Poor data and information quality (DQ/IQ) causes delays and cost overruns in engineering construction projects. However, only little DQ/IQ research has been performed in this context. This paper explores quality dimensions in the context of engineering construction projects. The most important dimensions identified by Ge, et al., (2011) is used as a basis and compared with dimensions used in 12 large engineering construction projects in one organization. The findings show that six of these dimensions are in use in those projects: accessibility, security, relevancy, completeness, consistency, and timeliness. In addition, the findings indicate another dimension also very important in this context; logical coherence. The logical coherence dimension compares different data values and determines if there is any illogicality between them. Three dimensions are monitored by rules provided by a DQ/IQ tool, and we discuss about the contributions which such a tool can provide for an engineering construction firm.