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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Kim J et al (2017) The development of general-purpose scientific data repository for EDISON platform. IJAER 12:12570–12576
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
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
Jmol: an open-source Java viewer for chemical structures in 3D. http://www.jmol.org/
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).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-981-13-1328-8_23
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-1327-1
Online ISBN: 978-981-13-1328-8
eBook Packages: EngineeringEngineering (R0)