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

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

59th Conference of European Statisticians (CES), 14 June 2011, Geneva 59th Conference of European Statistics (CES), 14 June 2011, Geneva 1 Overview Organizing data collection activities:YesterdayToday Process-and-knowledge driven approach Challenges we face today Data Collection Strategy Developments over the years

59th Conference of European Statisticians (CES), 14 June 2011, Geneva 59th Conference of European Statistics (CES), 14 June 2011, Geneva 2 Data Collection over the years 2 Stove pipesData Collection 2000Partial CentralisationData Collection Now < Present

59th Conference of European Statisticians (CES), 14 June 2011, Geneva 59th Conference of European Statistics (CES), 14 June 2011, Geneva 3 Drivers for centralizing data collection: Achieving efficiency by: Abolishing redundant processes, workflows, and activities for social and business surveysMonitoring processes, workflows, and activities Abolishing redundant systems and toolsOne data collection management systemMaintaining as less systems and tools as needed Spin off Clear and professional external focus Reducing response burden

59th Conference of European Statisticians (CES), 14 June 2011, Geneva 59th Conference of European Statistics (CES), 14 June 2011, Geneva 4 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 fte 122 fte

59th Conference of European Statisticians (CES), 14 June 2011, Geneva 59th Conference of European Statistics (CES), 14 June 2011, Geneva 5 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

59th Conference of European Statisticians (CES), 14 June 2011, Geneva 59th Conference of European Statistics (CES), 14 June 2011, Geneva 6 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

59th Conference of European Statisticians (CES), 14 June 2011, Geneva 59th Conference of European Statistics (CES), 14 June 2011, Geneva 7 To be ready for the future Reliable statistics:relevantmore & integrated informationfaster Less moneyimproving cost-efficiency Less compliance costsreduction of response burden Implementation of Data Collection Strategy

59th Conference of European Statisticians (CES), 14 June 2011, Geneva 59th Conference of European Statistics (CES), 14 June 2011, Geneva 8 The 2011 Data Collection Strategy: Retrieving and returning 3 steps: 1. Re-use of available dataData 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 Statisticians (CES), 14 June 2011, Geneva 59th Conference of European Statistics (CES), 14 June 2011, Geneva 9 How to achieve this? Data Collection Division:Coordinated data collection for social and business surveysMixed-mode designs Data Service Centre & Social Statistical Database:Data warehousing Research (in collaboration with Methodology Division):Statistical methods for combining data sourcesNew sourcesEDI techniquesWeb survey methodology, mixed-mode surveys, pre-testingNew media Survey-based projects:Re-designing chain of Economic Statistics: - using more register data / XBRL / Web questionnairesRe-design of Social Surveys: - developing web questionnaires

59th Conference of European Statisticians (CES), 14 June 2011, Geneva 59th Conference of European Statistics (CES), 14 June 2011, Geneva 10 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 Statisticians (CES), 14 June 2011, Geneva 59th Conference of European Statistics (CES), 14 June 2011, Geneva 11 Thank you