摘要：Existing data quality criteria often focus on the quality of the data itself while overlooking other aspects such as the relevance between data and downstream tasks. Furthermore, prior to data collection, policy-makers lack ground truths or labelled data, and are unable to filter data using quantitative criteria. To ensure the collection of reliable, necessary, and sufficient data for policy-making, this study derives a data-driven policy-making framework from Environment-based Design (EBD). Based on the framework, we present five qualitative criteria called RULER (Reliable, Uncoupled, Lifecycle, Environment, Relevant) to evaluate and filter data for data-driven waste management and policy-marking. A case study from Beijing, China shows how to apply these criteria, through which a relatively reliable, sufficient, and necessary data list is given as result.
