Datasets on armed conflicts are built through complex procedures involving categorizing and classifying single events, aggregating raw data and making changes as new information becomes available. They are usually designed to be shared. This paper reviews each of these steps and proposes methods to enhance both the openness and reliability of these datasets and their accompanying procedures. It aims at helping put into practice the general guidelines of scientific methodology and bridge the gap between epistemology and the management of conflict data.
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