Data submitted to ICES databases undergo several steps of quality verification.
Quality Control checks are specified by the relevant governance group for the data stream, which has representation from data providers, data users and technical experts on data management. The majority of these checks are documented in the portals directly and quality control is largely automated through online screening programmes such as the ICES Data Screening Utility or XML and Schematron – or combinations of these. Some of the data streams have additional
automated scripted quality control performed via publically available R
scripts in the ICES Github repositories.
Quality assurance procedures are undertaken by the ICES expert groups at various stages in the life cycle of data: at data collection, groups of experts will evaluate the latest data against the entire dataset and document variations in working group reports for the specific survey/data collection available in the ICES publications library. When the data are used in assessment, the assessment report, and the associated management advice, comment on the quality of the data, which is fed back to the data submitter and the ICES Data Centre.
All data quality control checks performed by the online screening programmes, or by ICES data officers before data are uploaded to the thematic portals are documented in the Quality Control Database (QC DB).