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来源类型 | Publication |
AAPOR Report on Big Data | |
Task Force Members Include: Lilli Japec; Frauke Kreuter; Marcus Berg; Paul Biemer; Paul Decker; Cliff Lampe; Julia Lane; Cathy O'; Neil; and Abe Usher | |
发表日期 | 2015-02-12 |
出版者 | Prepared for AAPOR Council by the Task Force |
出版年 | 2015 |
语种 | 英语 |
概述 | In recent years we have seen an increase in the amount of statistics in society describing different phenomena based on so called Big Data. ", |
摘要 | In recent years we have seen an increase in the amount of statistics in society describing different phenomena based on so called Big Data. The term Big Data is used for a variety of data as explained in the report, many of them characterized not just by their large volume, but also by their variety and velocity, the organic way in which they are created, and the new types of processes needed to analyze them and make inference from them. The change in the nature of the new types of data, their availability, the way in which they are collected, and disseminated are fundamental. The change constitutes a paradigm shift for survey research. There is a great potential in Big Data but there are some fundamental challenges that have to be resolved before its full potential can be realized. In this report we give examples of different types of Big Data and their potential for survey research. We also describe the Big Data process and discuss its main challenges. |
URL | https://www.mathematica.org/our-publications-and-findings/publications/aapor-report-on-big-data |
来源智库 | Mathematica Policy Research (United States) |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/487979 |
推荐引用方式 GB/T 7714 | Task Force Members Include: Lilli Japec,Frauke Kreuter,Marcus Berg,et al. AAPOR Report on Big Data. 2015. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
BigDataTaskForceRepo(1341KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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