Electronic Data Collection at Statistics Canada by Kevin Roberts of Statistics Canada

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Transcript Electronic Data Collection at Statistics Canada by Kevin Roberts of Statistics Canada

Electronic Data Collection
at Statistics Canada
Kevin Roberts
10th Meeting of the
Oslo Group on Energy Statistics
May 2016
History of Electronic Collection
 Electronic data reporting platform in place since 2003/04
 The concept of a fully functional web-based
questionnaire introduced in 2008/09
 Increased demands from respondents for the move to
e-questionnaires, to reduce burden, to create
efficiencies, to ensure security
 Web-based questionnaires with simple edits evaluated
once data submitted – ongoing study and improvement
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2016-07-23
Types of Electronic Collection
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Electronic questionnaires (EQ)
• Completed by respondent; web
based
• Follow-up completed by
interviewer
Computer Assisted Telephone
Interviews
• Completed by interviewer
Electronic file transfers
• Data dumps from respondents,
administrative data sources
10th Meeting of the Oslo Group on Energy Statistics
2016-07-23
Objectives/Advantages (1)
 Reduced respondent burden
 Improved response time and timeliness of cycle
 Green initiative: save paper
 Ensured privacy, confidentiality of data
 Improved data quality through built-in edits, online help
 Efficiencies generated
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2016-07-23
Objectives/Advantages (2)
 Opportunity to standardize:
• Design – common look and feel
• Tools – built-in edits, instructions, help
• Training manuals – common training for systems and
shorter content-specific training
• Collection strategies
• Reports
 Standardization should lead to efficiencies,
quality, re-using best practices, transportable
skills for staff
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10th Meeting of the Oslo Group on Energy Statistics
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Objectives/Advantages (3)
 Elimination of redundant capacity and collection
applications (infrastructure)
• Optimize the use of collection staff and systems
• Fewer resources required to develop and maintain
standardized tools
• Development – fewer platforms to build, maintain
• Testing – fewer platforms to test, integrate
 Exploit and optimize the use of the web-based
collection tool
• Lower collection costs
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Initial Concerns with EQ Collection (1)
 Change management: Defining new roles and
responsibilities, training, communication
 Development of web-based functionalities
 Ensuring uptake rates, response rates
 Determining the optimal collection strategies:
• Number of e-reminders and follow-ups
• Respondent tolerance to edits
 Need for metrics about why some respondents are not
using web-based reporting tools
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10th Meeting of the Oslo Group on Energy Statistics
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Initial concerns with EQ Collection (2)
 Managing new functionalities:
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Pre-fill authorization
Attachments
Respondents who must reply for multiple surveys
Surveys with multiple respondents
Delinquent responders
Live updates
10th Meeting of the Oslo Group on Energy Statistics
2016-07-23
Early results
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10th Meeting of the Oslo Group on Energy Statistics
2016-07-23
EQ in the Energy Statistics Program
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Annual and monthly surveys
moving to EQ format
Challenges:
• New survey content being
introduced at same time
• Some respondents don’t
fill in questionnaires, but
rather send data dumps
• Functionality needs to
improve
• Move to a new processing
system being introduced
at the same time (IBSP)
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10th Meeting of the Oslo Group on Energy Statistics
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Summary
 Electronic collection: evolving, improving, many
advantages
 Energy program moving into that world
 Future opportunities for using Big Data?
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Questions?
Comments?
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10th Meeting of the Oslo Group on Energy Statistics
2016-07-23