Data freshness has been identified as one of the most important data quality attributes in information systems. This importance increases especially in the context of systems that integrate a large set of autonomous data sources. In this paper we describe a quality evaluation framework which allows evaluation of data freshness in different architectural contexts. We also show how this quality factor may impact the reconfiguration of a data integration system to fulfill user expectations.