Coursera Spring Sale
40% Off Coursera Plus Annual!
Grab it
Attend this 50-minute seminar where Liliane Kunstmann from IMPA explores how to make scientific applications provenance-aware and transition from opaque results to auditable, trustworthy scientific outcomes. Learn the core concepts of provenance and discover how capturing provenance information can actually benefit scientific applications beyond theoretical understanding. Explore practical applications of provenance in scientific computing, from monitoring to data analysis, and examine approaches and tools designed to seamlessly capture and manage provenance information within complex simulation environments. Understand how provenance serves as an audit trail for scientific applications and can be used to evaluate data quality, reliability, and trustworthiness, ultimately supporting reproducibility and validation requirements for scientific results that inform decision-making processes.
