Ground Truth Or Dare: Factors Affecting The Creation Of Medical Datasets For Training AI. - Hubert Dariusz Zajac; Natalia Rozalia Avlona; Finn Kensing; Tariq Osman Andersen; Irina Shklovski (AIES, 2023)

Matters of Data Care: From data-centric to domain-centric patient-centrism in the Health Tech Sector. - Natalia Rozalia Avlona; Irina Shklovski (ECSCW, 2023)

Data of/by/for the People: Designing Participatory Approaches to Data Governance. - Harriet Simms; Aditi Surana; Carlos Guerrero Millan; Natalia Rozalia Avlona; SJ Bennett; Ewa Luger; Bettina Nissen (Conference on Designing Interactive Systems (Companion Volume), 2024)

How to Avoid Jumping to Conclusions: Measuring the Robustness of Outstanding Facts in Knowledge Graphs. - Hanhua Xiao; Yuchen Li 001; Yanhao Wang 001; Panagiotis Karras; Kyriakos Mouratidis; Natalia Rozalia Avlona (KDD, 2024)

Copycats: the many lives of a publicly available medical imaging dataset. - Amelia Jiménez-Sánchez; Natalia Rozalia Avlona; Dovile Juodelyte; Théo Sourget; Caroline Vang-Larsen; Anna Rogers; Hubert Dariusz Zajac; Veronika Cheplygina (NeurIPS, 2024)

Towards actionability for open medical imaging datasets: lessons from community-contributed platforms for data management and stewardship. - Amelia Jiménez-Sánchez; Natalia Rozalia Avlona; Dovile Juodelyte; Théo Sourget; Caroline Vang-Larsen; Hubert Dariusz Zajac; Veronika Cheplygina (CoRR, 2024)

In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review. - Amelia Jiménez-Sánchez; Natalia Rozalia Avlona; Sarah de Boer; Víctor M. Campello; Aasa Feragen; Enzo Ferrante; Melanie Ganz; Judy Wawira Gichoya; Camila González; Steff Groefsema; Alessa Hering; Adam Hulman; et al. (FAccT, 2025)