Provenance for seismological processing pipelines in a distributed streaming workflow. - Alessandro Spinuso; James Cheney; Malcolm P. Atkinson 001 (EDBT/ICDT Workshops, 2013)

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)

WS-PGRADE/gUSE in European Projects. - Tamás Kiss; Péter Kacsuk; Róbert Lovas; Ákos Balaskó; Alessandro Spinuso; Malcolm P. Atkinson 001; Daniele D'Agostino; Emanuele Danovaro; Michael Schiffers (Science Gateways for Distributed Computing Infrastructures, 2014)

Workflows in a dashboard: a new generation of usability. - Sandra Gesing; Malcolm P. Atkinson 001; Rosa Filgueira; Ian J. Taylor; Andrew Jones 003; Vlado Stankovski; Chee Sun Liew; Alessandro Spinuso; Gábor Terstyánszky; Péter Kacsuk (WORKS@SC, 2014)

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)

Interoperability Oriented Architecture: The Approach of EPOS for Solid Earth e-Infrastructures. - Daniele Bailo; Keith G. Jeffery; Alessandro Spinuso; Giuseppe Fiameni (e-Science, 2015)

dispel4py: An Agile Framework for Data-Intensive eScience. - Rosa Filgueira; Amrey Krause; Malcolm P. Atkinson 001; Iraklis A. Klampanos; Alessandro Spinuso; Susana Sánchez-Expósito (e-Science, 2015)

Mapping Solid Earth Data and Research Infrastructures to CERIF. - Daniele Bailo; Damian Ulbricht; Martin L. Nayembil; Luca Trani; Alessandro Spinuso; Keith G. Jeffery (CRIS, 2016)

Active provenance for data intensive research. - Alessandro Spinuso (2018)

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)

Ease Access to Climate Simulations for Researchers: IS-ENES Climate4Impact. - Christian Pagé; Wim Som de Cerff; Maarten Plieger; Alessandro Spinuso; Xavier Pivan (eScience, 2019)

Enabling Transparent Access to Heterogeneous Architectures for IS-ENES Climate4Impact using the DARE Platform. - Christian Pagé; Wim Som de Cerff; Maarten Plieger; Alessandro Spinuso; Xavier Pivan (eScience, 2019)

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

DARE Platform: a Developer-Friendly and Self-Optimising Workflows-as-a-Service Framework for e-Science on the Cloud. - Iraklis A. Klampanos; Chrysoula Themeli; Alessandro Spinuso; Rosa Filgueira; Malcolm P. Atkinson 001; André Gemünd; Vangelis Karkaletsis (J. Open Source Softw., 2020)

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

SWIRRL. Managing Provenance-aware and Reproducible Workspaces. - Alessandro Spinuso; Mats Veldhuizen; Daniele Bailo; Valerio Vinciarelli; Tor Langeland (Data Intell., 2022)

Canonical Workflows to Make Data FAIR. - Peter Wittenburg; Alex R. Hardisty; Yann Le Franc; Amirpasha Mozaffari; Limor Peer; Nikolay A. Skvortsov; Zhiming Zhao; Alessandro Spinuso (Data Intell., 2022)

Editors' Note: Special Issue on Canonical Workflow Frameworks for Research. - Peter Wittenburg; Alex R. Hardisty; Amirpasha Mozzafari; Limor Peer; Nikolay A. Skvortsov; Alessandro Spinuso; Zhiming Zhao (Data Intell., 2022)