Every day, 2.5 quintillion bits of data are created. Understanding the data is a big challenge. Business leaders require the right tools to make informed decisions that will lead to growth and success. Sharing data can help to reduce siloes, boost productivity, and speed up the process of gaining insights.

It’s not enough to have a valid reason to share data. You need to know what you’re looking to accomplish. According to the Gartner Sixth Annual Chief Data Officer Survey (PDF) Companies who are successful in promoting sharing data provide 1.7 times the value of their competitors.

The second meta-dimension is interpretability. It refers to how well an piece of information can be understood. This may vary based on the theme or pattern of B2G data sharing. For example when working with sensitive data, it’s more crucial to have a high level of interpretation than when monitoring something in the moment where accuracy may be more important than timeliness.

Continuity refers to a data-sharing situation’s ability to ensure that information flows without interruption. This could be of various importance based on the topic or nature of the situation. For instance continuity is a crucial factor when you are monitoring a phenomenon for a long time. However, it is not as important in research. In both instances, it is advisable to include a metric on this aspect when creating the taxonomy.

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