IDS Transposer: A Users Guide

The Intermediate Data Structure (IDS) provides a standard format for storing and sharing individual-level longitudinal life-course data (Alter and Mandemakers 2014; Alter, Mandemakers and Gutmann 2009). Once the data are in the IDS format, a standard set of programs can be used to extract data for a...

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Main Authors: Emily Klancher Merchant, George Alter
Format: Article
Language:English
Published: International Institute of Social History 2017-05-01
Series:Historical Life Course Studies
Subjects:
Online Access:http://hdl.handle.net/10622/23526343-2017-0004?locatt=view:master
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author Emily Klancher Merchant
George Alter
author_facet Emily Klancher Merchant
George Alter
author_sort Emily Klancher Merchant
collection DOAJ
description The Intermediate Data Structure (IDS) provides a standard format for storing and sharing individual-level longitudinal life-course data (Alter and Mandemakers 2014; Alter, Mandemakers and Gutmann 2009). Once the data are in the IDS format, a standard set of programs can be used to extract data for analysis, facilitating the analysis of data across multiple databases. Currently, life-course databases store information in a variety of formats, and the process of translating data into IDS can be long and tedious. The IDS Transposer is a software tool that automates this process for source data in any format, allowing database administrators to specify how their datasets are to be represented in IDS. This article describes how the IDS Transposer works, first by going through an example step-bystep, and then by discussing each part of the process and potential options and exceptions in detail.
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publishDate 2017-05-01
publisher International Institute of Social History
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series Historical Life Course Studies
spelling doaj-art-b65bf5544d3346dab02fb9bc401699232025-02-02T18:19:59ZengInternational Institute of Social HistoryHistorical Life Course Studies2352-63432017-05-0145996IDS Transposer: A Users GuideEmily Klancher Merchant0George Alter1University of California at Davis and Dartmouth CollegeUniversity of MichiganThe Intermediate Data Structure (IDS) provides a standard format for storing and sharing individual-level longitudinal life-course data (Alter and Mandemakers 2014; Alter, Mandemakers and Gutmann 2009). Once the data are in the IDS format, a standard set of programs can be used to extract data for analysis, facilitating the analysis of data across multiple databases. Currently, life-course databases store information in a variety of formats, and the process of translating data into IDS can be long and tedious. The IDS Transposer is a software tool that automates this process for source data in any format, allowing database administrators to specify how their datasets are to be represented in IDS. This article describes how the IDS Transposer works, first by going through an example step-bystep, and then by discussing each part of the process and potential options and exceptions in detail.http://hdl.handle.net/10622/23526343-2017-0004?locatt=view:masterLongitudinal life-course dataEvent history dataData managementFamily reconstitutionHistorical demographyIntermediate Data StructureIDS Transposer.
spellingShingle Emily Klancher Merchant
George Alter
IDS Transposer: A Users Guide
Historical Life Course Studies
Longitudinal life-course data
Event history data
Data management
Family reconstitution
Historical demography
Intermediate Data Structure
IDS Transposer.
title IDS Transposer: A Users Guide
title_full IDS Transposer: A Users Guide
title_fullStr IDS Transposer: A Users Guide
title_full_unstemmed IDS Transposer: A Users Guide
title_short IDS Transposer: A Users Guide
title_sort ids transposer a users guide
topic Longitudinal life-course data
Event history data
Data management
Family reconstitution
Historical demography
Intermediate Data Structure
IDS Transposer.
url http://hdl.handle.net/10622/23526343-2017-0004?locatt=view:master
work_keys_str_mv AT emilyklanchermerchant idstransposerausersguide
AT georgealter idstransposerausersguide