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Fitting a survey life cycle in the DDI

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Statistics Canada IMDB program. Public Use Microdata Documentation ... DDI version 1&2 vs. IMDB ... IMDB. PRODUCTS. TOOLS. Metadata life-cycle research ... – PowerPoint PPT presentation

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Title: Fitting a survey life cycle in the DDI


1
Fitting a survey life cycle in the DDI
  • Irene Wong
  • Chuck Humphrey

IASSIST Edinburgh May 2005
2
Disclaimer
  • The research and analysis are based on data
    from Statistics Canada and the opinions expressed
    do not represent the views of Statistics Canada.

3
Project partnerships
  • A pilot study was initiated in summer 2004
  • Involving
  • 3 RDCs Edmonton, Calgary, Hamilton
  • General Social Survey (GSS) Programs
  • Standards Division
  • GSS cycle 17 - Social Engagement confidential
    data file

4
Project outline
  • Creating DDI documentation for the confidential
    data of GSS Cycle 17
  • Assessing the information sources needed to
    complete this task
  • Evaluating the use of DDI documentation by
    researchers in an RDC

5
Creating DDI documentation
  • We were not present at the initial survey
    planning, design, or the production
  • Post-event information harvesting to create DDI
    documentation
  • Statistics Canada IMDB program
  • Public Use Microdata Documentation
  • Confidential Microdata metadata

6
DDI version 12 vs. IMDB
  • modeled after the traditional codebook users
    guide, data dictionary, record layout.
  • Document Description
  • Study Description
  • Data Files Description
  • Variable Description
  • Other Study-related Materials
  • Statistics Canada IMDB and microdata metadata
  • Survey description
  • user guide
  • Data Description
  • sources and methodology
  • Sampling and collection
  • Data accuracy
  • Variable description
  • code book and record layout
  • Other documents

7
GSS 17 survey process
knowledge capture
Identify Data gap
Data capture
Sample selection
Data quality control
Survey design
Dissemination
Interviewer training
Questionnaire design
Data processing
Pilot/Pre-test
8
Post-event information harvesting
  • Is artefacts hunting enough?
  • Is there a knowledge loss?
  • Current need in the RDCs for a liaison between
    researchers and survey divisions
  • How about user feedbacks?
  • For example
  • On data quality
  • Identify data gap

9
Is there a knowledge loss?
  • Knowledge of interest to the research community
  • Data processing consolidation, imputation, data
    suppression, .
  • Data quality respond error, weights calculation,
  • Knowledge of interest to the survey community
  • Sample selection stratification, hard to locate
    and follow sample groups, .
  • Questionnaire design Interviewer handbooks,
    pre-testing procedures and guidelines, .
  • Has this knowledge been properly preserved
    somewhere?

10
Preserved knowledge
  • Should DDI documentation be created throughout
    the life course of a survey?
  • Can DDI documentation be created throughout the
    life course of a survey?
  • Do we know enough now to answer the questions?

11
Following thoughts
PRODUCTS
TOOLS
Sample Questionnaire Interviewer handbook Data
Dictionary Record layout User Guide Microdata
file .
Blaise SerDev SAS Word Image Text IMDB .
loss knowledge
DDI
?
12
Metadata life-cycle research
  • identify amount of metadata produced over the
    life cycle of a survey
  • identify tools in which metadata have been
    created, documented and stored
  • integrate into DDI
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