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MINT Implementation Checklist

871 bytes added, 15:28, 7 October 2014
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== Possible implications ==__NOEDITSECTION__
While most of the questions listed above help identifying detailed requirements and structuring the implementation, some could have answers that might be blocking. For example:
<ul>
<li>If absolutely no resources can be allocated / no one is available to be trained on MINT, then an implementation will most probably not make sense.</li>
<li>If the identified data source (e.g. IMSMA) is not trustworthy, i.e. it is known that the collected data does not illustrate reality, then this issue needs to be addressed first. Visualising data that is known to be wrong does not make sense.</li>
<li>If the data underlying the information to be visualised it not available/collected, then the data collection process has to be adapted first. This could go hand in hand with a MINT implementation though, even if it will take time to have a sufficient amount of data.</li>
</ul>
== Monitoring a MINT implementation ==__NOEDITSECTION__
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