评估伙伴关系在增加利用地球大数据支持可持续发展目标方面的作用:澳大利亚视角

IF 4.2 3区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Z. Mohamed-Ghouse, C. Desha, A. Rajabifard, Michelle Blicavs, Graeme Martin
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引用次数: 1

摘要

领导人越来越多地呼吁改善决策支持,以应对21世纪的人类和环境挑战。17项联合国可持续发展目标(sdg)为这些挑战提供了框架,其中169项目标需要监测和有效实现重要数据。然而,许多目标仍然没有连接到大地球数据能力。在这篇概念性论文中,作者试图回答“伙伴关系如何影响利用大地球数据实现可持续发展目标的进展?”利用《数字地球关键原则》,我们反思了地理空间部门在加强地球大数据使用方面的合作努力和机遇。我们以澳大利亚为例,探讨为实现一个或多个可持续发展目标而采取的合作行动。我们的结论是,利用地球大数据实现可持续发展目标的伙伴关系正在兴起,但在利用伙伴关系的力量实现可持续发展目标的变革性成果方面,仍有很多工作要做。我们提出了四个关键的优先事项:1)多方利益相关者合作,2)定期制定解决问题的周期,3)透明可靠的地理参考数据,以及4)建立和维护信任。为澳大利亚概述了五个“下一步”,这也可以使全球的从业者和领导者在解决可持续发展目标问题方面受益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating the role of partnerships in increasing the use of big Earth data to support the Sustainable Development Goals: an Australian perspective
ABSTRACT Leaders are increasingly calling for improved decision support to manage human and environmental challenges in the 21st Century. The 17 United Nations Sustainable Development Goals (SDGs) provide a framing of these challenges, wherein 169 targets require significant data to be monitored and pursued effectively. However, many targets are still not connected with big Earth data capabilities. In this conceptual paper, the authors sought to answer the question “How are partnerships influencing progress in using big Earth data to address the SDGs?” Using the Pivotal Principles for Digital Earth, we reflect on the geospatial sector’s partnering efforts and opportunities for enhancing the use of big Earth data. We use Australia as a case study to explore partnering for action towards one or more SDGs. We conclude that partnerships are emerging for big Earth data use in addressing the SDGs, but much can still be done to harness the power of partnerships for transformative SDG outcomes. We propose four key enabling priorities: 1) multiple-stakeholder collaboration, 2) regular enactment of the problem-solving cycle, 3) transparent and reliable georeferenced data, and 4) development and preservation of trust. Five “next steps” are outlined for Australia, which can also benefit practitioners and leaders globally in problem-solving for the SDGs.
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来源期刊
Big Earth Data
Big Earth Data Earth and Planetary Sciences-Computers in Earth Sciences
CiteScore
7.40
自引率
10.00%
发文量
60
审稿时长
10 weeks
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