www.ropercenter.uconn.edu1 upgrading abc news/washington post data collections using ddi and legacy...

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www.RoperCenter.uconn.edu 1 Upgrading ABC News/Washington Post Data Collections Using DDI and Legacy Databases Marc Maynard Marc Maynard The Roper Center for Public Opinion Research The Roper Center for Public Opinion Research University of Connecticut University of Connecticut IASSIST Conference 2005, Edinburgh, Scotland

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Page 1: Www.RoperCenter.uconn.edu1 Upgrading ABC News/Washington Post Data Collections Using DDI and Legacy Databases Marc Maynard The Roper Center for Public

www.RoperCenter.uconn.edu 1

Upgrading ABC News/Washington Post Data Collections Using DDI

and Legacy Databases

Marc MaynardMarc Maynard

The Roper Center for Public Opinion ResearchThe Roper Center for Public Opinion ResearchUniversity of ConnecticutUniversity of Connecticut

IASSIST Conference 2005, Edinburgh, Scotland

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Upgrading Data Collections

• Introduction

• Background

• Scope

• Challenges & Opportunities

• Prototype System

• Summary

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The Roper Center Archives

• Public opinion data archive established in 1946

• Commercial and academic surveys from 1936-present

• The Archives house ~8,000 US and ~7,000 non-US surveys

including data files & documentation

• ABC News/Washington Post Survey Collection

Over 850 surveys 1979-present

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Background: Metadata Integration

• Catalog of Holdings– study level– 15,000 records

– only studies for which raw data is housed at the Center

• iPOLL Databank– variable level– nearly 500,000

records– includes studies for

which data is not housed at the Center

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Background: Metadata Integration

• External Review (2001)

• Overall Integrated Vision (IASSIST 2002)

• DDI – Archive Catalog Mapping (IASSIST 2003)– Study and File Level Integration (Sections 2 & 3)

• iPOLL Archive Catalog Links (2003-2004)

• Enhance Question/Variable Metadata (IASSIST 2005)

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Background: Prototype Project

• ABC and the Post want to easily access and analyze all their survey data

• SPSS system files for post-1997 surveys exist

• Pre-1998 studies are a hodge-podge of available ASCII data, documentation and survey reports

• ABC experimented with various alternative strategies

• Determined that the major cost factor would be variable and response labeling

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Scope

• >600 ABC/WP surveys, 1979-1997 More than 16,000 questions in the iPOLL system Fairly consistent documentation and data structure All ASCII data files

• Average about 35 variables per study Not including standard socio-demographic variables

• Employ a prioritized phased approach • Focus on joint monthly surveys (216 studies)

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Challenges

1. iPOLL includes only surveys of US adult population

2. iPOLL does not store standard socio-demographic variables

3. Published results are source for many items

4. iPOLL does not store enough metadata on the variable level

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Opportunities

• Enhance metadata available in iPOLL• Repurpose iPOLL’s store of question

text and response categories• Capitalize on:

– the fact that response categories are stored as individual items

– Linkages between question-level information and existing data files

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Addressing the Challenges

1. iPOLL includes only surveys of US adult population

• State/Local surveys are lower priorities2. iPOLL does not store standard socio-

demographic variables• Add standard demogs menu to system

3. Published results are source for many items• Must allow for modifications to the variables

4. iPOLL does not store enough metadata on the variable level

• Extend iPOLL DataBank with DDI elements

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Mapping Scheme - Sec. 4

Question/Variable

DDI Element Database Field

4.3 Name VarName

4.3.8.2 QstnLit Qstn_txt

4.3.1 RecSegNo RecSegNo

4.3.1 StartPos - EndPos Location

4.3.1 Width varWidth

4.3.23 varFormat varFormat

Response Categories

DDI Element Database Field

4.3.18.2 labl Resp_Txt

4.3.18.1 catValu Resp_Code

4.3.18 Missing Missing

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File Preparation

iPOLL SPSS:Enhanced variable-

level metadataiPOLL

(q/v)

ProjectApplication

ASCII Data File

SPSS Portable File

SPSS Syntax File

Archive Catalog

Standard Demogs

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Application Requirements

• Edit and add missing metadata to each variable– Variable names, location, type

• Review and edit response category coding • Select and add standard socio-demographic

variables• Specify any recodes within variables or to new

variables• Handle string, as well as numeric, value labeling and

recoding• Generate SPSS syntax file to include study

metadata, creation date and data file path and structure

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Prototype System

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Summary

• Continuation of metadata enhancement and integration efforts begun in 2001

• Will provide practical feedback and suggestions for extending the capabilities of iPOLL

• Promising beginning for expanding coverage to other data collections

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iPOLL Databank can be found at:

http://www.ropercenter.uconn.edu/ipoll.html

Email: [email protected]