Understanding Researchers’ Data-Centric Tasks: A Classification of Goals, Gaps, and Resources

Author:

Sun GuangyuanORCID,Liu ChunfengORCID,Peng SiyuanORCID,Li QiaoORCID

Publisher

Springer Nature Switzerland

Reference24 articles.

1. Zins, C.: Conceptual approaches for defining data, information, and knowledge. J. Am. Soc. Inform. Sci. Technol. 58(4), 479–493 (2007)

2. Borgman, C.L.: Big data, little data, no data: Scholarship in the Networked World, p. 383. The MIT Press, Cambridge, MA (2015)

3. United Nations Educational Scientific and Cultural Organization: UNESCO science report: Towards 2030 (2015). http://uis.unesco.org/sites/default/files/documents/unesco-science-report-towards-2030-part1.pdf. Accessed 28 Aug 2023

4. Gregory, K., Groth, P., Scharnhorst, A., Wyatt, S.: Lost or found? Discovering data needed for research. Harvard Data Sci. Rev. 2(2) (2020). https://doi.org/10.1162/99608f92.e38165eb

5. Wang, X., Duan, Q., Liang, M.: Understanding the process of data reuse: an extensive review. J. Am. Soc. Inf. Sci. 72(9), 1161–1182 (2021)

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