可持续发展目标16监测中的民间社会数据:利用社会网络测量歧视感知的案例研究

Q1 Multidisciplinary
Victor Arevalo Cabra, Karen Chávez Quintero, Andrés D. Pérez, Grace Torres Pineda, Julieth Solano Villa, Vahan Martirosyan
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引用次数: 0

摘要

近年来,由于额外需要更及时和分类的数据,在统计编制中越来越多地使用非传统数据来源。在非传统来源的范围内,公民科学代表了一种填补数据空白的创新方法,并将公民作为国家统计局(nso)在统计数据的产生及其作为国家统计系统(nss)数据管理员的角色的最新创新过程的一部分。哥伦比亚国家统计局(DANE)在可持续发展目标16中可持续发展目标指标Data4Now倡议框架内组织了一个项目,利用社交网络作为公民生成数据的另一种来源
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Civil Society Data for Sustainable Development Goal 16 Monitoring: A Case Study of the Use of Social Networks for Measuring Perception of Discrimination
In recent years, the use of nontraditional data sources in statistical production has been increasing, given the additional need for more timely and disaggregated data. In the scope of nontraditional sources, citizen science represents an innovative approach to filling data gaps and including citizens as part of the recent innovation processes of national statistical offices (NSOs) in both the production of statistics and its role as data stewards of the national statistical systems (NSSs). The National Statistical Office of Colombia (DANE, acronym in Spanish) has structured a project within the framework of the Data4Now initiative for Sustainable Development Goal (SDG) indicators from SDG 16, using social networks as an alternative source of data generated by citizens
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来源期刊
Citizen Science Theory and Practice
Citizen Science Theory and Practice Multidisciplinary-Multidisciplinary
CiteScore
4.70
自引率
0.00%
发文量
25
审稿时长
45 weeks
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