How Data for Good is Possible in the Digital Ecology: Origins, Elements, Drivers and Dilemmas

Chu Jiewang, Li Jiaxuan

Library and Information Service ›› 2023, Vol. 67 ›› Issue (10) : 3-14.

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Library and Information Service
PDF(1959 KB)
Library and Information Service ›› 2023, Vol. 67 ›› Issue (10) : 3-14. DOI: 10.13266/j.issn.0252-3116.2023.10.001
THEORETICAL STUDY

How Data for Good is Possible in the Digital Ecology: Origins, Elements, Drivers and Dilemmas

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{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2023, 67(10): 3-14 https://doi.org/10.13266/j.issn.0252-3116.2023.10.001

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