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:https://www.openjournals.nl/index.php/hlcs/article/view/9339
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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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language English
publishDate 2017-05-01
publisher International Institute of Social History
record_format Article
series Historical Life Course Studies
spelling doaj-art-b6e22ec42c8844f9b81f9d4d16bdb59e2025-02-02T01:05:46ZengInternational Institute of Social HistoryHistorical Life Course Studies2352-63432017-05-01410.51964/hlcs9339IDS Transposer: A Users GuideEmily Klancher MerchantGeorge AlterThe 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.https://www.openjournals.nl/index.php/hlcs/article/view/9339IDS TransposerIntermediate Data StructureHistorical demographyFamily reconstitutionData managementEvent history data
spellingShingle Emily Klancher Merchant
George Alter
IDS Transposer: A Users Guide
Historical Life Course Studies
IDS Transposer
Intermediate Data Structure
Historical demography
Family reconstitution
Data management
Event history data
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 IDS Transposer
Intermediate Data Structure
Historical demography
Family reconstitution
Data management
Event history data
url https://www.openjournals.nl/index.php/hlcs/article/view/9339
work_keys_str_mv AT emilyklanchermerchant idstransposerausersguide
AT georgealter idstransposerausersguide