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One of my problem in finishing Indonesian Research Mapping is on transformation. The first stage is qualitative. I have to classify hundreds research tittle into priority sector as mentioned in the National Research Agenda. After the data is being grouped, I use quantitative approach to get the general idea of what was happened with Indonesian research activities, then I transform it again into qualitative recommendation. Hmm… so how valid the data would be? As a mathematician, my favorite data is the raw one. It’s the most honest one, but having hundreds data without any group won’t give any meaning, that is way transformation is needed.
Beside validation, the other problem is how this intrpretaion can give its impact? Is it on the quantitative layer or in the qualitative one, such as vision and mission? How rigid a policy should be?
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