Managing data and information quality in construction engineering : a system design approach

ed to a general level, it is possible from the discussion to give an overall picture of how quality dimensions should be handled in construction engineering (Figure 10). Figure 10. Handling quality dimensions in construction engineering The left side of Figure 10 displays quality dimensions, and the right side displays how these dimensions were addressed. As shown, completeness, consistency and logical coherence were dimensions directly assessed by rules. This means that rules were defined to assess data values for divergences related to these three dimensions. These three dimensions also covered the dimensions of accessibility and accuracy as understood at EUMEC; hence they were indirectly assessed by rules addressing the first three dimensions. Further, two dimensions were ensured by the rules: relevance, because the rules reflected project requirements; and timeliness, because delivery dates were captured by the rules and could be used to prioritize errors. Finally, business policies ensured access to project data only by project participants. Hence, the security dimension was covered by these policies. I believe the above discussion illustrates that even if Neely and Cook (2008) concluded that quality dimensions were an over-researched area in DQ/IQ literature, it is still necessary to investigate dimensions, their meaning and their use when approaching a new