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Data Made Easy!
Away DayMacOdrum Library,Carleton University
Jane FryMay 1st, 2008
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Outline
• Easy data• Background of <odesi>• Comparative data – still easy!• Why you too can do it!• Go for it!
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To start with …
• Handouts
• Bling
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Metadata
• What is metadata?
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Interesting questions
• Let’s look at some questions from the Canadian Gallup Public Opinion Polls
• Carleton finally gets to share!
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What do you think?
• “In some cities in Canada, horsemeat is now being sold because of the high price of other meats. If horsemeat were available here, would you be willing to try it?”
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Yea or neigh?
• 39.5% said “Yes”
• Canadian Gallup Poll, August 1951, #212
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Next question …
• “Would you favour requiring every able-bodied young man in this country, when he reaches the age of 18, to spend one year in military training and then join the reserves or militia?”
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And the answer is …
• 65.7% favoured this
• Canadian Gallup Poll, September 1956, #251
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How about a $ question
• “How much should a young man be earning per week before he gets married?”
• Canadian Gallup Poll, August 1953, #231
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And the answer is …
$41-50
UP TO $40
OVER $100
$71-80
$81-100
$61-70
$51-60
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And now for the skirts!
• “There’s an attempt being made by some fashion leaders to shorten women’s skirts. Do you think that women should follow this lead – and wear skirts shorter than they are now?”
• Canadian Gallup Poll, August 1953, #231
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Up or down!
• Shorter skirts – 13 %
• Stay the same length – 82 %
• Longer skirts – 5 %
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Another use …
• Tracking opinions over time
• “Do you approve of the use of birth control?” (Canadian Gallup Polls)• 1960• 1964• 1965
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And the answer is …
Year % in FavourApprove of Birth Control? 1960 66.4%
1964 82.1%1965 78.7%
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And now another use
• We can look at the data in tables, that is, analyzing it with other variables in the same data set
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How do women drivers compare to men?
• What do you think?• Who is better?• By how much?
• “In general, do you think women make better drivers than men, as good, or worse drivers?”
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How do women drivers compare to men?
MALE(Column %)
FEMALE(Column %)
Better Drivers 9.5 21.5
As Good Drivers 46.9 53.5
Worse Drivers 36.0 13.2
Don’t Know 7.6 11.7
In general, do you think women make better drivers than men, as good,Or worse drivers?Canadian Gallup Poll, September 1955, #244
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Should women have equal job opportunity?
• “Do you think married women should be given special opportunity with men to compete for jobs or do you think employers should give men first chance?”
• What do you think?
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Should women have equal job opportunity?
MALE(Column %)
FEMALE(Column %)
Yes 29.8 36.7
No, Men First 65.2 56.3
Qualified 5.0 7.0
Do you think married women should be given special opportunity withmen to compete for jobs or do you think employers should give menfirst chance?Canadian Gallup Poll, May 1956, #248
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What would you like for Christmas?
• Any guesses here for the top 5 answers?
• Any differences for men and women?
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What would you like for Christmas?
MALE(Column %)
FEMALE(Column %)
Large Appliances 9.3 23.3
Small Appliances 3.5 11.1
Clothing 11.6 23.9
Money 13.4 3.3
Non-material things …
44.8 18.7
Canadian Gallup Poll, November 1953, #233
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Nuclear War vs Communism?
• “Suppose you had to make the decision between fighting an all-out Nuclear war, or living under communist rule – How would you decide?”
• Interesting, isn’t it!
• How about the difference between men and women?
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Nuclear War vs Communism?
MALE(Column %)
FEMALE(Column %)
Fight Nuclear War
85.0 86.8
Live under Communism
15.0 13.2
Suppose you had to make the decision between fighting an all-outNuclear war, or living under communist rule – How would you decide?
Canadian Gallup Poll, November 1961, #292
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Your next Question?
• Where is this data?
• How can I access it?
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How did this come about?
• The Data world
• DDI• Data Documentation Initiative• <ddi>
• The Tool• Nesstar
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In Ontario …
• One of the first players
• More players wanted to be involved in DDI
• A need for a unified and coordinated approach
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In 2005
• Data in Ontario (DINO)
• OCUL (Ontario Council of Ontario Universities)
• A dream
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<odesi>
Ontario Data Documentation, Extraction Service and Infrastructure Initiative
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Funding for <odesi>
• Two primary sources of funding:• Ontario Council of University
Libraries (OCUL)• $250,000
• Ontario Buys• $750,000
• In-kind contributions by partners
• $1.15 million over 2 years
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Requirements for <odesi>
• OntarioBuys
• OCUL
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How to make Data Accessible?
• Best Practices Document (BPD)• Document available for all
interested in creating DDI documents• lists recommended procedures to
follow• highlights recommended formats
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Why DDI in <odesi>?
• Interoperability• Richer Content• Single Document – multiple
purposes• On-line subsetting and analysis• Precision in searching
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How is DDI Interpreted?
• Why you wouldn’t want to read DDI in raw format.
• How do I read it?
• The tool
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Nesstar
• International• National• In Ontario• DDI• Search• Explore• Download• Export
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One-Stop Data Shopping…..
• At present• several files scattered throughout
the province• Sharing is a challenge
• The ideal • one-stop to access the files for all
OCUL universities
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Where do the Files Live?
• Scholars Portal• Houses Nesstar server for all
Ontario Universitites• We load the files
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Where are we now?
• Best Practices Document
• <odesi> website
• Data (surveys) being added daily
• Training
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What else …
• Other key points about survey data in <odesi>• Searching
• the old way• the new way
• Exploring • Saving• Downloading
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What files are available?
• Statistics Canada files available through the Data Liberation Initiative• Census • General Social Surveys• Health Files• Labour Files• Other Special Surveys
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Other Files Available
• Public Opinion Polls• Canadian Gallup Files
• 1940s to 2000 • in the 1980’s now
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Exciting new data….
• IPSOS-REID Public Opinion Polls• 1988 – 1995
• National Angus Reid Polls• Monthly polls
• Online polls for the January 23, 2006 Federal Election
• Online polls for the October 11, 2007 Ontario Provincial Election
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More Data …
• Election Surveys• Academic Surveys – once we
convince researchers to share them with us!
• More Statistics Canada Surveys• Education• Technology• Income
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A voyage in data discovery….
• <odesi> opens many doors• To new and interesting data • To students (especially
undergrads) and faculty • New partnerships in data
exploration, eg. Ipsos-Reid
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In Conclusion, <odesi > will …
• Level playing field• Equal access• Equal opportunities
• Beginners• Experienced users
• Encourage sharing• Model for others
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Thanks
• A collaborative effort• Michelle Edwards, PhD, Guelph
University• Jeff Moon, Queen’s University• Alexandra Cooper, Queen’s
University
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Contact Info
• Jane Fry• x1121
• Paula Hurtubise• 3394
• Wendy Watkins• X8376
• odesi.ca
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And now …
• The moment you have been waiting for!
• odesi.ca