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：碳足迹量化对于个人和企业在碳减排潜力方面做出明智决策至关重要。近期，众多关于产品与服务的碳足迹案例研究广泛传播。然而，由于各情景内部复杂的关联关系，其基本假设往往难以理解。同时，将某一情景重新利用并适配至本地或个人具体情况也并非易事。为应对这些挑战，我们提出一种开放互联的碳足迹情景数据模型，该模型通过设计提升了数据质量与透明度。我们通过一个基于网络的数据解释器原型展示了这一理念的落地实现。