  Carbon footprint quantification is key to well-informed decision making over
carbon reduction potential, both for individuals and for companies. Many carbon
footprint case studies for products and services have been circulated recently.
Due to the complex relationships within each scenario, however, the underlying
assumptions often are difficult to understand. Also, re-using and adapting a
scenario to local or individual circumstances is not a straightforward task. To
overcome these challenges, we propose an open and linked data model for carbon
footprint scenarios which improves data quality and transparency by design. We
demonstrate the implementation of our idea with a web-based data interpreter
prototype.
