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Prior to the 2012 seminar, participants were asked to complete an online questionnaire about the organization and practices relating to data collection in their institutions.  Below is a summary of the major findings.

Please note that the survey was designed to provide an overview rather than scientific measurements.  Only organizations represented at the seminar were invired to take part; some participants were unable to give accurate answers; and many questions were worded in such a way as to elicit approximate rather than precise answers.  The goal was to explore the general commonalities, differences, challenges and opportunities faced by the international statistical community with regard to data collection, in order to drive ideas about what work is needed and especially how international collaboration could help.

Results of 2012 Survey on Country Practices for the Organization of Data Collection*



 Measures in place to reduce the burden on respondents
8use of administrative sources
7electronic questionnaires
5overlap control
3avoiding duplication of data
3instrumental design and testing
3integrated questionnaires
3sample rotation
3special arrangements to assist respondents 
3tracking response burden hours 
2better support for respondents
2questionnaire redesign in consultation with respondents 
2reduction of the number of questions in a questionairre
2re-use of data
2sample size reduction
1 targets to reduce the burden on businesses. 
1avoid oversampling among different programs
1file transfer option as an elternative to filling in questionnaires
1load limits for respondents
1monitor number of surveys
1partial imputation
1propensity scoring measures
1threshhold sampling algorithms
1uploads from companys' software
1usage of samples instead of exhaustive surveys






Data Sources:




Modes of data collection:




How centralized data collection is within NSO's:




Challenges, Advantages, and Effort associated with data collection:

 Challenges Advantages Efforts
17budgetary pressures/reducing costs9legal provisions6increasing use of administrative and tax data
16maintaining response rates 7population, business, and/or administrative registers5use of new data sources
5reducing response burden6 good reputation of the organisation2standardize and establish uniformity of collected data
3staff reduction2unique ID numbers1define data validation standards and automate validation process
2legal obstacles1centralized public administration systems1extended legal possibilities to combine data
1administrative simplification1e-questionnaire1eliminate low value, add work, and create capacity
1automization of data transfer1expertise in data collection activities1implementation of a nationwide ID for legal units
1changing sentiment toward voluntary reporting1internet is widely available and widely used1improve data reporting
1electronic data collection infrastructure1ongoing support and trust of data providers1long-term co-operation with various stakeholders
1geographical challenges1recognition of the value for statistical information1more efficient ways to collect data 
1large and complex multi-faceted operations1cooperation with partners1prefill of administrative sources within surveys
1more efforts needed to obtain data  1reducing respondent burden
1negative priorities  1reworking existing questionnaires
1technical challenges in exploiting administratve data    
1use of comercial sources    
1use of geo-coordinates    








*Since the majority of survey questions were text based, the results on this page are qualitative and subject to interpretation.

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