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View Designer: Building Extensible and Customizable Presentation for Various Scientific Data

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Advanced Multimedia and Ubiquitous Engineering (MUE 2018, FutureTech 2018)

Abstract

Recent increasing demand for Open Science leads pervasive scientific data to a public domain to improve the efficiency of research and education by sharing data with communities. There have been many data repository/platform proposed to store various and complicated data, however, the data visualization method has not been deeply researched yet. Since the most of their view pages are tightly-coupled with the corresponding dataset, the more views should be made as the diversity of datasets increases. It might be redundant as well as difficult to respond to various types of data. Hence, we propose a view designer, based on a simple drag-n-drop method to be developed by domain scientists easily and quickly. Such environment can provide flexible representation methods that fit requirements from the communities. In addition, our solution uses HTML without any program codes for executing of a server such as JSP, so data security could be maintained.

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References

  1. Kim J et al (2017) The development of general-purpose scientific data repository for EDISON platform. IJAER 12:12570–12576

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  2. Yu J et al (2013) EDISON platform: a software infrastructure for application-domain neutral computational science simulations. In: Future information communication technology and applications. Springer, Netherlands, pp 283–291

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  3. Ahn S, Data quality assurance for the simulation data analysis in the EDISON-SDR. In: The convergent research society among humanities, sociology, science and technology

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  4. Jmol: an open-source Java viewer for chemical structures in 3D. http://www.jmol.org/

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Acknowledgements

This research was supported by the EDISON Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (No. NRF-2011-0020576), the KISTI Program (No. K-17-L01-C02).

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Correspondence to Jaesung Kim .

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© 2019 Springer Nature Singapore Pte Ltd.

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Kim, J., Ahn, S., Lee, J., Lee, S., Cho, K. (2019). View Designer: Building Extensible and Customizable Presentation for Various Scientific Data. In: Park, J., Loia, V., Choo, KK., Yi, G. (eds) Advanced Multimedia and Ubiquitous Engineering. MUE FutureTech 2018 2018. Lecture Notes in Electrical Engineering, vol 518. Springer, Singapore. https://doi.org/10.1007/978-981-13-1328-8_23

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  • DOI: https://doi.org/10.1007/978-981-13-1328-8_23

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1327-1

  • Online ISBN: 978-981-13-1328-8

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