The Intermediate Data Structure (IDS) for Longitudinal Historical Microdata, version 4.

Historical life course studies Pub Date : 2014-01-01 Epub Date: 2014-05-26
George Alter, Kees Mandemakers
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Abstract

The Intermediate Data Structure (IDS) is a standard data format that has been adopted by several large longitudinal databases on historical populations. Since the publication of the first version in Historical Social Research in 2009, two improved and extended versions have been published in the Collaboratory Historical Life Courses. In this publication we present version 4 which is the latest 'official' standard of the IDS. Discussions with users over the last four years resulted in important changes, like the inclusion of a new table defining the hierarchical relationships among 'contexts,' decision schemes for recording relationships, additional fields in the metadata table, rules for handling stillbirths, a reciprocal model for relationships, guidance for linking IDS data with geospatial information, and the introduction of an extended IDS for computed variables.

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纵向历史微观数据的中间数据结构(IDS),版本4。
中间数据结构(IDS)是一种标准数据格式,已被几个关于历史人口的大型纵向数据库所采用。自2009年在《历史社会研究》上发表第一个版本以来,在《历史生活课程合作》上发表了两个改进和扩展版本。在本出版物中,我们介绍了IDS的最新“官方”标准版本4。在过去的四年里,与用户的讨论产生了重要的变化,比如加入了一个新的表格,定义了“上下文”之间的层次关系,记录关系的决策方案,元数据表格中的额外字段,处理死产的规则,关系的互惠模型,将IDS数据与地理空间信息联系起来的指南,以及引入用于计算变量的扩展IDS。
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来源期刊
CiteScore
2.20
自引率
0.00%
发文量
0
审稿时长
30 weeks
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