IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v18y2016i6d10.1007_s10796-015-9571-4.html
   My bibliography  Save this article

The development and application of e-Geoscience in China

Author

Listed:
  • Yunqiang Zhu

    (Chinese Academy of Sciences)

  • Peng Pan

    (Chinese Academy of Sciences)

  • Shifeng Fang

    (Chinese Academy of Sciences
    Xinjiang Academy of Environmental Protection Science)

  • Li Xu

    (Old Dominion University)

  • Jia Song

    (Chinese Academy of Sciences)

  • Jinqu Zhang

    (South China Normal University)

  • Min Feng

    (University of Maryland)

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.

Suggested Citation

  • Yunqiang Zhu & Peng Pan & Shifeng Fang & Li Xu & Jia Song & Jinqu Zhang & Min Feng, 2016. "The development and application of e-Geoscience in China," Information Systems Frontiers, Springer, vol. 18(6), pages 1217-1231, December.
  • Handle: RePEc:spr:infosf:v:18:y:2016:i:6:d:10.1007_s10796-015-9571-4
    DOI: 10.1007/s10796-015-9571-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-015-9571-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10796-015-9571-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Clifford Lynch, 2008. "How do your data grow?," Nature, Nature, vol. 455(7209), pages 28-29, September.
    2. Shifeng Fang & Lida Xu & Yunqiang Zhu & Yongqiang Liu & Zhihui Liu & Huan Pei & Jianwu Yan & Huifang Zhang, 2015. "An integrated information system for snowmelt flood early-warning based on internet of things," Information Systems Frontiers, Springer, vol. 17(2), pages 321-335, April.
    3. Shifeng Fang & Huan Pei & Zhihui Liu & Keith Beven & Zhaocai Wei, 2010. "Water Resources Assessment and Regional Virtual Water Potential in the Turpan Basin, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(13), pages 3321-3332, October.
    4. Jason J. Jung & Yue-Shan Chang & Ying Liu & Chao-Chin Wu, 2012. "Advances in intelligent grid and cloud computing," Information Systems Frontiers, Springer, vol. 14(4), pages 823-825, September.
    5. Shancang Li & Li Da Xu & Shanshan Zhao, 2015. "The internet of things: a survey," Information Systems Frontiers, Springer, vol. 17(2), pages 243-259, April.
    6. Chunlin Li & Layuan Li, 2012. "An efficient resource allocation for maximizing benefit of users and resource providers in ad hoc grid environment," Information Systems Frontiers, Springer, vol. 14(5), pages 987-998, December.
    7. Gang Li & Mingchuan Wei, 2014. "Everything-as-a-service platform for on-demand virtual enterprises," Information Systems Frontiers, Springer, vol. 16(3), pages 435-452, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pan Wang & Ricardo Valerdi & Shangming Zhou & Ling Li, 2015. "Introduction: Advances in IoT research and applications," Information Systems Frontiers, Springer, vol. 17(2), pages 239-241, April.
    2. Claudio Vitari & Elisabetta Raguseo, 2016. "Big data value and financial performance: an empirical investigation [Digital data, dynamic capability and financial performance: an empirical investigation in the era of Big Data]," Post-Print halshs-01923271, HAL.
    3. Cindy-Pamela Lopez & Jose Aguilar & Marco Santorum, 2023. "Autonomous VOs management based on industry 4.0: a systematic literature review," Journal of Intelligent Manufacturing, Springer, vol. 34(3), pages 1275-1291, March.
    4. Qinghua Zheng & Chutong Yang & Haijun Yang & Jianhe Zhou, 2020. "A Fast Exact Algorithm for Deployment of Sensor Nodes for Internet of Things," Information Systems Frontiers, Springer, vol. 22(4), pages 829-842, August.
    5. Damminda Alahakoon & Rashmika Nawaratne & Yan Xu & Daswin Silva & Uthayasankar Sivarajah & Bhumika Gupta, 2023. "Self-Building Artificial Intelligence and Machine Learning to Empower Big Data Analytics in Smart Cities," Information Systems Frontiers, Springer, vol. 25(1), pages 221-240, February.
    6. Peter M. Bednar & Christine Welch, 0. "Socio-Technical Perspectives on Smart Working: Creating Meaningful and Sustainable Systems," Information Systems Frontiers, Springer, vol. 0, pages 1-18.
    7. Michaela Sprenger & Tobias Mettler & Robert Winter, 0. "A viability theory for digital businesses: Exploring the evolutionary changes of revenue mechanisms to support managerial decisions," Information Systems Frontiers, Springer, vol. 0, pages 1-24.
    8. Masoud Zafarzadeh & Magnus Wiktorsson & Jannicke Baalsrud Hauge, 2021. "A Systematic Review on Technologies for Data-Driven Production Logistics: Their Role from a Holistic and Value Creation Perspective," Logistics, MDPI, vol. 5(2), pages 1-32, April.
    9. Ashish Gupta & Amit Deokar & Lakshmi Iyer & Ramesh Sharda & Dave Schrader, 2018. "Big Data & Analytics for Societal Impact: Recent Research and Trends," Information Systems Frontiers, Springer, vol. 20(2), pages 185-194, April.
    10. Siqing Shan & Xin Wen & Yigang Wei & Zijin Wang & Yong Chen, 2020. "Intelligent manufacturing in industry 4.0: A case study of Sany heavy industry," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(4), pages 679-690, July.
    11. Gergely Marcell Honti & Janos Abonyi, 2019. "A Review of Semantic Sensor Technologies in Internet of Things Architectures," Complexity, Hindawi, vol. 2019, pages 1-21, June.
    12. Humphrey M. Sabi & Faith-Michael E. Uzoka & Kehbuma Langmia & Felix N. Njeh & Clive K. Tsuma, 0. "A cross-country model of contextual factors impacting cloud computing adoption at universities in sub-Saharan Africa," Information Systems Frontiers, Springer, vol. 0, pages 1-24.
    13. Blazquez, Desamparados & Domenech, Josep, 2018. "Big Data sources and methods for social and economic analyses," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 99-113.
    14. Federica Cena & Luca Console & Assunta Matassa & Ilaria Torre, 2019. "Multi-dimensional intelligence in smart physical objects," Information Systems Frontiers, Springer, vol. 21(2), pages 383-404, April.
    15. Xiongnan Jin & Sejin Chun & Jooik Jung & Kyong-Ho Lee, 2017. "A fast and scalable approach for IoT service selection based on a physical service model," Information Systems Frontiers, Springer, vol. 19(6), pages 1357-1372, December.
    16. Shang, Juan & Li, Pengfei & Li, Ling & Chen, Yong, 2018. "The relationship between population growth and capital allocation in urbanization," Technological Forecasting and Social Change, Elsevier, vol. 135(C), pages 249-256.
    17. Maria-Lluïsa Marsal-Llacuna, 2019. "How to succeed in implementing (smart) sustainable urban Agendas: “keep cities smart, make communities intelligent”," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(4), pages 1977-1998, August.
    18. Belfiore, Alessandra & Cuccurullo, Corrado & Aria, Massimo, 2022. "IoT in healthcare: A scientometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    19. Takano, Yasutomo & Kajikawa, Yuya, 2019. "Extracting commercialization opportunities of the Internet of Things: Measuring text similarity between papers and patents," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 45-68.
    20. Dameri, Renata Paola & Benevolo, Clara & Veglianti, Eleonora & Li, Yaya, 2019. "Understanding smart cities as a glocal strategy: A comparison between Italy and China," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 26-41.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:infosf:v:18:y:2016:i:6:d:10.1007_s10796-015-9571-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.