  The significance of provenance in various settings has emphasised its
potential in the policy-making process for analytics in Smart Cities. At
present, there exists no framework that can capture the provenance in a
policy-making setting. This research therefore aims at defining a novel
framework, namely, the Policy Cycle Provenance (PCP) Framework, to capture the
provenance of the policy-making process. However, it is not straightforward to
design the provenance framework due to a number of associated policy design
challenges. The design challenges revealed the need for an adaptive system for
tracking policies therefore a model-driven approach has been considered in
designing the PCP framework. Also, suitability of a networking approach is
proposed for designing workflows for tracking the policy-making process.
