Accuracy and reliability

Overall accuracy

The quality of the results are considered as good within the framework of the sample strategy. The accuracy of the collected qualitative information on trade, IPR-strategy etc. is, based on general experience, considered good.

Sampling error

The showed uncertainty are based on the compiled Percentage of enterprises with trades in IPR 2014

Calculated on the Fields of resource the shares and respective confidence intervals (95 pct.) +/- are:

• All 3,3 +/- 0,6
• Food 2,8 +/- 1,1
• Furniture/clothes 6,0 +/- 3,7
• Tourism 0,1 (uncertainty can not be compiled)
• Building/housing 2,5 +/- 1,3
• ICT 4,6 +/- 1,6
• Transport 1,4 +/- 1,0
• Energy/environment 2,7 +/- 0,7
• Medico/health 5,0 +/- 0,7
• Other 4,7 +/- 1,8

The uncertainty is mainly due to low selection rate among smaller enterprises.

Further estimates for detailed levels of publication are available from our website under R&D and innovation/Patents

Subject

Non-sampling error

Very high response rate (over 95 pct.) therefore the non response have negligible influence on the results. The uncertainty linked to measuring are assessed as low.

Quality management

Statistics Denmark follows the recommendations on the organisation and management of quality set out in the Code of Practice for European Statistics and the accompanying implementation model, the Quality Assurance Framework. Read more about these on the page Quality in official statistics.

Quality management is supported by common principles, guidelines and managerial responsibility for quality in statistical products and processes. The aim is to ensure a systematic and consistent approach to quality across the entire statistical production.

Quality assurance

Quality assurance at Statistics Denmark is integrated into the statistical production processes and is carried out in accordance with the principles of the Code of Practice for European Statistics. Read more on the page Quality in official statistics.

Quality assurance includes the continuous use of standardised procedures, documentation in line with international standards and internal controls related to data collection, data processing and dissemination. Experience gained from production is continuously used to identify needs for adjustments and improvements.

Quality assessment

The accuracy of the qualitative information on trade, IPR-strategy etc. is considered good, based on general experience in Statistics Denmark. The IP-rights traded is in some cases based on an estimate from the respondent, and therefore there are some uncertainty connected with the raised figures.

Data revision - policy

Statistics Denmark revises published figures in accordance with the Revision Policy for Statistics Denmark. The common procedures and principles of the Revision Policy are for some statistics supplemented by a specific revision practice.

Data revision practice

Only final statistics are published therefore no needs for revisions.