Disability data and its situational and contextual irrationalities in the Global South

IF 6.5 1区社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY

Big Data & Society Pub Date : 2023-01-01 DOI:10.1177/20539517231160523

Abdul Rohman, Dyah Pitaloka, E. Erlina, Duy Dang, Ade Prastyani

引用次数: 1

Abstract

The inconsistent implementation of disability rights in crisis responses such as the recent COVID-19 pandemic has illuminated the double difficulty that persons with disabilities (PwD) must face. Ableism remains the basis for pandemic responses, leading to a range of irrationalities in collecting and using disability data during critical times. This commentary identifies situational and contextual rationalities in disability data collection and use in Global South. Through vignettes from Indonesia and Vietnam, this commentary illuminates the socio-technical and cultural infrastructure that perpetuates the obscurity of disability rights in the pandemic responses in, respectively, the largest democratic and socialist-communist countries in Southeast Asia. In addition to better listening to the voice of PwD, stronger engagement of organizations of PwD in policy making and programming is advocated for enabling more equitable pandemic preparedness, response, and recovery plans to manifest in future.

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全球发展中国家的残疾数据及其情境和背景的不合理性

在最近的COVID-19大流行等危机应对中，残疾人权利的落实不一致，这表明残疾人必须面临双重困难。残疾歧视仍然是流行病应对的基础，导致在关键时期收集和使用残疾数据方面出现一系列不合理现象。这篇评论指出了全球发展中国家收集和使用残疾数据的情景和背景合理性。通过印度尼西亚和越南的小插曲，本评论阐明了社会技术和文化基础设施，这些基础设施分别在东南亚最大的民主国家和社会主义-共产主义国家的流行病应对中使残疾人权利长期模糊不清。除了更好地倾听残疾人的声音外，还提倡残疾人组织更有力地参与政策制定和方案拟订，以便在未来实现更公平的大流行病防范、应对和恢复计划。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Big Data & Society SOCIAL SCIENCES, INTERDISCIPLINARY-

CiteScore

10.90

自引率

10.60%

发文量

审稿时长

11 weeks

期刊介绍： Big Data & Society (BD&S) is an open access, peer-reviewed scholarly journal that publishes interdisciplinary work principally in the social sciences, humanities, and computing and their intersections with the arts and natural sciences. The journal focuses on the implications of Big Data for societies and aims to connect debates about Big Data practices and their effects on various sectors such as academia, social life, industry, business, and government. BD&S considers Big Data as an emerging field of practices, not solely defined by but generative of unique data qualities such as high volume, granularity, data linking, and mining. The journal pays attention to digital content generated both online and offline, encompassing social media, search engines, closed networks (e.g., commercial or government transactions), and open networks like digital archives, open government, and crowdsourced data. Rather than providing a fixed definition of Big Data, BD&S encourages interdisciplinary inquiries, debates, and studies on various topics and themes related to Big Data practices. BD&S seeks contributions that analyze Big Data practices, involve empirical engagements and experiments with innovative methods, and reflect on the consequences of these practices for the representation, realization, and governance of societies. As a digital-only journal, BD&S's platform can accommodate multimedia formats such as complex images, dynamic visualizations, videos, and audio content. The contents of the journal encompass peer-reviewed research articles, colloquia, bookcasts, think pieces, state-of-the-art methods, and work by early career researchers.