Towards Addressing CPU-Intensive Seismological Applications in Europe. - Michele Carpenè; Iraklis A. Klampanos; Siew Hoon Leong; Emanuele Casarotti; Peter Danecek; Graziella Ferini; André Gemünd; Amrey Krause; Lion Krischer; Federica Magnoni; Marek Simon; Alessandro Spinuso; et al. (ISC, 2013)

VERCE Delivers a Productive E-science Environment for Seismology Research. - Malcolm P. Atkinson 001; Michele Carpenè; Emanuele Casarotti; Steffen Claus; Rosa Filgueira; Anton Frank; Michelle Galea; Tom Garth; André Gemünd; Heiner Igel; Iraklis A. Klampanos; Amrey Krause; et al. (e-Science, 2015)

Comprehensible Control for Researchers and Developers Facing Data Challenges. - Malcolm P. Atkinson 001; Rosa Filgueira; Iraklis A. Klampanos; Antonis Koukourikos; Amrey Krause; Federica Magnoni; Christian Pagé; Andreas Rietbrock; Alessandro Spinuso (eScience, 2019)

DARE: A Reflective Platform Designed to Enable Agile Data-Driven Research on the Cloud. - Iraklis A. Klampanos; Federica Magnoni; Emanuele Casarotti; Christian Pagé; Mike Lindner; Andreas Ikonomopoulos; Vangelis Karkaletsis; Athanasios Davvetas; André Gemünd; Malcolm P. Atkinson 001; Antonios Koukourikos; Rosa Filgueira; et al. (eScience, 2019)

Active Provenance for Data-Intensive Workflows: Engaging Users and Developers. - Alessandro Spinuso; Malcolm P. Atkinson 001; Federica Magnoni (eScience, 2019)

Dr.Aid: Supporting Data-governance Rule Compliance for Decentralized Collaboration in an Automated Way. - Rui Zhao 009; Malcolm P. Atkinson 001; Petros Papapanagiotou; Federica Magnoni; Jacques D. Fleuriot (Proc. ACM Hum. Comput. Interact., 2021)

S-ProvFlow. Storing and Exploring Lineage Data as a Service. - Alessandro Spinuso; Malcolm P. Atkinson 001; Federica Magnoni (Data Intell., 2022)