Human-in-the-Loop Data Quality Feedback Loops via Interactive Metadata Provenance Tools

Fischer et al. (2023) highlight the importance of accessible, structured metadata and provenance in spatial data infrastructures, but current tools mostly support one-way, producer-centric workflows. This idea introduces “living” metadata dashboards where both data users and producers can interact: flagging anomalies, suggesting corrections, and adding context (e.g., “This spike is due to a known instrument failure”). Feedback would be versioned and auditable, leveraging concepts from collaborative platforms like Wikipedia or open code repositories. By synthesizing user-driven and automated approaches, this method democratizes data quality governance, accelerates anomaly resolution, and significantly enhances data fitness-for-use in dynamic, interdisciplinary environments (from urban planning to climate science).

References:

1. Approaches and tools for user-driven provenance and data quality information in spatial data infrastructures. Julia Fischer, L. Egli, J. Groth, Caterina Barrasso, Steffen Ehrmann, Heiko Figgemeier, Christin Henzen, Carsten Meyer, R. Müller-Pfefferkorn, Arne Rümmler, Michael Wagner, L. Bernard, R. Seppelt (2023). International Journal of Digital Earth.