SQL Server Days 2013 - Create ETL solutions faster with metadata driven development
Metadata Driven Survey Research
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Transcript of Metadata Driven Survey Research
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METADATA DRIVENSURVEY RESEARCH
Alerk Amin, CentERdataJeremy Iverson, Colectica
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What is Metadata? Data (survey data) Metadata (data about data) Paradata (data about process)
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Paradata Empirical measurements about the
process of creating survey data Paradata is data
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Metadata
DATASurvey data
ParadataMetadata
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Why is Metadata Important? “Survey documentation and metadata
are vital products of a survey and need careful consideration at the point of survey design so that the data will be useful.”
From Survey Methodology, by Robert M. Groves, Floyd J. Fowler, Mick P. Couper, James M. Lepkowski, Eleanor Singer
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AER Data Availability Policy “It is the policy of the American
Economic Review to publish papers only if the data used in the analysis are clearly and precisely documented and are readily available to any researcher for purposes of replication.”
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“Current” Situation
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Questionnaire Development
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The Data Lifecycle
Documentation
Lost
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A Better Solution Metadata-Driven Survey Research
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Metadata Driven Survey Research
Metadata
Survey instrumentsPaper questionnairesStatistical source codePaper documentationWeb documentation
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Questionnaire Development Better, faster, cheaper Eliminate cut-and-paste from Word/Excel Automate more of the process Metadata reuse saves even more time
and effort for longitudinal surveys
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Survey Documentation Integral part of process Easier to capture work done by all
people/agencies in data collection process
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Metadata Repositories Leverage metadata both inside &
outside organization Allows for
Concept Banks Question Banks Variable Banks Classification Banks
Link to other repositories when reusing questions
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Researcher Questions What studies explore these concepts? What questionnaires use this question? What datasets have this variable?
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Increased Understanding Improved discoverability Improved comparability Researchers understand more of data
collection process
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How to do this? It’s possible today
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DDI 3 Documents all stages of data lifecycle Defines elements and relationships Designed for reuse of elements Provides structured method of describing
additional data Geographic data Medical data Biomarker data
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DDI Workflow
Define the metadata and relationships
Automate everything else
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DDI 3 Tools
Colectica Questas
y
DDA Metadata EditorCanada
RDC Tools
STARDAT
Custom tools
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Colectica
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Questasy
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DDA Metadata Editor