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 Background Data harmonization Data output  Web: Variable documentation system  Web: Data extract system IPUMS Dissemination System.

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Presentation on theme: " Background Data harmonization Data output  Web: Variable documentation system  Web: Data extract system IPUMS Dissemination System."— Presentation transcript:

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2  Background Data harmonization Data output  Web: Variable documentation system  Web: Data extract system IPUMS Dissemination System

3 Variable Harmonization China 1982 Colombia 1973 Kenya 1989 Mexico 1970 U.S.A. 1990 (Marital status)

4 IPUMS Microdata Home Ownership Relation to Head Age Marital Status Occupation Data extract

5 3. Submit extract 19212023311 19211212211 19211214400 17051612211 17051212211 17051223310 17051214400 03241214400 03242014400 03242023310 03242013310 Pooled Data Extracts samplewatersexeducation Argentina 2001 3.6 million Chile 2002 1.5 million Cuba 2002 1.1 million Extract Engine Argentina 2001 Chile 2002 Cuba 2002 Water supply Sex Education 1. Select samples 2. Select variables 1 dataset 3 censuses 4 variables 6.2 million records Harmonized codes

6 Q: How can we give researchers the information they need without overwhelming them? Q: How can we best encourage comparative research? A: Organize information by variable, not sample A: Ability to filter out unnecessary information A: Access to full detail when that is desired Variable Documentation System

7 1. Exploring the Database

8 Variables Page

9 159 samples

10 Sample Filtering

11 Variables Page – Filtered

12 2. Variables – Codes

13 Variable Codes (Marital status)

14 Variable Codes (Marital status)

15 Variable Codes (Marital status)

16 3. Variable Descriptions

17 Variable Description (Marital status)

18 Comparability Discussion (Marital status)

19 4. Variables – Deep Documentation

20 Enumeration Text

21 (Marital status, Cambodia)

22 Variable Description (Unharmonized source variables)

23 Unharmonized Variables (Source data for marital status)

24  Make it easy to get only the variables and samples that a user needs.  Pool the data across time and countries.  Provide tools to help users manage the size of the data.  Provide advanced features to empower researchers to do new kinds of research. Data Extract System

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26 Extract – Select Samples

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28 Extract – Select Variables

29 1. Case selection 2. Customized sample size 3. Attached characteristics 4. Extract revisions Advanced Extract Features

30 Case Selection

31 Customize Sample Sizes

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34 PernumRelationshipAgeSexMarstChborn 1head53femaleseparated6 2child28malesinglen/a 3child22malesinglen/a 4child21malesinglen/a 5child25femalemarried2 6child-in-law28malemarriedn/a 7grandchild3malesinglen/a 8grandchild1malesinglen/a 9non-relative32femaleseparated2 10non-relative10malesinglen/a 11non-relative5femalesinglen/a Location 0 0 0 0 0 6 5 0 0 0 0 0 0 1 1 1 1 0 5 5 0 9 9 0 0 0 6 6 0 0 0 0 0 Spouse’sFather’sMother’s Constructed “Pointer” Variables Attached Characteristics

35 Age of spouse Employment status of father Occupation of father Attached Characteristics

36 Download or Revise Extract

37 END http://international.ipums.org Matt Sobek Minnesota Population Center sobek@umn.edu


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