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Tasks of the Business and Population Services Statistics Data Collection Department

Business and Population Services Statistics Data Collection Department

 

1. Areas of expertise of the Business and Population Services Statistics Data Collection Department:
1.1.  statistics on internal trade statistics and trade register,
1.2.  tourism statistics and statistics on accommodation register,
1.3.  transport and traffic statistics,
1.4.  information and communication statistics,
1.5.  R&D and innovation statistics,
1.6.  data collections for social statistics,
1.7.  data collections from non-profit organisations,
1.8.  data collections for health statistics,
1.9.  data collections for housing statistics,
1.10. data collections for vital statistics,
1.11. data collections for education, cultural and sport statistics,
1.12. and data collections for the registration of administrative changes.
 
2. Tasks of the Business and Population Services Statistics Data Collection Department according to the statistical data production process:
2.1.  in the field of data collection organisation: to ensure the availability of the personnel and technical conditions necessary for carrying out data collection, to co-operate in notifying respondents and data holders of their data provision obligations, to produce questionnaires and auxiliary materials;
2.2.  in the field of data collection and delivery:
  2.2.1. to collect statistical data and their metadata;
  2.2.2. to receive data transmissions;
  2.2.3. to code the reasons for missing questionnaires or missing data;
  2.2.4. to complete data collections;
2.3.  to provide professional and technical support for the activities of data collectors and data providers;
  2.3.1. to provide information to data providers newly involved in monitoring, and to establish professional contacts;
  2.3.2. to urge respondents (by telephone, via e-mail or in letter) to fill out non-received questionnaires;
  2.3.3. to perform tasks related to the ELEKTRA Call Centre;
  2.3.4. in the field of validation: reconciliation of errors detected during validation with data providers;
2.4.  in the field of coding: to code collected data according to nomenclatures and classifications;
2.5.  in the field of micro-validation or meso-validation:
  2.5.1. comparison of collected elementary data according to pre-defined validation criteria;
  2.5.2. comparison of elementary-level data with data from other data sources;
  2.5.3. identification of outliers;
  2.5.4. correction of coding errors;
  2.5.5. meso-validation;
2.6.  in the field of editing:
  2.6.1. reconciliation of detected errors with data submitters;
  2.6.2. correction of errors according to pre-defined rules;
  2.6.3. to complete data preparation;
2.7.  to perform register maintenance tasks related to data collections;
2.8.  to co-operate in design and development tasks of surveys;
2.9.  to maintain contacts with data providers in respect of all events arising during the preparation and implementation of data collections.