Abstract

Digital public goods (DPGs), if implemented with effective policies, can facilitate the realization of the United Nations Sustainable Development Goals (SDGs). However, there are ongoing deliberations on how to define DPGs and assure that society can extract the maximum benefit from the growing number of digital resources. The International Research Center of Big Data for Sustainable Development Goals (CBAS) sees DPGs as an important mechanism to facilitate information-driven policy and decision-making processes for the SDGs. This article presents the results of a CBAS survey of 51 respondents from around the world spanning multiple scientific fields, who shared their expert opinions on DPGs and their thoughts about challenges related to their practical implementation in supporting the SDGs. Based on the survey results, the paper presents core principles in a proposed strategy, including establishment of international standards, adherence to open science and open data principles, and scalability in monitoring SDG indicators. A community-driven strategy to develop DPGs is proposed to accelerate DPG production in service of the SDGs while adhering to the core principles identified in the survey.

Details

Title
A future for digital public goods for monitoring SDG indicators
Author
Liang, Dong 1   VIAFID ORCID Logo  ; Guo, Huadong 2   VIAFID ORCID Logo  ; Nativi, Stefano 3   VIAFID ORCID Logo  ; Kulmala, Markku 4   VIAFID ORCID Logo  ; Shirazi, Zeeshan 5 ; Chen, Fang 2 ; Kalonji, Gretchen 6 ; Yan, Dongmei 7 ; Li, Jianhui 8 ; Duerler, Robert 9 ; Luo, Lei 10 ; Han, Qunli 11 ; Deng, Siming 10   VIAFID ORCID Logo  ; Wang, Yuanyuan 10 ; Kong, Lingyi 10 ; Jelinek, Thorsten 12   VIAFID ORCID Logo 

1  International Research Center of Big Data for Sustainable Development Goals, Beijing, China; Chinese Academy of Sciences, Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309) 
2  International Research Center of Big Data for Sustainable Development Goals, Beijing, China (GRID:grid.9227.e); Chinese Academy of Sciences, Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309); University of Chinese Academy of Sciences, Beijing, China (GRID:grid.410726.6) (ISNI:0000 0004 1797 8419) 
3  Institute of Atmospheric Pollution Research – Unit of Florence, National Research Council of Italy, Roma, Italy (GRID:grid.494655.f) 
4  University of Helsinki, Institute for Atmospheric and Earth System Research, Helsinki, Finland (GRID:grid.7737.4) (ISNI:0000 0004 0410 2071) 
5  International Research Center of Big Data for Sustainable Development Goals, Beijing, China (GRID:grid.7737.4); Chinese Academy of Sciences, Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309) 
6  Sichuan University-The Hong Kong Polytechnic University Institute for Disaster Management and Reconstruction, Chengdu, China (GRID:grid.16890.36) (ISNI:0000 0004 1764 6123) 
7  International Research Center of Big Data for Sustainable Development Goals, Beijing, China (GRID:grid.16890.36); Chinese Academy of Sciences, Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309); University of Chinese Academy of Sciences, Beijing, China (GRID:grid.410726.6) (ISNI:0000 0004 1797 8419) 
8  Chinese Academy of Sciences, Computer Network Information Center, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309) 
9  University of Chinese Academy of Sciences, Beijing, China (GRID:grid.410726.6) (ISNI:0000 0004 1797 8419); Chinese Academy of Sciences, State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309) 
10  International Research Center of Big Data for Sustainable Development Goals, Beijing, China (GRID:grid.9227.e); Chinese Academy of Sciences, Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309) 
11  International Science Council, Integrated Research on Disaster Risk, Beijing, China (GRID:grid.9227.e) 
12  Taihe Institute, Beijing, China (GRID:grid.9227.e) 
Pages
875
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20524463
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1038/s41597-023-02803-x
ProQuest document ID
2899188814
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.