Codebook Centric to LifeCycle Centric - PowerPoint PPT Presentation

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Codebook Centric to LifeCycle Centric

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Topical selection. Summary statistics. Identification and location of the actual data file ... Topical Series. Management / Use series. Management over time ... – PowerPoint PPT presentation

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Title: Codebook Centric to LifeCycle Centric


1
Codebook Centric to Life-Cycle Centric
  • In the beginning.

2
We described the life cycle
  • But how were we going to relate this iterative
    life cycle in XML?
  • So we went back to
  • In the beginning.

3
Was the IDEA!
4
  • Described in the study unit
  • Who is proposing the study
  • Research question or purpose of the study
  • Research population
  • Background research
  • Formal study proposal
  • Funding sources
  • Proposal Revisions
  • Concepts and definitions

5
  • Proposal becomes realityData Collection
  • Questionnaire development
  • Instrumentation
  • Who collects the data
  • How the data is collected
  • Data cleaning
  • Data processing
  • Recoding and weighting
  • Imputation
  • Suppression or allocation

6
  • Publishing the Data The logical product content
  • Categories
  • Variables
  • nCube
  • Including links to previously defined
  • Concepts
  • Questions
  • Processing activities

7
  • Describing the Physical Data Product
  • Link to a logical product description
  • Multiple structures to describe different storage
    structures
  • Information on relational links between record
    types stored in one or many data files
  • Links to variables and NCube cells

8
  • Record of a Physical Instance
  • Link to a physical storage structure
  • Specifics of the range of records in the file
  • Record type selection
  • Geographic selection
  • Topical selection
  • Summary statistics
  • Identification and location of the actual data
    file

9
  • Making it visible to the outside world
  • Publishing in-house
  • Depositing with a distributor
  • Creating archive information
  • Packaging and publishing as a DDI Instance
  • The DDI Instance now has identity as an object
  • This means that your metadata can be discovered

10
INSTANCE
Archive Information
11
  • Archive received instance and data
  • Add local identification
  • Archive name and contact
  • Use restrictions or access process
  • Record processing information
  • Cleaning metadata
  • Creating new formats / record subsets
  • Creating an internal physical instance (file
    rename for example)

12
  • Groups
  • Adding to an existing series
  • Creating a new series
  • Time series
  • Topical Series
  • Management / Use series

13
  • Management over time
  • Materials added over time
  • Adding local concept scheme
  • Adding citations to publications based on data
  • Recording value added information discovered
    during use and analysis
  • Information change
  • Local contact information
  • Location information changes

14
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