A Framework to Identify Data Governance Requirements in Open Data Ecosystems. - Armin Haberl; Christine Dagmar Malin; Stefan Thalmann (Bled eConference, 2022)

Take the aTrain. Introducing an Interface for the Accessible Transcription of Interviews. - Armin Haberl; Jürgen Fleiß; Dominik Kowald; Stefan Thalmann (CoRR, 2023)

Black Box or Open Science? Assessing Reproducibility-Related Documentation in AI Research. - Florian Koenigstorfer; Armin Haberl; Dominik Kowald; Tony Ross-Hellauer; Stefan Thalmann (HICSS, 2024)

Reproducible AutoML: An Assessment of Research Reproducibility of No-Code AutoML Tools. - Sabrina Pletzl; Armin Haberl; Tony Ross-Hellauer; Stefan Thalmann (Wirtschaftsinformatik, 2024)

Reproducibility in machine-learning-based research: Overview, barriers, and drivers. - Harald Semmelrock; Tony Ross-Hellauer; Simone Kopeinik; Dieter Theiler; Armin Haberl; Stefan Thalmann; Dominik Kowald (AI Mag., 2025)