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.

翻译：碳足迹量化是个人及企业基于充分信息做出碳减排潜力决策的关键。近期，众多产品与服务的碳足迹案例研究广为流传。然而，由于各场景内部关系错综复杂，其基础假设往往难以理解。同时，将场景重新利用并适配至本地或个人情况亦非易事。为应对这些挑战，我们提出了一种面向碳足迹场景的开放关联数据模型，该模型通过设计提升了数据质量与透明度。我们通过一个基于Web的数据解释器原型，展示了该理念的实际部署。