The data for public statistics have important peculiarities which differ from actual gold standards in science. The most important differences from our view are shown below:
Mandatory data collection for the control of the public's operations or performance
Affected by equal rights legislation in the majority of data
Voluntary data submission of citizens or their organisations is rare
Mandatory compliance with data submission timelines
State of the art statistical science has identified the following main quality deficits in public data:
Heavily biased due to direct financial implications for the source of information
Biases originating from legal, political or other lobbying interventions
Widespread lack of independent and comprehensive raw data verification processes as adverse effects of data protection legislation and control-
Uncritical trust in public databases as the information about the "whole population" without sampling errors.
We are experienced in the assessment and evaluation of public data and we can provide advice and design alternative data sources for critical decisions.