For non-collaborative data sources, quality-aware query processing is difficult to achieve because the sources generally do not export data quality indicators. This paper presents a prospective work on the declaration of metadata describing data quality and on the adaptation of query processing for taking into account constraints on the quality of data and finding dynamically the best trade-off between the cost of the query and the quality of the result.