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In one sense, data analysis occurs throughout the case study research process as the researcher continually interacts with the collected data and their informants. One of the advantages of case study research is its flexibility, allowing the researcher to pursue new lines of enquiry that are suggested by an informant's evidence or a piece of documentation. In another sense, the major task of analysis occurs once the bulk of the data has been collected and can be inspected, categorised and manipulated. The main analysis tools used were pattern matching and explanation building.
The pattern matching phase involved identifying particular themes in the respondents' responses to questions. It became clear that there were significant clusters of responses around the questions of the nature of publishing and the role of libraries. The analyses of these responses sought to compare and contrast these responses. The evidence is only presented later in the thesis. The explanation building phase revolved around the respondents' answers to the questions about the critical success factors for their projects to date. The evidence is presented in the Lessons Learned section of each case study. The results of both analyses are discussed later in this thesis (see 9: Interpretation of findings on page 161).
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