将数据素养纳入发展议程。促进实现可持续发展目标(sdg)

IASSIST quarterly Pub Date : 2021-12-26 DOI:10.29173/iq1003
Tumuhairwe G. Kabatangare
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引用次数: 1

摘要

以“信息通信技术”(ICT)为基础的数据素养为特征的“第四次工业革命”(4IR)时代,涉及研究数据收集、文件编制、保存、知识产权保护/控制和传播,是实现联合国(UN)全球减贫议程可持续发展目标的功能性催化剂;根除饥饿;安全用水可及性、可持续能源可及性;“可持续森林管理”;气候变化适应能力;“减少灾害风险”;保护生物多样性;到2030年实现社会和性别平等。该研究采用纸质文献综述研究设计,将“基于ICT的数字数据素养”(因变量)的概念化为“催化实现联合国(UN)全球议程的可持续发展目标”(自变量),“固有挑战”(干预变量),如互联网基础设施差,数字数据文盲和高电力成本等。全球政府部门和机构(mda)正在管理大量(大)数字数据,以支持战略决策、政策实施和运营优化(监测和评估),以实现可持续发展目标。这需要有效的数字数据分析能力(素养),以促进基于可持续发展目标的数据处理,从而使全球政府MDAs能够准确地利用数据进行政策实施和决策,以有效实现可持续发展目标。研究结果建议扩大数字数据素养和互联网基础设施发展以及电力可及性,特别是在发展中国家。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data literacy integration into development agenda. A catalyst to achieving the Sustainable Development Goals (SDGs)
The ‘Fourth Industrial Revolution’ (4IR) era characterized by ‘Information Communication Technology’ (ICT) based data literacy with respect to research data collection, documentation, preservation, intellectual protection / control and dissemination is a functional catalyst  in enabling the realization of the SDGs of the United Nations (UN) global agenda on poverty reduction; hunger eradication; safe water accessibility, sustainable energy accessibility; ‘Sustainable Forest Management’ (SFM); climate change resilience; ‘Disaster Risk Reduction’ (DRR); biodiversity conservation and; social and gender equity by 2030. The study, employing a desk bound literature review research design, conceptualized that ‘ICT based digital data literacy’ (dependent variable) can ‘catalyze an enabling of the realization of the SDGs of the United Nations (UN) global agenda’ (independent variable), ‘inherent challenges’ (intervening variable) like poor internet infrastructure, digital data illiteracy and high-power costs among others notwithstanding. Global government ‘Ministries, Departments and Agencies (MDAs) are managing voluminous (big) digital data to support strategic decision making, policy implementation and operational optimization (monitoring and evaluation) towards realizing the SDGs. This requires effective competence (literacy) in digital data analytics to facilitate SDGs based data processing thereby enabling global government MDAs to accurately utilize data for policy implementation and decision making towards effectively realizing the SDGs. The study findings recommend a scaling up of digital data literacy and internet infrastructure development as well as power accessibility in especially developing countries among others. 
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