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DDI for the Uninitiated
ACCOLEDS /DLI Training: December 2003
Ernie Boyko Statistics Canada
Chuck Humphrey University of Alberta
Cataloguing Experiences
How many have catalogued using• MARC• Dublin Core
Cataloguing Experiences
Objectives of cataloguing• Inventory control• Location tool• Access • Distribution
Enter DDI
Documentation in a standardized mark-up languageo Data Documentation Initiative (DDI)
http://www.icpsr.umich.edu/DDI/
An Example
American Public Opinion and U.S. Foreign Policy, 1994
http://www.icpsr.umich.edu/DDI/samples/index.html
http://www.icpsr.umich.edu:8080/DDI/SAMPLES/06561.xml
http://datalib.library.ualberta.ca/accoleds/workshops/index.html
XML-DDI Benefits
The display of data documentation through a variety of style sheets;
Input for further processing, such as creating statistical package command files, conducting advanced searches, comparing variables across data files, driving data extraction engines, etc.
Data Documentation
There is a need for comprehensive data documentation that allows easily
o Finding variables • By subject groupings• By keywords, phrases or terms• By response categories (value labels)• Through linkages from the questionnaire
Data Documentation
There is a need for comprehensive data documentation that allows easily
o Tracing variables back to their origins• To a question • To a response category for a multiple
response item• To the variables from which it was computed
for a derived variable.
Data Documentation
There is a need for comprehensive data documentation that allows easily
o Understanding the corrections that must be made because of the sampling methodology
What’s next?
Let’s assume we have <ddi> compliant files … so what’s next?
What are the choices?
General Choices
Feed your own system (input from a structured file)
Look at systems using <ddi> files directly
Wait for SAS, SPSS, etc. to become XML enabled
Wait and see
Projects Using DDI
NESSTAR Health Canada -- DAIS SDA, Berkeley ICPSR’s metadata University of Minnesota US Census Bureau Harvard Virtual Data Center
Global Access, Local Support
Data Producers
Data users
NESSTAR Central Server
Data Observatory WorkbenchData Observatory Workbench
Text– Journal articles– User guides– Methodology
instructions
Tools– Finding and
sorting– Browsing– Analysing– Publishing
Data– Survey– Indicators– Administrative– Geographical
People– Email– Conferences– Experts– Discussion lists
HyperlinksHyperlinks
Data Sharing - The NESSTAR Way (in 3 Steps)Data Sharing - The NESSTAR Way (in 3 Steps)
1. Prepare your data using the Nesstar Publisher
Microdata in SPSS, SAS, Stata,Statistica, ascii or other formats
Table- or aggregated data in Excel,Ascii or other formats
Documentation/metadata in various text-formats, including XML
Data or metadata sitting in relational databases
Import
• Import data and metadata from a variety of formats
• Cut and paste additional metadata from external sources
• Use templates to enforce structure and local ”best practice”
• Organize your variables in groups and sub-groups
• Add local controlled vocabularies or thesauri
• Validate your data/metadata against the DDI and your local ”best practice”
• Output DDI-instances and/or publish to a Nesstar server
2. Publish your data to a Nesstar server
• Publish over the Web or a local area network (LAN)
• Organize your data in folders and sub-folders
• Define the access conditions of your data
• Customize the user-interface to your data
Publish
Data Store
Data Sharing - The NESSTAR Way (in 3 Steps) – (cont’d)
Data Sharing - The NESSTAR Way (in 3 Steps) – (cont’d)
Data Sharing - The NESSTAR Way (in 3 Steps) – (cont’d)
Data Sharing - The NESSTAR Way (in 3 Steps) – (cont’d)
3. Share and explore your data through a variety of interfaces
• Nesstar Explorer – a feature rich data browser (Java application)
• Nesstar light – the standard web-browser interface to Nesstar resources and services
• Choose between a variety of customized interfaces
• Develop your own customized interface or integrate Nesstar services in an existing web-application
Access
Data Store
Where do we go from here?
Need to start producing <ddi> filesNeed to create incentives for survey
managers to create <ddi> filesNeed to work cooperatively to
convert legacy files
What’s ACCOLEDS’ role?