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Data Collection and Data Sharing at Statistics Netherlands

This presentation explores the evolution of data collection practices at Statistics Netherlands, including the shift from stove-pipe systems to a coordinated approach, the use of new technologies, and the implementation of a data collection strategy. It also discusses the challenges faced and the benefits of centralization and integration.

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Data Collection and Data Sharing at Statistics Netherlands

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  1. Data Collection and Data Sharing at Statistics Netherlands Prof. dr. Ger Snijkers * UNECE CES 2011- seminar I Geneva, 14 June 2011

  2. Overview • Organizing data collection activities:• Yesterday • Today • Process-and-knowledge driven approach • Challenges we face today • Data Collection Strategy • Developments over the years 59th Conference of European Statistics (CES), 14 June 2011, Geneva

  3. Data Collection over the years Stove pipes Data Collection 2000 Partial Centralisation Data Collection Now < 1994 1994 - 2000 2000 - 2007 Present 59th Conference of European Statistics (CES), 14 June 2011, Geneva 2

  4. 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 59th Conference of European Statistics (CES), 14 June 2011, Geneva

  5. Organizing Data Collection Clustering of practices and knowledge • Focus on how knowledge is being used • Fte’s:• 375 (2008)• 277 (2012) • Budget:€ 18.5M • 145 surveys • Survey deployment: • CAPI / CATI Interviewing • Planning & control • Fieldwork logistics • Support • Special services • Front desk: • Client relations • Survey design 12 fte 240 fte 92 26 118 fte • Design: • Questionnaire • Sampling • Training 35 fte 122 fte 59th Conference of European Statistics (CES), 14 June 2011, Geneva

  6. Process-and-knowledge driven approach: Re-organising Telephone and interviewing units Survey deployment • Help desk • Support R • Telephone • CATI unit • Interviewing R • Telephone • CAPI unit • Interviewing R • Face-to-face • Technology driven: use of telephone • Processes, workflows and skills are different • Processes, workflows and skills are comparable 59th Conference of European Statistics (CES), 14 June 2011, Geneva

  7. Process-and-knowledge driven approach:Introducing home-based interviewing Survey deployment • 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 • Help desk • Support R • Telephone • CATI unit • Interviewing R • Telephone • CAPI unit • Interviewing R • Face-to-face 59th Conference of European Statistics (CES), 14 June 2011, Geneva

  8. 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 59th Conference of European Statistics (CES), 14 June 2011, Geneva

  9. 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 59th Conference of European Statistics (CES), 14 June 2011, Geneva

  10. 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 59th Conference of European Statistics (CES), 14 June 2011, Geneva

  11. 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 59th Conference of European Statistics (CES), 14 June 2011, Geneva

  12. Thank you 59th Conference of European Statistics (CES), 14 June 2011, Geneva

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