DataPACT

Compliance by design of data/AI operations and pipelines

DataPACT focuses on revolutionising data/AI operations by integrating compliance, privacy, and environmental sustainability into their core design — making them foundational elements of data/AI pipelines rather than afterthoughts.

The project addresses the challenges posed by new AI models, ever-increasing data volumes, complex AI systems, and a multitude of emerging legislation such as the GDPR, the Data (Governance) Act and the AI Act. DataPACT delivers three key resources:

  • a Compliance Toolbox and a Compliance Framework for assessing data/AI pipelines, and
  • a data/AI pipeline management toolbox for building compliance-aware pipelines.

DataPACT supports the open European data spaces, helping organisations create fair, privacy-respecting and transparent data-driven systems. Our contribution builds on the lab’s line of work on consent management in databases and data workflows (Konstantinidis et al., 2021; Filipczuk et al., 2024).

Official website: datapact.eu

DataPACT is funded by the European Union’s Horizon Europe research and innovation programme under grant agreement No 101189771, with a consortium of 19 partners.

References

2024

  1. SIGMOD Rec.
    Graph Theory for Consent Management: A New Approach for Complex Data Flows
    Dorota Filipczuk, Enrico H. Gerding, and George Konstantinidis
    ACM SIGMOD Record, 2024
    DOI Bib HTML

2021

  1. PVLDB
    Enabling Personal Consent in Databases
    George Konstantinidis, Jet Holt, and Adriane Chapman
    Proceedings of the VLDB Endowment, 2021
    DOI Bib PDF