data collection and data sharing at statistics netherlands prof. dr. ger snijkers * unece ces 2011-...
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Data Collection and Data Sharing at Statistics Netherlands
Prof. dr. Ger Snijkers*
UNECE CES 2011- seminar IGeneva, 14 June 2011
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59th Conference of European Statistics (CES), 14 June 2011, Geneva59th Conference of European Statisticians (CES), 14 June 2011, Geneva 2
Overview
• Organizing data collection activities:• Yesterday • Today
• Process-and-knowledge driven approach• Challenges we face today• Data Collection Strategy• Developments over the years
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Data Collection over the years
3
Stove pipes Data Collection 2000
Partial Centralisation Data Collection Now
< 1994 1994 - 2000
2000 - 2007
Present
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Drivers for centralizing data collection:
Achieving efficiency by:• Abolishing redundant processes, workflows, and
activities for social and business surveys• Monitoring processes, workflows, and activities
• Abolishing redundant systems and tools• One data collection management system• Maintaining as less systems and tools as needed
Spin off• Clear and professional external focus• Reducing response burden
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Organizing Data Collection
Front desk:• Client relations• Survey design
Design:• Questionnaire• Sampling• Training
Survey deployment:
• CAPI / CATI Interviewing
• Planning & control• Fieldwork logistics• Support• Special services
Clustering of practices and knowledge• Focus on how knowledge is being used
12 fte
35 fte
240 fte
• Fte’s:• 375 (2008)• 277 (2012)
• Budget:€ 18.5M
• 145 surveys
92 26 118 fte
122 fte
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Process-and-knowledge driven approach:
Survey deployment
CATI unit• Interviewing R• Telephone
CAPI unit• Interviewing R• Face-to-face
Help desk• Support R• Telephone
• Technology driven: use of telephone• Processes, workflows and skills are different• Processes, workflows and skills are comparable
Re-organising Telephone and interviewing units
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Process-and-knowledge driven approach: Introducing home-based interviewing
• Phase 1: for CATI agents €100k• Phase 2 (ongoing): for CAPI interviewers €400k
Revenues:• Flexible cost efficient CATI / CAPI workforce• Remain nationwide CAPI coverage• Improved communication• Prevent slack demand – supply CAPI workforce
Survey deployment
CATI unit• Interviewing R• Telephone
CAPI unit• Interviewing R• Face-to-face
Help desk• Support R• Telephone
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To be ready for the future
• Reliable statistics:• relevant• more & integrated information• faster
• Less money• improving cost-efficiency
• Less compliance costs• reduction of response burden
• Implementation of Data Collection Strategy
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The 2011 Data Collection Strategy:Retrieving and returning
3 steps:1. Re-use of available data
• Data sharing & data warehousing
2. Use of new registers and other secondary sources • Traditional government-based registers • Information from private businesses
• Data on the internet (web-crawlers)
3. Primary data collection:1. EDI technologies, like XBRL
2. Web surveys 3. traditional modes: paper, CATI, CAPI
• Using new social media technologies • Reciprocity: report back to respondents
Multi-source designs
Mixed-mode designs
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How to achieve this?
• Data Collection Division: • Coordinated data collection for social and business surveys• Mixed-mode designs
• Data Service Centre & Social Statistical Database: • Data warehousing
• Research (in collaboration with Methodology Division):• Statistical methods for combining data sources• New sources • EDI techniques • Web survey methodology, mixed-mode surveys, pre-testing • New media
• Survey-based projects:• Re-designing chain of Economic Statistics:
- using more register data / XBRL / Web questionnaires • Re-design of Social Surveys: - developing web questionnaires
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Data collection:Developments over the years
• From stove-pipes to a coordinated system of data collection
• From single surveys to multi-source/mixed-mode data collection designs
• From single-survey managers to managers of integrated sets statistics
• From local decision making to corporate decision making
• From data collection to data retrieving and returning
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Thank you