CONNECT HUB

Organisation name *

Organisation type *

University / Research institute

Industry (SME)

Industry (Large enterprise)

Government agency / Public body

Standardisation body

Other

Country *

What is your main motivation for participating? *

Test data quality metrics on our own datasets

Contribute to future standardisation

Evaluate the PoC validation tool for potential adoption

Explore EU-Korea data quality cooperation

Understand data quality requirements for AI/ML applications

Academic research on data quality

Other

What is your current level of familiarity with ETSI TR 104 180? *

Have you attended the introductory webinar on TR 104 180? *

Yes, attended live

Yes, watched the recording

No, but plan to before the event

No

Dataset name / identifier *

Brief description of the dataset *

Intended use case(s)

AI/ML model training

AI/ML model validation / testing

Data exchange / interoperability (data space)

Real-time monitoring / control

Statistical analysis / reporting

Regulatory compliance

Physical AI / embedded intelligence

Other

Dataset size: describe for each datasept you aim to rpovide: - Approximate number of records / rows - Number of attributes / columns - File format (CSV, XLSX, JSON, etc.) - Approximate file size

Does the dataset contain time-series data?

Yes — with explicit timestamps

Yes — with implicit temporal order (sequence numbers, cycles)

No — snapshot / static dataset

Does the dataset contain labelled data for AI/ML?

Does the dataset contain personal or sensitive data?

Datasets containing personal data must be fully anonymised or pseudonymised before submission. The organisers do not accept identifiable personal data. Participants are responsible for ensuring compliance with applicable data protection regulations (GDPR, PIPA, etc.).

Data submission format preference

I will upload the dataset directly in the PoC tool on-site (Day 1)

I will submit the dataset in advance (before September 10th) via the secure upload link

I would prefer to use a synthetic / anonymised version of the dataset — please advise

Is your organisation willing to share results publicly? *

Does your organisation have existing business rules or thresholds defined for data quality? *

Event registration

INPACE

AI Ready Data Challenge (On site only !)

Organisational Information

Background & Motivation

Dataset Information

Metrics & Technical Preferences