哥伦比亚学费数据集:用于探索哥伦比亚一所公立大学的社会经济地位、职业选择和学费的标签数据集。

IF 1 Q3 MULTIDISCIPLINARY SCIENCES Data in Brief Pub Date : 2025-02-01 DOI:10.1016/j.dib.2024.111242
Fernan A. Villa-Garzon, Maria A. Muñoz-Alarcon, John W. Branch-Bedoya
{"title":"哥伦比亚学费数据集:用于探索哥伦比亚一所公立大学的社会经济地位、职业选择和学费的标签数据集。","authors":"Fernan A. Villa-Garzon,&nbsp;Maria A. Muñoz-Alarcon,&nbsp;John W. Branch-Bedoya","doi":"10.1016/j.dib.2024.111242","DOIUrl":null,"url":null,"abstract":"<div><div>This dataset examines the interplay between socioeconomic status and educational outcomes among students at the Universidad Nacional de Colombia. Collected from publicly available data in collaboration with the National Directorate of Information, the dataset includes anonymized records of 3361 students from multiple university campuses during the first semester of 2021. It captures a diverse array of socioeconomic and academic variables, such as family income, residence type, tuition fee, and career choice, providing a unique basis for studying educational access in Colombia.</div><div>Following authorization from the National Directorate of Information, the dataset underwent a rigorous anonymization and validation process, ensuring data integrity and reproducibility. The data was systematically cleaned and organized to highlight key demographic and socioeconomic variables relevant to student accessibility, persistence, and financial sustainability in higher education.</div><div>With its detailed structure, this dataset is a valuable resource for policymakers and researchers focused on reducing educational inequalities. It supports analyses that reveal how socioeconomic conditions impact educational pathways, enabling the design of targeted interventions to enhance equity in university access and retention. This dataset contributes significantly to the understanding of educational challenges in Colombian public universities, providing a comprehensive basis for the investigation of the socioeconomic factors that influence students' access to and success in higher education.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"58 ","pages":"Article 111242"},"PeriodicalIF":1.0000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11732587/pdf/","citationCount":"0","resultStr":"{\"title\":\"ColombiaTuitionSET: Labeled dataset for exploring socioeconomic status, career selection, and tuition fees at a Colombian public university\",\"authors\":\"Fernan A. Villa-Garzon,&nbsp;Maria A. Muñoz-Alarcon,&nbsp;John W. Branch-Bedoya\",\"doi\":\"10.1016/j.dib.2024.111242\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This dataset examines the interplay between socioeconomic status and educational outcomes among students at the Universidad Nacional de Colombia. Collected from publicly available data in collaboration with the National Directorate of Information, the dataset includes anonymized records of 3361 students from multiple university campuses during the first semester of 2021. It captures a diverse array of socioeconomic and academic variables, such as family income, residence type, tuition fee, and career choice, providing a unique basis for studying educational access in Colombia.</div><div>Following authorization from the National Directorate of Information, the dataset underwent a rigorous anonymization and validation process, ensuring data integrity and reproducibility. The data was systematically cleaned and organized to highlight key demographic and socioeconomic variables relevant to student accessibility, persistence, and financial sustainability in higher education.</div><div>With its detailed structure, this dataset is a valuable resource for policymakers and researchers focused on reducing educational inequalities. It supports analyses that reveal how socioeconomic conditions impact educational pathways, enabling the design of targeted interventions to enhance equity in university access and retention. This dataset contributes significantly to the understanding of educational challenges in Colombian public universities, providing a comprehensive basis for the investigation of the socioeconomic factors that influence students' access to and success in higher education.</div></div>\",\"PeriodicalId\":10973,\"journal\":{\"name\":\"Data in Brief\",\"volume\":\"58 \",\"pages\":\"Article 111242\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2025-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11732587/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Data in Brief\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352340924012046\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data in Brief","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352340924012046","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

本数据集考察了哥伦比亚国立大学学生的社会经济地位和教育成果之间的相互作用。该数据集是与国家信息局合作从公开数据中收集的,包括2021年第一学期来自多个大学校园的3361名学生的匿名记录。它涵盖了一系列不同的社会经济和学术变量,如家庭收入、居住类型、学费和职业选择,为研究哥伦比亚的教育机会提供了独特的基础。根据国家信息管理局的授权,数据集经过了严格的匿名化和验证过程,确保了数据的完整性和可重复性。数据被系统地清理和组织,以突出与学生在高等教育中的可获得性、持久性和财务可持续性相关的关键人口和社会经济变量。该数据集结构详细,是致力于减少教育不平等的政策制定者和研究人员的宝贵资源。它支持揭示社会经济条件如何影响教育途径的分析,使设计有针对性的干预措施能够提高大学入学和留校的公平性。该数据集有助于理解哥伦比亚公立大学的教育挑战,为调查影响学生接受高等教育和取得高等教育成功的社会经济因素提供了全面的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
ColombiaTuitionSET: Labeled dataset for exploring socioeconomic status, career selection, and tuition fees at a Colombian public university
This dataset examines the interplay between socioeconomic status and educational outcomes among students at the Universidad Nacional de Colombia. Collected from publicly available data in collaboration with the National Directorate of Information, the dataset includes anonymized records of 3361 students from multiple university campuses during the first semester of 2021. It captures a diverse array of socioeconomic and academic variables, such as family income, residence type, tuition fee, and career choice, providing a unique basis for studying educational access in Colombia.
Following authorization from the National Directorate of Information, the dataset underwent a rigorous anonymization and validation process, ensuring data integrity and reproducibility. The data was systematically cleaned and organized to highlight key demographic and socioeconomic variables relevant to student accessibility, persistence, and financial sustainability in higher education.
With its detailed structure, this dataset is a valuable resource for policymakers and researchers focused on reducing educational inequalities. It supports analyses that reveal how socioeconomic conditions impact educational pathways, enabling the design of targeted interventions to enhance equity in university access and retention. This dataset contributes significantly to the understanding of educational challenges in Colombian public universities, providing a comprehensive basis for the investigation of the socioeconomic factors that influence students' access to and success in higher education.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Data in Brief
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.
期刊最新文献
Walnut husk transcriptome dataset of codling moth (Cydia pomonella) infestation at different times Sprouting and network data assessed in the chicken aortic ring assay under stimulation with human adipose-derived stem cell secretomes harvested from single cells or spheroids of different sizes Maternal health risk factors dataset: Clinical parameters and insights from rural Bangladesh A dataset of annotated ground-based images for the development of contrail detection algorithms Dataset of vocabulary in Uzbek primary education: Extraction and analysis in case of the school corpus
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1