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Sci-Base: A Resource Aggregation and Sharing Ecology for Software on Discovery Science

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Smart Computing and Communication (SmartCom 2021)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13202))

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Abstract

In the process of open science and Open research, scientific software affects all aspects of scientific research. Open-source scientific software is a cost-effective solution for many universities and research institutions. By exploring the ecological model of scientific software, this paper puts forward a design scheme of a safe and controllable support platform of open-source scientific software through putting the core mechanism of “sharing” and “continuous evaluation” into effect. China Science and technology has made breakthroughs from the four levels of theory and technology, support platform, ecosystem and operation system, and created a proven scientific software ecosystem based on the design scheme, including the service mode of “four platforms and one competition”. The progress of research transparency in scientific research and gradual maturity of scientific software promote the cooperation between community developers. In the course of constructing the scientific open-source ecology, open-source culture has been integrated into scientific researches, continuously gathering excellent open-source scientific software, and gradually creating a favorable environment for scientific research talents. It can not only actively promote the breakthrough of technological monopoly and improve the talent training strategy of independent innovation, but also benefit the public and promote the progress of innovation ability of the whole society.

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Notes

  1. 1.

    http://www.scihub.cstcloud.cn/#/.

  2. 2.

    http://cstsai.cstcloud.cn/#/.

  3. 3.

    http://www.cstos.cstcloud.cn/#/.

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Acknowledgments

This work was partially supported by the Pilot Project in Chinese Academy of Sciences under the contact number XDB38050200, the Beijing Natural Science Foundation-Haidian Original Innovation Joint Foundation (Grant No. L182053), and the Network and Information Project of 14th five-year’s plan in Chinese Academy of Sciences under the contact number WX145XQ09.

Author information

Authors and Affiliations

  1. Computer Network Information Center, Chinese Academy of Sciences, Beijing, China

    Meng Wan, Jiaheng Wang, Jue Wang, Rongqiang Cao, Yangang Wang & He Li

  2. University of Chinese Academy of Sciences, Beijing, China

    Jue Wang, Rongqiang Cao, Yangang Wang & He Li

Authors
  1. Meng Wan
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  2. Jiaheng Wang
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  3. Jue Wang
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  4. Rongqiang Cao
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  5. Yangang Wang
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  6. He Li
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Corresponding author

Correspondence to Jiaheng Wang .

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Editors and Affiliations

  1. Texas A&M University-Commerce, Commerce, TX, USA

    Meikang Qiu

  2. Beijing Institute of Technology, Beijing, Beijing, China

    Keke Gai

  3. Tsinghua University, Beijing, China

    Han Qiu

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Wan, M., Wang, J., Wang, J., Cao, R., Wang, Y., Li, H. (2022). Sci-Base: A Resource Aggregation and Sharing Ecology for Software on Discovery Science. In: Qiu, M., Gai, K., Qiu, H. (eds) Smart Computing and Communication. SmartCom 2021. Lecture Notes in Computer Science, vol 13202. Springer, Cham. https://doi.org/10.1007/978-3-030-97774-0_13

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  • DOI: https://doi.org/10.1007/978-3-030-97774-0_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-97773-3

  • Online ISBN: 978-3-030-97774-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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