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I. Introduction
II. ILOSTAT and GSBPM
III. Types of Metadata
IV. ILOSTAT Metadata
V. Summary
ILOSTAT, new Statistical Information System
New data collection approach
New application
Standards based
Metadata driven
ILOSTAT modules
Data collection
Data cleaning process
Data dissemination
Workflow control
Metadata
GSBPM phases1. Specify needs
2. Design
3. Build
4. Collect
5. Process
6. Analyse
7. Disseminate
8. Archive
9. Evaluate
Overarching processes: Quality management
Metadata management
…
ILOSTAT Compliance
GSBPM ILOSTAT
1. Specify needs Specification of requirements prior to collection launching
2. Design Design of Questionnaires, Dissemination tables, charts, DSD, etc
3. Build Questionnaire production, Tools development
4. Collect Data collection
5. Process Consistency check, Editing, Calculated indicators
6. Analyse Data analysis, Estimations and Projections
7. Disseminate Data dissemination (different channels)
8. Archive Data and metadata preservation
9. Evaluate Process evaluation (continuous)
Quality management Data and metadata quality evaluation (continuous)
Metadata management Metadata maintenance
Metadata classification
Metacontent
Methodology
Quality
Metadata
Business
Technical
Process
Structural
Reference
Descriptive
(conceptual)
Ext. Resources
Technical metadataSystem’s parameters Govern automatic updates and scheduled batch processes
Data Collection
Structural validation of data collection instruments
User Access Control Roles, credentials, access rights, etc.
Process Consistency rules
Formulas for calculated indicators
Dissemination website Context information: language, country, subject
Process metadataILOSTAT’s workflow
Information used by: Country Specialists: to manage data collection activities
Supervisors: to have real time information about the amount and quality of the data compiled
Applications: to drive the data workflow
Structural metadataBusiness Structural metadata
The “heart” of the metadata driven system. code lists for all the concepts in use
definition of all the artefacts used for
• data collection: questionnaires, DSD’s, etc.
• Dissemination: tables, charts, navigation menus, etc.
Stored in a single metadata repository Shared by all the modules
Single point of maintenance
Statistical metacontentBusiness Reference metadata Descriptive metadata Statistical metacontent
Typical “data about data”.
Two classes of metacontent: Observation value status: sometimes called flag
Notes: controlled vocabulary, coded at collection time
Cleaning module Checking for mandatory and contradictory notes
Dissemination module Table metadata, flags and footnotes
Consolidation of footnotes at display time
Unlabeled stuff Labeled stuff
The bean example is taken from: A Manager’s
Introduction to Adobe eXtensible Metadata Platform,
http://www.adobe.com/products/xmp/pdfs/whitepaper.pdf
Statistical metacontentBusiness Reference metadata Descriptive metadata Statistical metacontent
Typical “data about data”.
Two classes of metacontent: Observation value status: sometimes called flag
Notes: controlled vocabulary, coded at collection time
Cleaning module Checking for mandatory and contradictory notes
Dissemination module Table metadata, flags and footnotes
Consolidation of footnotes at display time
Methodological metadataBusiness Reference metadata Descriptive metadata Methodological metadata
Methodology used for primary data collection and processing
“Source & Methods” connected to the series by the “survey” key
collects and disseminates the information in DDI 2.x
Quality metadataBusiness Reference metadata Descriptive metadata Quality metadata
Stored in the Workflow tables
Provides information about the quality of the data Ex.: After consistency checking data status can be “Error”,
“Ready for dissemination” or “Ready by allowance”.
Additional quality related information attached as comments
External resourcesBusiness Reference metadata External resources
Artefacts and documents related to the studies Questionnaires
Methodological guidelines
Maps
Full study metadata in DDI and microdata files will be available from the ILO Central Microdata Repository
GSBPM ILOSTAT DEFINES/PRODUCES USES
1. Specify needs Specification of requirements prior to collection launching Structural, Metacontent Process, Quality (previous), Methodology
2. Design Design of Questionnaires, Dissemination tables, charts, DSD, etc Technical, Structural, Metacontent Quality (previous)
3. Build Questionnaire production, Tools development Process Technical, Process, Structural
4. Collect Data collection Metacontent Technical, Process, Structural
5. Process Consistency check, Editing, Calculated indicators Metacontent, Quality Technical, Process, Structural, Metacontent
6. Analyse Data analysis, Estimations and Projections Metacontent, Quality
7. Disseminate Data dissemination (different channels) ALL
8. Archive Data and metadata preservation Ext. Resources ALL
9. Evaluate Process evaluation (continuous) Process, Quality Process, Quality
Quality management Data and metadata quality evaluation (continuous) Technical, Quality Reference
Metadata management Metadata maintenance ALL ALL
E-mail:[email protected]
Skype:egreising
Twitter: egreising
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E-mail:[email protected]
Skype:egreising
Twitter: egreising
LinkedIn: http://www.linkedin.com/in/egreising
Knowing how it goes.
(country + user)
Qtable
(country + indic + survey)
