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The development and application of e-Geoscience in China

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Abstract

In the era of big data, scientific research is entering a key stage of scientific development under the guidance of a new paradigm, “e-Science”, and the core characteristics of which are collaboration and sharing. In the past decade, e-Science has rapidly developed around the world. There are now e-Science strategic plans, projects and extensive research activities on the national and international scales that encompass particle physics, astronomy, earth science, ecology, marine science, medicine, life sciences and other disciplines. However, there is no uniform and clear understanding of the essence, characteristics, infrastructure and application of e-Geoscience. This paper first discusses and analyzes the development of e-Science in a global context and then explores its development in China. Next, the development of e-Geoscience is discussed, particularly regarding the details of its design and implementation in China, including a conceptual model, a mode of application, a logical hierarchy, and functional and technical systems. Finally, the paper introduces a typical application, called the Northeast Asia Joint Scientific Exploration and Cooperative Research Platform (NAJSECRP), which is operating in research institutions in China, Russia and Mongolia. This platform can not only provide geodata and bibliographies and promote resource sharing but also provides a collaborative research platform for scientific exploration. In practice, this platform has been shown to save costs and improve the efficiency of transnational, interdisciplinary scientific exploration and cooperative research.

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References

  • AlSairafi, S., Emmanouil, F. S., Ghanem, M., Giannadakis, N., Guo, Y., Kalaitzopoulos, D., & Wendel, P. (2003). The design of discovery net: towards open grid services for knowledge discovery. International Journal of High Performance Computing Applications, 17(3), 297–315.

    Article  Google Scholar 

  • Becker, J., Delfmann, P., Dietrich, H. A., Steinhorst, M., & Eggert, M. (2014). Business process compliance checking–applying and evaluating a generic pattern matching approach for conceptual models in the financial sector. Information Systems Frontiers, 1–47. DOI:10.1007/s10796-014-9529-y.

  • Berman, F., Fox, G., & Hey, A.J. (Eds.). (2003). Grid computing: making the global infrastructure a reality (Vol. 2). Wiley.

  • Berriman, G. B., Deelman, E., Juve, G., Rynge, M., & Vöckler, J. S. (2013). he application of cloud computing to scientific workflows: a study of cost and performance. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 371(1983), 20120066.

    Article  Google Scholar 

  • Bi, Z., & Cochran, D. (2014). Big data analytics with applications. Journal of Management Analytics, 1(4), 249–265.

    Article  Google Scholar 

  • Bosin, A., Dessí, N., & Pes, B. (2011). Extending the SOA paradigm to e-Science environments. Future Generation Computer Systems, 27(1), 20–31.

    Article  Google Scholar 

  • Camarinha-Matos, L. M., & Afsarmanesh, H. (2005). Collaborative networks: a new scientific discipline. Journal of Intelligent Manufacturing, 16(4–5), 439–452.

    Article  Google Scholar 

  • Cancian, M. H., Rabelo, R., & von Wangenheim, C. G. (2015). Collaborative business processes for enhancing partnerships among software services providers. Enterprise Information Systems, 9(5–6), 634–659.

    Google Scholar 

  • Chinese Academy of Sciences, Ministry of Education of the People's Republic of China & National Natural Science Foundation of China. China's e-Science Blue Book (2011). Beijing: Science Press, 2011.

  • Cragin, M. H., Palmer, C. L., Carlson, J. R., & Witt, M. (2010). Data sharing, small science and institutional repositories. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 368(1926), 4023–4038.

    Article  Google Scholar 

  • De Roure, D., Page, K. R., Fields, B., Crawford, T., Downie, J. S., & Fujinaga, I. (2011). An e-Research approach to Web-scale music analysis. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 369, 3300–3317.

    Article  Google Scholar 

  • Deelman, E., Gannon, D., Shields, M., & Taylor, I. (2009). Workflows and e-Science: an overview of workflow system features and capabilities. Future Generation Computer Systems, 25(5), 528–540.

    Article  Google Scholar 

  • Duan, L., & Xiong, Y. (2015). Big data analytics and business analytics. Journal of Management Analytics, 2(1), 1–21.

    Article  Google Scholar 

  • Fang, S., Pei, H., Liu, Z., Beven, K., & Wei, Z. (2010). Water resources assessment and regional virtual water potential in the Turpan Basin, China. Water Resources Management, 24(13), 3321–3332.

    Article  Google Scholar 

  • Fang, S., Yan, J., Che, M., Zhu, Y., Liu, Z., Pei, H., & Lin, X. (2013). Climate change and the ecological responses in Xinjiang, China: model simulations and data analyses. Quaternary International, 311, 108–116.

    Article  Google Scholar 

  • Fang, S., Xu, L., Pei, H., Liu, Y., Liu, Z., Zhu, Y., Yan, J., & Zhang, H. (2014a). An integrated approach to snowmelt flood forecasting in water resource management. IEEE Transactions on Industrial Informatics, 10(1), 548–558.

