数据的状态:关于在社会研究中使用“大”和管理数据源的思考

Scot Hunter, M. Shapira
{"title":"数据的状态:关于在社会研究中使用“大”和管理数据源的思考","authors":"Scot Hunter, M. Shapira","doi":"10.46991/bysu:f/2022.13.2.028","DOIUrl":null,"url":null,"abstract":"Recent computing power and storage advancements have meant more data are being collected and stored. Referred to as 'Big data', these data sources offer researchers myriad opportunities to make observations about the social world. These data can be massive, provide insight into whole populations rather than just a sample, and be used to analyse social behaviour in real time. Administrative data, a subcategory under the big data umbrella, also offers researchers abundant opportunities to conduct highly relevant research in many areas, including sociology, social policy, education, health studies and many more. This paper offers reflections on social research during the digital age by examining different forms of data, both 'big' and 'small', and their associated advantages and disadvantages. The paper concludes by suggesting that although big data has some promising elements, it also comes with some limitations and povwill not replace 'traditional' social surveys. And yet, when used in conjunction with social surveys, appropriately and ethically, big data could offer the researchers additional valuable insights.","PeriodicalId":156559,"journal":{"name":"Journal of Sociology: Bulletin of Yerevan University","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The State of Data: Reflections on Using 'Big' and Administrative Data Sources in Social Research\",\"authors\":\"Scot Hunter, M. Shapira\",\"doi\":\"10.46991/bysu:f/2022.13.2.028\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recent computing power and storage advancements have meant more data are being collected and stored. Referred to as 'Big data', these data sources offer researchers myriad opportunities to make observations about the social world. These data can be massive, provide insight into whole populations rather than just a sample, and be used to analyse social behaviour in real time. Administrative data, a subcategory under the big data umbrella, also offers researchers abundant opportunities to conduct highly relevant research in many areas, including sociology, social policy, education, health studies and many more. This paper offers reflections on social research during the digital age by examining different forms of data, both 'big' and 'small', and their associated advantages and disadvantages. The paper concludes by suggesting that although big data has some promising elements, it also comes with some limitations and povwill not replace 'traditional' social surveys. And yet, when used in conjunction with social surveys, appropriately and ethically, big data could offer the researchers additional valuable insights.\",\"PeriodicalId\":156559,\"journal\":{\"name\":\"Journal of Sociology: Bulletin of Yerevan University\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Sociology: Bulletin of Yerevan University\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.46991/bysu:f/2022.13.2.028\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Sociology: Bulletin of Yerevan University","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46991/bysu:f/2022.13.2.028","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

最近计算能力和存储的进步意味着更多的数据正在被收集和存储。这些数据来源被称为“大数据”,为研究人员提供了无数观察社会世界的机会。这些数据可以是海量的,提供对整个人群的洞察,而不仅仅是一个样本,并用于实时分析社会行为。行政数据是大数据保护伞下的一个子类,也为研究人员提供了丰富的机会,在许多领域进行高度相关的研究,包括社会学、社会政策、教育、健康研究等。本文通过研究不同形式的数据,包括“大”和“小”,以及它们相关的优点和缺点,提供了对数字时代社会研究的反思。这篇论文的结论是,尽管大数据有一些有希望的因素,但它也有一些局限性,而且它不会取代“传统的”社会调查。然而,当与社会调查结合使用时,适当和合乎道德,大数据可以为研究人员提供额外的有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The State of Data: Reflections on Using 'Big' and Administrative Data Sources in Social Research
Recent computing power and storage advancements have meant more data are being collected and stored. Referred to as 'Big data', these data sources offer researchers myriad opportunities to make observations about the social world. These data can be massive, provide insight into whole populations rather than just a sample, and be used to analyse social behaviour in real time. Administrative data, a subcategory under the big data umbrella, also offers researchers abundant opportunities to conduct highly relevant research in many areas, including sociology, social policy, education, health studies and many more. This paper offers reflections on social research during the digital age by examining different forms of data, both 'big' and 'small', and their associated advantages and disadvantages. The paper concludes by suggesting that although big data has some promising elements, it also comes with some limitations and povwill not replace 'traditional' social surveys. And yet, when used in conjunction with social surveys, appropriately and ethically, big data could offer the researchers additional valuable insights.
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
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信