巴西残疾学生隔离情况数据集

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2024-09-28 DOI:10.1016/j.dib.2024.110972

Rafael Verão Françozo , Afonso Henriques Silva Leite , Leonardo Lopes Honda , Felipe Fernandes de Oliveira , Marcio Teixeira Oliveira , Calvin Rodrigues da Costa

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引用次数: 0

摘要

所提供的数据集显示了 2008 年至 2023 年巴西各城市残疾学生和非残疾学生之间的隔离率。学生入学数据来自巴西学校普查的微观数据。隔离率使用差异指数计算，该指数可量化两个人群的差异或隔离程度。数据集由一个包含计算数据的 .csv 文件和巴西各州的专题地图组成，其中突出显示了各城市。这些数据对全纳教育领域的研究人员和决策者非常有用，有助于制定公共政策，消除教育差距，确保残疾人平等接受各级教育。

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A dataset on the segregation of students with disabilities in Brazil

The dataset provided shows the segregation rate between students with and without disabilities in Brazilian cities between 2008 and 2023. Student enrolment data was extracted from the microdata of the Brazilian school census. The segregation rate was calculated using the dissimilarity index, which quantifies how dissimilar or segregated two populations are. The dataset consists of a .csv file with the calculated data and thematic maps of the Brazilian states, highlighting the cities. This data can be useful for researchers in the field of inclusion and decision-makers to support the development of public policies that enable eliminate disparities in education and ensure equal access to all levels of education for the persons with disabilities.

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.