Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/109162
DC Field | Value | Language |
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dc.contributor | Mainland Development Office | - |
dc.creator | Liang, D | - |
dc.creator | Guo, H | - |
dc.creator | Nativi, S | - |
dc.creator | Kulmala, M | - |
dc.creator | Shirazi, Z | - |
dc.creator | Chen, F | - |
dc.creator | Kalonji, G | - |
dc.creator | Yan, D | - |
dc.creator | Li, J | - |
dc.creator | Duerler, R | - |
dc.creator | Luo, L | - |
dc.creator | Han, Q | - |
dc.creator | Deng, S | - |
dc.creator | Wang, Y | - |
dc.creator | Kong, L | - |
dc.creator | Jelinek, T | - |
dc.date.accessioned | 2024-09-19T03:13:46Z | - |
dc.date.available | 2024-09-19T03:13:46Z | - |
dc.identifier.uri | http://hdl.handle.net/10397/109162 | - |
dc.language.iso | en | en_US |
dc.publisher | Nature Publishing Group | en_US |
dc.rights | © The Author(s) 2023 | en_US |
dc.rights | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. | en_US |
dc.rights | The following publication Liang, D., Guo, H., Nativi, S. et al. A future for digital public goods for monitoring SDG indicators. Sci Data 10, 875 (2023) is available at https://doi.org/10.1038/s41597-023-02803-x. | en_US |
dc.title | A future for digital public goods for monitoring SDG indicators | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 10 | - |
dc.identifier.doi | 10.1038/s41597-023-02803-x | - |
dcterms.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. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Scientific data, 2023, v. 10, 875 | - |
dcterms.isPartOf | Scientific data | - |
dcterms.issued | 2023 | - |
dc.identifier.scopus | 2-s2.0-85179905049 | - |
dc.identifier.pmid | 38062062 | - |
dc.identifier.eissn | 2052-4463 | - |
dc.identifier.artn | 875 | - |
dc.description.validate | 202409 bcch | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_Scopus/WOS | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | International Research Center of Big Data for Sustainable Development Goals (CBAS); Chinese Academy of Sciences Strategic Priority Research Program of the Big Earth Data Science Engineering Program (CASEarth); ACCC Flagship of the Academy of Finland | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | CC | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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s41597-023-02803-x.pdf | 7.01 MB | Adobe PDF | View/Open |
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