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Many organizations are planning to engage in the monetization of data. However, it turns out to be a practical problem where to start and what to build on from the existing capabilities. A maturity model helps assess the maturity of the actual capabilities. At the same time the same model can be used to prescribe a desired target state. The gap between the target state and the actual status helps setting up actions to remedy the situation. This paper proposes a Data Maturity Model (DMMM), the first maturity model for data monetization. It has been sci-entifically developed bottom up based on literature and extensive expert knowledge and its first release is extensively documented here.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |