The AI Ready Data Challenge is a hands-on, collaborative event bringing together dataset owners, researchers, standardisation experts, and AI practitioners to evaluate datasets against the 18 Data Quality Metrics defined in ETSI TR 104 180 and the open-source validation toolset developed in the associated Proof of Concept (PoC), hosted by Sejong University. 

Participants bring their own real-world datasets and put all 18 ETSI TR 104 180 data quality metrics (Completeness, Reliability, Redundancy, Accuracy, Timeliness, Consistency, Integrity, Uniqueness, Precision, Availability, Coverage, Lineage, Anonymity, Label Quality, Traceability, Confidentiality, Measurement Bias, and Representation Bias) to the test, generating hands-on evidence. Across domains ranging from industrial IoT and AI/ML training datasets to data spaces and physical AI, participants will discover which metrics matter most for their specific use case and why.

Every result will feed directly into the future of standardisation: the empirical findings gathered during the challenge will inform the transition from TR 104 180 to a Technical Specification that will shape the next generation of standardised methods for data quality evaluation. Throughout the two days, participants get live access to an open-source Data Quality Validation tool.