Data-Centric AI Manifesto: How Data Quality Drives Modern AI
This white paper represents the joint outcome of five partners within the FAIR project, spanning four different spokes, who collectively contributed to the activities of Transversal Project 7 (FAIR TP7 – Data-Centric AI and Infrastructures). The contributing institutions are: University of Bari Aldo Moro (Spoke 6), University of Calabria (Spoke 9), University of Naples Federico II (Spoke 3), University Sapienza of Rome (Spoke 5), and INFN – National Institute of Nuclear Physics (Spoke 6). Their coordinated effort reflects the interdisciplinary and multi-institutional nature of FAIR, reinforcing the central role of data-centric methodologies in advancing trustworthy and robust AI systems.
Authors
- D. Elia (ORCID: https://orcid.org/0000-0001-6351-2378)
- Mara Sangiovanni (ORCID: https://orcid.org/0000-0003-4511-5031)
- Domenico Diacono (ORCID: https://orcid.org/0000-0002-8060-5805)
- Vincenzo Pasquadibisceglie (ORCID: https://orcid.org/0000-0002-7273-3882)
- Antonella Poggi (ORCID: https://orcid.org/0000-0002-4030-3458)
- V. Spinoso
- Gioacchino Vino
- D. Scheirich (ORCID: https://orcid.org/0000-0001-6012-7191)
- Roberto Maria Delfino (ORCID: https://orcid.org/0000-0002-5492-5290)
- Mario Alviano
- Tommaso Boccali
Institutions
- Istituto Nazionale di Fisica Nucleare (IT)
- University of Calabria (IT)
- University of Bari Aldo Moro (IT)
- University of Naples Federico II (IT)
- Sapienza University of Rome (IT)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-01-15
- DOI
- https://doi.org/10.5281/zenodo.18260778
- Primary Topic
- Research Data Management Practices
- Type
- article
- Field-Weighted Citation Impact
- 0.00