North Atlantic Population Project

世纪末，世界上有五个国家拥有完全数字化的个人人口普查：加拿大、英国、冰岛、挪威和美国。 在世纪末，这五个国家有着密切的经济联系，共同的移民流，并且正在经历快速的社会、经济和人口转型。 因此，这些国家和这一时期的人口普查数据的可用性为国际合作和比较社会研究创造了前所未有的机会。 利用这些数据集可以研究妇女和儿童的就业、家政服务、膳宿、婚姻模式、老年人和儿童的生活安排、按行业和职业分列的就业、自营职业和国内移徙等专题。 此外，由于数据集包含的是整个人口而不是样本的信息，因此可以对分散的小人口分组进行研究，但是，要利用利用这些数据来推动各个领域的研究，就需要在五个组织之间开展合作，这五个组织一直是在五个国家创建和传播数据的核心。 供资机构已经支持收集数据，但比较研究需要五个组织同步努力，使数据具有可比性。 该项目通过完成以下任务实现同步：开发变量的共同分类系统，创建网络软件，使多个国家的研究人员能够共享编码信息，记录变量定义和编码的可比性，创建机器可读数据，并通过每个国家的镜像网站向研究人员传播数据。

Five countries in the world possess completely digitized individual-level censuses for the late nineteenth century: Canada, Great Britain, Iceland, Norway, and the United States. At the end of the nineteenth century, these five nations had close economic ties, shared migration flows, and were undergoing rapid social, economic, and demographic transitions. The availability of census data for these nations and this time period thus creates unprecedented opportunities for international collaborative and comparative social research. The data sets allow for study of topics such as the employment of women and children, domestic service, boarding and lodging, marriage patterns, living arrangements of the aged and children, employment by industry and occupation, self-employment, and internal migration. Moreover, because the data sets contain information on entire populations rather than samples, they allow for the study of small and dispersed population subgroups.However, taking advantage of the opportunities to use these data to advance research in a variety of fields requires collaboration among five organizations that have been central to the creation and dissemination of the data in the five countries. Funding agencies have already supported the collection of the data, but comparative research requires synchronized efforts among the five organizations to make the data comparable. This project provides for synchronization by completing the following tasks: developing common classification systems for the variables, creating web-based software that allows researchers in multiple countries to share coding information, documenting the comparability of variable definitions and coding, creating machine-readable data, and disseminating the data to researchers through mirrored websites in each country.