What are the steps of the SCA?
The SCA requires three steps to be followed, which are (1) data collection, (2) data processing, and (3) data analysis. The graphic below illustrates the outputs of the single steps as well as the overall outputs.
Step 1: Data collection
Step 1 is all around data identification and collection, following a data collection structure (Layers) to assess the situation around data availability and the completeness of data and do the field work for Step 2.
Find out more about Step 1 - Data collection
Step 2: Data processing
Partly in parallel to the data collection in Step 1, partly thereafter, Step 2 revolves around processing the data (and modelling the flows and stocks). That means that the collected and uploaded data will be converted so that it can be loaded into a single database in the online Data Hub for easier handling going forward. This process will help to identify data gaps and includes the approximation of data in the case where there is none for the city scale.
Find out more about Step 2 - Data processing
Step 3: Data analysis
Following the collection and processing, Step 3 is where it all comes together for the analysis. Taking all the processed information, a system-wide look will be taken across the inflows and outflows to better understand what is going on in the sector. Data visualisations (incl. Sankey diagrams) and the indicators will be evaluated to connect the various parts of earlier work and get new insights. There is much more to these single steps and the following part therefore describes the HOW - how is the method carried out - conducting the three necessary steps, including the tools and data necessary for them.
Find out more about Step 3 - Data analysis