5.1.5. Project Level

Project-level decisions involve the project director, designers, maintenance engineers, schedulers, and many other engineers responsible for project implementation at the projectimplementing unit. For effective decision-making, dimensions such as accuracy, consistency, and completeness from the syntactic level; and accessibility and timeliness from the empiric level are considered critical out of all 20 data quality dimensions. At the project level, its primary concern is data generation, the physical form of data generation, and storage for information generation. Therefore, the dimensions in the semantic and pragmatic categories that deal with information and knowledge generation are not of as high importance as the syntactic and empirics level at the project level.

### *5.2. Ranking of Dimensions within the Semiotic Framework Categories*

Garrett's ranking technique was used to analyse various dimensions for ranking the dimensions within the semiotic framework levels. The decision-makers were asked to rank the dimensions within the framework to understand their preferences for data quality dimensions within the semiotic framework. The semiotic framework comprised syntactic, empiric, semiotic, and pragmatic categories, which deal with the structure, meaning, information, and knowledge of data characteristics [32]. Before ranking the dimensions within the semiotic framework levels, the percentage position for the ranks and their corresponding Garrett value were calculated using Equation (1), as shown in Table 5. The total score was calculated for factors by multiplying the number of stakeholders ranking that dimension (Garrett and Woodworth [76]).

**Table 5.** Percentage position and Garrett value for rank 1 to 7.

