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Alessandro Spinuso
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dispel4py: An agile framework for data-intensive escience
R Filgueira, A Krause, M Atkinson, I Klampanos, A Spinuso, ...
2015 IEEE 11th International Conference on e-Science, 454-464, 2015
262015
VERCE delivers a productive e-Science environment for seismology research
M Atkinson, M Carpené, E Casarotti, S Claus, R Filgueira, A Frank, ...
2015 IEEE 11th International Conference on e-Science, 224-236, 2015
192015
Implementation of FAIR principles in the IPCC: the WGI AR6 Atlas repository
M Iturbide, J Fernández, JM Gutiérrez, A Pirani, D Huard, A Al Khourdajie, ...
Scientific data 9 (1), 629, 2022
162022
Workflows in a dashboard: a new generation of usability
S Gesing, M Atkinson, R Filgueira, I Taylor, A Jones, V Stankovski, ...
2014 9th Workshop on Workflows in Support of Large-Scale Science, 82-93, 2014
162014
Interoperability oriented architecture: the approach of EPOS for solid Earth e-infrastructures
D Bailo, KG Jeffery, A Spinuso, G Fiameni
2015 IEEE 11th International Conference on e-Science, 529-534, 2015
132015
Provenance for seismological processing pipelines in a distributed streaming workflow
A Spinuso, J Cheney, M Atkinson
Proceedings of the Joint EDBT/ICDT 2013 Workshops, 307-312, 2013
122013
Data integration and FAIR data management in Solid Earth Science
D Bailo, K Jeffery, K Atakan, L Trani, R Paciello, V Vinciarelli, J Michalek, ...
Annals of Geophysics, 2022
112022
DARE: A reflective platform designed to enable agile data-driven research on the cloud
I Klampanos, A Davvetas, A Gemünd, M Atkinson, A Koukourikos, ...
2019 15th International Conference on eScience (eScience), 578-585, 2019
112019
Active Provenance in Data-intensive Research
A Spinuso, A Mihajlovski, R Filgueira, M Atkinson
EGU General Assembly Conference Abstracts, 19076, 2017
102017
Active provenance for Data-Intensive workflows: engaging users and developers
A Spinuso, M Atkinson, F Magnoni
2019 15th International Conference on eScience (eScience), 560-569, 2019
92019
Mapping solid earth data and research infrastructures to CERIF
D Bailo, D Ulbricht, ML Nayembil, L Trani, A Spinuso, KG Jeffery
Procedia Computer Science 106, 112-121, 2017
92017
SWIRRL. Managing provenance-aware and reproducible workspaces
A Spinuso, M Veldhuizen, D Bailo, V Vinciarelli, T Langeland
Data Intelligence 4 (2), 243-258, 2022
82022
DARE Platform\: a Developer-Friendly and Self-Optimising Workflows-as-a-Service Framework for e-Science on the Cloud
IA Klampanos, C Themeli, A Spinuso, R Filgueira, M Atkinson, A Gemünd, ...
Journal of Open Source Software 5 (54), 2664, 2020
72020
Comprehensible control for researchers and developers facing data challenges
M Atkinson, R Filgueira, I Klampanos, A Koukourikos, A Krause, ...
2019 15th International Conference on eScience (eScience), 311-320, 2019
72019
Ws-pgrade/guse in European Projects
T Kiss, P Kacsuk, R Lovas, Á Balaskó, A Spinuso, M Atkinson, ...
Science Gateways for Distributed Computing Infrastructures: Development …, 2014
72014
Towards addressing cpu-intensive seismological applications in europe
M Carpené, IA Klampanos, SH Leong, E Casarotti, P Danecek, G Ferini, ...
Supercomputing: 28th International Supercomputing Conference, ISC 2013 …, 2013
62013
Visualisation methods for large provenance collections in data-intensive collaborative platforms
A Spinuso, R Fligueira, M Atkinson, A Gemuend
EGU General Assembly Conference Abstracts, EPSC2016-14793, 2016
52016
Dispel4py: An open-source python library for data-intensive seismology
R Filgueira, A Krause, A Spinuso, I Klampanos, P Danecek, M Atkinson
EGU General Assembly Conference Abstracts, 6790, 2015
42015
Canonical workflows to make data FAIR
P Wittenburg, A Hardisty, Y Le Franc, A Mozaffari, L Peer, NA Skvortsov, ...
Data Intelligence 4 (2), 286-305, 2022
32022
DARE to perform seismological workflows
F Magnoni, E Casarotti, P Artale Harris, M Lindner, A Rietbrock, ...
AGU Fall Meeting Abstracts 2019, IN13C-0726, 2019
32019
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Artikelen 1–20