2260 - Explain why metadata are important for assessing and ensuring the quality of geospatial data

Explain why metadata are important for assessing and ensuring the quality of geospatial data

Concepts

  • [GD4] Data Quality, Metadata and Data Infrastructure
    Data quality is the degree of data usability in relation to given objective and particular application. The expectations to data vary between different applications. The key criteria in data quality are the amount of uncertainty in data as compared to the acceptable level of uncertainty. Evaluation of the usability may be more complicated using data from secondary sources. Appropriate metadata is inevitable for these judgements. Aspects of data quality include geometric and thematic accuracy, (in)consistencies, resolution, precision, usability and others. Assurance of data quality may be improved by following proper standards and spatial data infrastructure regulations for data collection and management. System of basic data quality measures for geospatial domain in the EN ISO 19157:2013 standard.