    Article  Google Scholar 

  • Fang, S., Xu, L., Zhu, Y., Ahati, J., Pei, H., Yan, J., & Liu, Z. (2014b). An integrated system for regional environmental monitoring and management based on internet of things. IEEE Transactions on Industrial Informatics, 10(2), 1596–1605.

    Article  Google Scholar 

  • Fang, S., Xu, L., Zhu, Y., Liu, Y., Liu, Z., Pei, H., & Zhang, H. (2015). An integrated information system for snowmelt flood early-warning based on internet of things. Information Systems Frontiers, 17(2), 321–335.

    Article  Google Scholar 

  • Foster, I. (2005). Globus toolkit version 4: Software for service-oriented systems. In Network and parallel computing (pp. 2–13). Springer Berlin Heidelberg.

  • Fox, G. (2002). E-science meets computational science and information technology. Computing in Science & Engineering, 4(4), 84–85.

    Article  Google Scholar 

  • Gosling, S. N., Bretherton, D., Haines, K., & Arnell, N. W. (2010). Global hydrology modelling and uncertainty: running multiple ensembles with a campus grid. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 368(1926), 4005–4021.

    Article  Google Scholar 

  • Gungor, V. C., Sahin, D., Kocak, T., Ergut, S., Buccella, C., Cecati, C., & Hancke, G. P. (2011). Smart grid technologies: communication technologies and standards. IEEE Transactions on Industrial Informatics, 7(4), 529–539.

    Article  Google Scholar 

  • Halfpenny, P., & Procter, R. (2010). The e-social science research agenda. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 368(1925), 3761–3778.

    Article  Google Scholar 

  • He, W., & Xu, L. (2015). A state-of-the-art survey of cloud manufacturing. International Journal of Computer Integrated Manufacturing, 28(3), 239–250.

    Article  Google Scholar 

  • He, W., Yan, G., & Da Xu, L. (2014). Developing vehicular data cloud services in the IoT environment. IEEE Transactions on Industrial Informatics, 10(2), 1587–1595.

    Article  Google Scholar 

  • Hey, T., & Trefethen, A. E. (2002). The UK e-science core programme and the grid. Future Generation Computer Systems, 18(8), 1017–1031.

    Article  Google Scholar 

  • Hey, T., & Trefethen, A. E. (2005). Cyberinfrastructure for e-Science. Science, 308(5723), 817–821.

    Article  Google Scholar 

  • Jankowski, N. W. (2007). Exploring e-Science: an introduction. Journal of Computer-Mediated Communication, 12(2), 549–562.

    Article  Google Scholar 

  • Jansson, K., Uoti, M., & Karvonen, I. (2015). Services supporting collaborative alignment of engineering networks. Enterprise Information Systems, 9(5–6), 499–527.

    Google Scholar 

  • Jung, J. J., Chang, Y. S., Liu, Y., & Wu, C. C. (2012). Advances in intelligent grid and cloud computing. Information Systems Frontiers, 14(4), 823–825.

    Article  Google Scholar 

  • Kueffer, C., Underwood, E., Hadorn, G. H., Holderegger, R., Lehning, M., Pohl, C., & Edwards, P. (2012). Enabling effective problem-oriented research for sustainable development. Ecology and Society, 17(4), 8.

    Article  Google Scholar 

  • Li, C., & Li, L. (2012). An efficient resource allocation for maximizing benefit of users and resource providers in ad hoc grid environment. Information Systems Frontiers, 14(5), 987–998.

    Article  Google Scholar 

  • Li, G., & Wei, M. (2014). Everything-as-a-service platform for on-demand virtual enterprises. Information Systems Frontiers, 16(3), 435–452.

    Article  Google Scholar 

  • Li, S., Da Xu, L., & Zhao, S. (2015). The internet of things: a survey. Information Systems Frontiers, 17(2), 243–259.

    Article  Google Scholar 

  • Lynch, C. (2008). Big data: how do your data grow? Nature, 455(7209), 28–29.

    Article  Google Scholar 

  • Malleson, N., & Birkin, M. (2011). Towards victim-oriented crime modelling in a social science e-infrastructure. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 369(1949), 3353–3371.

    Article  Google Scholar 

  • Pang, Z., Zheng, L., Tian, J., Kao-Walter, S., Dubrova, E., & Chen, Q. (2015). Design of a terminal solution for integration of in-home health care devices and services towards the internet-of-things. Enterprise Information Systems, 9(1), 86–116.

    Article  Google Scholar 

  • Peachey, T., Mashkina, E., Lee, C. Y., Enticott, C., Abramson, D., Bond, A. M., & Kennedy, G. F. (2011). Leveraging e-Science infrastructure for electrochemical research. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 369(1949), 3336–3352.

