{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/cca6f64a1b60439888f5e8c7ebd5b6df\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/cca6f64a1b60439888f5e8c7ebd5b6df-58a4b85efdd3f00c.gif","duration":50.498,"title":"Automated Data Quality Assessment for EPD Reporting","description":"This Loom explains an automated data quality assessment as a required part of EPD reporting. It addresses why the process is often manual, inconsistent, or skipped, and how automation helps identify weak data sets earlier, explain choices to verifiers, and improve reliability of product and project documentation. The demo shows raw materials in an EPD project where each row has a data quality setting that provides supporting information. Data quality is graded based on time, representativeness, geography, and technology."}