"automated data collection in accommodation statistics: a european overview"...
TRANSCRIPT
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"Automated data collection in accommodation statistics: a
European overview"
Rome, 3rd December 2012
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• Introduction
• ESSnet project “Automated data collection and reporting in accommodation statistics ”
• Advantages and disadvantages
• Next steps
• Conclusions
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Introduction
• Regulation 692/2011, economical situation: more information, key indicators. But…
• Code of practice, regulations: reduce the respondent burden.
• Information available in the management software of accommodation establishments…
• Automated data collection: different formats (XML, XBRL), different uses (accommodation statistics, structural business statistics, social surveys).
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Spain
Norway
Sweden
Finland
Belgium
LatviaLithuania
Poland
Bulgaria
SlovakiaHungary
CroatiaSwitzerland
Automated data collection in Europe
Spain
Switzerland
Luxembourg
Belgium Germany
Denmark
NorwaySweden
Finland
LatviaLithuania
Poland
SlovakiaHungary
BulgariaCroatia
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ESSnet project I
• In 2011 ESSnet project “Automated data collection and reporting in accommodation statistics” was launched.
• Spain (coordinator), Bulgaria, Belgium, Finland, Latvia, Lithuania, Poland and Slovakia.
• Aim: develop a common European XML file => conclusion: each country has developed a XML/XBRL file for accommodation statistics.
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ESSnet project II
Work Package 2: To research on the management software packages
Work Package 3: To analyse the automated data collection systems already working
Work Package 4: Definition of a common XML schema for occupancy surveys
Work Package 5: Application to receive XML files
Work Package 6: Evaluation of NSI’s information systems
Work Package 7: Feed-back reports to establishments
Work Package 8: Dissemination
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Advantages For establishments:
• A big reduction of the response burden;• The feed-back reports containing customized
information.
For Statistical Organizations:• An increase of the quality of the data (no typing
error, no missing data, validation before including the data into the NSI database);
• A reduction in the costs (no need to type the data, no need for editing or imputation);
• An improvement of timeliness and punctuality.
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Disadvantages For establishments:
• Costs in money and/or time to buy/develop the application;
• Establishments can be afraid to technical problems or confidentiality.
For Statistical Organizations:• Costs to implement the new collection system,
although once the system is implemented can be used for other surveys and the use of open-sources software can help.
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Next steps
Countries that have already developed the automated data collection system:
• To analyze the possibility to broaden the system to other surveys;
• To increase the number of establishments;• To create synergies with other countries (international
chains).
Countries that have not developed the automated data collection system:
• To take advantage of the work done by the countries using this data collection system.
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Conclusions
Automated data collection
Code of PracticeRegulation 223/2009Regulation 692/2011 GSBPM
Non excessive
burden on respondents
Quality, coherence
andcomparability
Costs saving
Feed-back with users
Validation,editing
andimputation
Timeliness