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Changing Data Policies in China: Implications for Enabling FAIR Data

  • Lili ZhangEmail author
  • Robert R. Downs
  • Jianhui Li
Conference paper
  • 425 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11473)

Abstract

As fundamental resources of research activities, data is vitally important for scientific progress and general social society. Thus, open data practices are becoming more prevalent and the adoption of the FAIR (Findable, Accessible, Interoperable, and Reusable) principles is fostering open access data from four general perspectives. This paper firstly analyzes the general benefits and necessities of open data and the FAIR principles. Then, data policies in China are described from four views. Subsequently, challenges and opportunities for data usability across disciplinary boundaries and levels of expertise are described. Finally, categories are presented for how data policies in China enable FAIR data in terms of the four views of Chinese data policies. Above all, FAIR data is a good beginning, and for FAIR open data, we still need more efforts on intrinsic data culture, trustworthiness, sustainability, and multilateral cooperation among various stakeholders, as well as consistent and effective approaches for adopting data policies.

Keywords

Data policy FAIR Open data Research data China 

Notes

Acknowledgements

This work is an outcome of the project of “International and National Scientific Data Resources Development Report in China 2018” (No. 2018DDJ1ZZ14) supported by the National Science and Technology Infrastructure Center, and the project “Decision Making Oriented Massive Data Resources Sharing and Governance” (No. 91546125) supported by National Natural Science Foundation of China, and “Big data resources pool and system portal” (No. XDA19020104) funded by the Chinese Academy of Sciences.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Computer Network Information CenterChinese Academy of SciencesBeijingChina
  2. 2.Center for International Earth Science Information NetworkColumbia UniversityPalisadesUSA

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