    Article  Google Scholar 

  • Ribes, D., & Bowker, G. C. (2008). 17 organizing for multidisciplinary collaboration: the case of the geosciences network. In scientific collaboration on the internet (pp. 311–330). Cambridge: the MIT Press.

    Google Scholar 

  • Scholl, T., Bauer, B., Gufler, B., Kuntschke, R., Reiser, A., & Kemper, A. (2009). Scalable community-driven data sharing in e-science grids. Future Generation Computer Systems, 25(3), 290–300.

    Article  Google Scholar 

  • Sekiguchi, S., Tanaka, Y., Kojima, I., Yamamoto, N., Yokoyama, S., Tanimura, Y., & Tsuchida, S. (2008). Design principles and IT overviews of the GEO grid. Systems Journal, IEEE, 2(3), 374–389.

    Article  Google Scholar 

  • Stegaru, G., Danila, C., Sacala, I. S., Moisescu, M., & Stanescu, A. M. (2015). E-Services quality assessment framework for collaborative networks. Enterprise Information Systems, 9(5–6), 583–606.

    Google Scholar 

  • Sun, Y., Tan, W., Li, L., Shen, W., Bi, Z., & Hu, X. (2015). A new method to identify collaborative partners in social service provider networks. Information Systems Frontiers, 1–14. doi: 10.1007/s10796-015-9547-4.

  • Taylor, J.M. (2001). See www.e-science.clrc.ac.uk.

  • Taylor, I. J., Deelman, E., Gannon, D. B., & Shields, M. (2014). Workflows for e-Science: scientific workflows for grids. Springer Publishing Company, Incorporated.

  • Thota, A., Luckow, A., & Jha, S. (2011). Efficient large-scale replica-exchange simulations on production infrastructure. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 369(1949), 3318–3335.

    Article  Google Scholar 

  • Tolle, K. M., Tansley, D., & Hey, A. J. (2011). The fourth paradigm: data-intensive scientific discovery [point of view]. Proceedings of the IEEE, 99(8), 1334–1337.

    Article  Google Scholar 

  • Wang, C., Bi, Z., & Da Xu, L. (2014). IoT and cloud computing in automation of assembly modeling systems. IEEE Transactions on Industrial Informatics, 10(2), 1426–1434.

    Article  Google Scholar 

  • Whitmore, A., Agarwal, A., & Da Xu, L. (2015). The internet of things—a survey of topics and trends. Information Systems Frontiers, 17(2), 261–274.

    Article  Google Scholar 

  • Xu, L. (2011). Enterprise systems: state-of-the-art and future trends. IEEE Transactions on Industrial Informatics, 7(4), 630–640.

    Article  Google Scholar 

  • Xu, L. (2014). Engineering informatics: state of the art and future trends. Frontiers of Engineering Management, 1(3), 277–288.

    Article  Google Scholar 

  • Xu L. (2015). Enterprise Integration and Information Architecture: A Systems Perspective on Industrial Information Integration, CRC Press, ISBN 9781439850244.

  • Yan B. (2004). http://www.oit.umd.edu/cans/2002/Presentations/YanBaoping.ppt.

  • Yang, X., Blower, J. D., Bastin, L., Lush, V., Zabala, A., Masó, J., & Lumsden, J. (2013). An integrated view of data quality in Earth observation. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 371(1983), 20120072.

  • Zhuge, H. (2004). China's e-science knowledge grid environment. IEEE Intelligent Systems, 19(1), 13–17.

    Article  Google Scholar 

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Acknowledgments

This paper was jointly funded by the National Natural Science Foundation of China (No. 41371381 and No. 41201097), National Special Program on Basic Science and Technology Research of China (2013FY110900), Global Change Ecology Science and Technology Cloud of e-Science Special Program of Chinese Academy of Science, National Major Scientific Equipment Development Projects (2012YQ06002704), Science and Technology Project of Yunnan Province (2012CA021) and the Data Sharing Infrastructure of Earth System Science of China.

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Authors and Affiliations

  1. State Key Laboratory of Resources and Environmental Information Systems, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China

    Yunqiang Zhu, Peng Pan, Shifeng Fang & Jia Song

  2. Xinjiang Academy of Environmental Protection Science, Urumqi, 830011, China

    Shifeng Fang

  3. Department of Information Technology and Decision Sciences, Old Dominion University, Norfolk, VA, 23529, USA

    Li Da Xu

  4. School of Computer Science, South China Normal University, Guangzhou, 510631, China

    Jinqu Zhang

  5. Global Land Cover Facility, Department of Geographical Sciences, University of Maryland, College Park, MD, 20742, USA

    Min Feng

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  1. Yunqiang Zhu
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Correspondence to Shifeng Fang.

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Zhu, Y., Pan, P., Fang, S. et al. The development and application of e-Geoscience in China. Inf Syst Front 18, 1217–1231 (2016). https://doi.org/10.1007/s10796-015-9571-4

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