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    Accuracy and reliability

    Contact info

    Science, Technology and Culture, Business Statistics
    Jens Frederik Mortensen
    +45 20 37 93 45

    jfm@dst.dk

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    Activities of foundations

    There is no indication of large biases in the result. There can be a small underestimation due to measurement error due to non-response among the smaller units.

    Overall accuracy

    There is no indication of large biases to the result.

    Sampling error

    The coefficient of variation for total grants are:

    • 0,8 percent for commercial foundations
    • 4,3 percent for Civil foundations etc.

    Non-sampling error

    There is no assessment of big uncertainties. The largest uncertainty is on smaller units which are less important to the overall picture. The distribution of the grants by purpose is based on the reporting party's interpretation of the guidance. There may therefore be differences in understanding.

    Quality management

    Statistics Denmark follows the recommendations on organisation and management of quality given in the Code of Practice for European Statistics (CoP) and the implementation guidelines given in the Quality Assurance Framework of the European Statistical System (QAF). A Working Group on Quality and a central quality assurance function have been established to continuously carry through control of products and processes.

    Quality assurance

    Statistics Denmark follows the principles in the Code of Practice for European Statistics (CoP) and uses the Quality Assurance Framework of the European Statistical System (QAF) for the implementation of the principles. This involves continuous decentralized and central control of products and processes based on documentation following international standards. The central quality assurance function reports to the Working Group on Quality. Reports include suggestions for improvement that are assessed, decided and subsequently implemented.

    Quality assessment

    The greatest quality issue arises from the scale of the survey. The focus in error detection is to get the most significant units correct. Quality problems will therefore be greater on smaller units.

    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

    The statistics does not publish preliminary figures

    Relevance

    Timeliness and punctuality