Every day, 2.5 quintillion bits of data are generated. Making sense of the data is a big challenge. Business leaders need the right tools to make informed decisions that will lead to expansion and success. Sharing data can help reduce silos, increase productivity, speed up time to insight, and reduce the time required to analyze.
But it’s not enough to simply have a good reason to share information: you must also have an idea of what outcomes you’re hoping to achieve. According to the Gartner Sixth Annual Chief Data Officer Survey (PDF) Companies that successfully promote sharing data can provide 1.7 times the value of their competitors.
The second meta-dimension, interpretability refers to the degree of understanding a given piece of information has and can differ based on the specific nature and structure of the B2G data sharing scenario for instance, the need for high levels interpretation when working with sensitive or personal data is more crucial than in the case of monitoring a specific event over time, in which the timeliness might take precedence over accuracy.
In the end, continuity refers to the capacity of a particular B2G sharing situation to ensure that the flow of information is uninterrupted. This can be of varying importance based on the topic or the pattern of the event. For example continuity could be vital when you are monitoring a phenomenon for a long period of time. However, it is not as important in the research. In both instances it is recommended to include a signpost on this aspect in the creation of the taxonomy.