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For the analysis of the present study, mainly the face-to-face interview data of project leaders were used.
By following a knowledge-base creation process, the factual data of project, workers, and teaming factors can be inserted into ontologies.
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Moreover, the impacts from IT/IS on engineering projects are rarely based on real data of projects.
These criteria can be identified from data of projects stored in the measurement repository, interviews with projects members and projects documents.
From a practical point of view, an approach that generates specific models according to changing data of projects is an advantage.
That is, there is no formal characterization to the projects, but it is possible to identify a characterization by analyzing data of projects stored in the measurement repository, carrying out interviews with projects members and analyzing projects documents.
Problem I: The projects have an implicit characterization in the measurement repositoryActions for Suitability: (a) Define explicitly the projects characterization by analyzing data of projects that are stored in the measurement repository.
Dissatisfied: There is no explicit characterization, or it is inadequate, and it is not possible to identify criteria for determining a satisfactory characterization analyzing the data of projects stored in measurement repository, carrying out interviews with projects members or analyzing projects documents.
For instance, to the requirement 2 of Table 8, the following potential problems and actions for suitability were identified: Problem I: The projects have an implicit characterization in the measurement repositoryActions for Suitability: (a) Define explicitly the projects characterization by analyzing data of projects that are stored in the measurement repository.
The data consisted of project and policy documents as well as qualitative interviews with regional and national experts.
6) A Collaboration Review System, including an independent Information Governance Review Panel, was established to assess the appropriateness of requests to use the data, and of project results before publication.
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