用于人口研究的开放式统计数据的程序性访问:SDMX 标准

IF 2.1 3区 社会学 Q2 DEMOGRAPHY
Frans Willekens
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引用次数: 0

摘要

背景 公共部门发布了大量开放数据和元数据。应用程序接口(API)正在改变数据收集、记录和传播的方式。然而,由于通信协议、数据定义和数据格式的差异,这种转变进展缓慢。人口学是一门数据密集型科学,这一发展与人口学尤其相关。它为数据采集的自动化和数据采集与数据分析的一体化铺平了道路。同时发展的还有识字编程,它可以将文本和计算机代码整合到一个文件中,通过编程访问数据可以使工作流程透明、可验证并易于他人复制。统计数据和元数据交换(SDMX)标准已成为数据和元数据交换的流行选择,它使查找和检索数据和元数据变得简单快捷。查询字符串以标准化的语法构成 URL。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Programmatic access to open statistical data for population studies: The SDMX standard
BACKGROUND The public sector publishes vast amounts of open data and metadata. APIs (application programming interfaces) are transforming the way data are collected, documented, and disseminated. The transformation is slow, however, due to differences in communication protocol, data definition, and data format. The development is of particular relevance to demography, being a data-intensive science. It paves the way to the automation of data acquisition and the integration of data acquisition and data analysis. Together with the parallel development of literate programming, which allows the integration of text and computer code in a single document, programmatic access to data makes workflows transparent, verifiable, and easy to replicate by others. The Statistical Data and Metadata Exchange (SDMX) standard, which has emerged as a popular option for data and metadata exchange, makes finding and retrieving data and metadata easy and swift. Query strings form URLs with a standardised syntax.
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来源期刊
Demographic Research
Demographic Research DEMOGRAPHY-
CiteScore
3.90
自引率
4.80%
发文量
63
审稿时长
28 weeks
期刊介绍: Demographic Research is a free, online, open access, peer-reviewed journal of the population sciences published by the Max Planck Institute for Demographic Research in Rostock, Germany. The journal pioneers an expedited review system. Contributions can generally be published within one month after final acceptance.
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