TITLE

LASDA: An Archiving System for Managing and Sharing Large Scientific Data

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ABSTRACT

ICT Technology has cultivated data-intensive and interdisciplinary research paradigm. In various scientific domain, data became an essential mean to advance research and, furthermore, it is considered as great asset to have latent value. Archiving helps researchers or institutes managing their information assets. For managing and sharing data effectively, it is required to provide functionality considering the characteristics of scientific data. We define core functions of an archiving system by analysis of the characteristics of scientific data and compare representative data systems in the view of the functions and performance evaluation. As a result, we present an archiving system design named LASDA for large scientific data using a base repository system that is chosen by functional analysis. Our system is designed to provide enduring facilities for efficient and reliable management of large scientific data. It is planned to implement for Korea national research data service.

KEYWORDS

Archiving system, Scientific data, Big data, Data management, Data sharing

REFERENCES

[1] S. Allard, DataONE: Facilitating eScience through collaboration, Journal of eScience Librarianship, 1.1:3, 2012.

[2] M. Bertazzo and D. Angela, Preserving and delivering audiovisual content integrating Fedora Commons and MediaMosa, Journal of Digital Information, 13.1, 2012.

[3] GT. Chiang, et al., Implementing a genomic data management system using iRODS in the Wellcome Trust Sanger Institute, BMC bioinformatics 12.1, 2011, pp. 361.

[4] Contoural (Inc.), Seven Essential Strategies for Effective Archiving, EMC, Analyst Reports, 2012.

[5] D. Hnich and R. Muller-Pfefferkorn, Managing large datasets with iRODS-A performance analysis, Computer Science and Information Technology (IMCSIT), Proceedings of the 2010 International Multiconference on. IEEE, 2010.

[6] R.L. Grossman, et al., An overview of the open science data cloud. Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing, 2010, pp. 377- 384.

[7] G. King, An introduction to the Dataverse Network as an infrastructure for data sharing, 2007, pp. 173-199.

[8] OECD, Making Open Science a Reality, OECD Science, Technology and Industry Policy Papers, No. 25, OECD Publishing, 2015.

[9] A. Rajasekar, R. Moore, F. Vernon, iRODS: A Distributed Data Management Cyberinfrastructure for Observatories. InAGU Fall Meeting Abstracts, Vol. 1, 2007, pp. 1214.

[10] A. Rajasekar, et al., iRODS Primer: integrated rule-oriented data system, Synthesis Lectures on Information Concepts, Retrieval, and Services 2.1, 2010, pp. 1-143.

[11] A. Shoshani, F. Olken and HK. Wong, Characteristics of Scientific Databases, No. LBL17582-REV., Com. Sci. Research Department, University of California, Lawrence Berkeley Lab., 1984.

Cite this paper

Jeonghoon Lee. (2017) LASDA: An Archiving System for Managing and Sharing Large Scientific Data. International Journal of Computers, 2, 16-20

 

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