Data citizenship within an organization supports people who need access to data to be effective in their role. This data access needs to be embedded in the tools that they use and flexible enough to meet the changing challenges they face day to day. Since the data landscape is also changing, the tools that these people use need to be integrated with the data catalog.
This is shown in figure 1.
Figure 1: Capabilities needed to achieve Data Citizenship
Achieving data citizenship creates huge value for an organization. At this point it can claim it is truly data driven and can confidently may use of advanced techniques such as natural language processing and artificial intelligence. However there is a cost behind this benefit due to the metadata integration and synchronization required.
License: CC BY 4.0, Copyright Contributors to the ODPi Egeria project.