| 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 | 29 | 2022 |
| 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 | 27 | 2015 |
| 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 | 22 | 2015 |
| 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 | 15 | 2014 |
| 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 | 13 | 2022 |
| 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 | 13 | 2015 |
| 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 | 13 | 2013 |
| 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 | 11 | 2019 |
| Active Provenance in Data-intensive Research A Spinuso, A Mihajlovski, R Filgueira, M Atkinson EGU General Assembly Conference Abstracts, 19076, 2017 | 11 | 2017 |
| 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 | 10 | 2017 |
| 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 | 9 | 2019 |
| SWIRRL. Managing provenance-aware and reproducible workspaces A Spinuso, M Veldhuizen, D Bailo, V Vinciarelli, T Langeland Data Intelligence 4 (2), 243-258, 2022 | 8 | 2022 |
| 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 | 8 | 2020 |
| 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 | 7 | 2019 |
| 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 | 7 | 2014 |
| The implementation of FAIR data principles in the IPCC AR6 assessment process, Zenodo A Pirani, A Alegria, AA Khourdajie, W Gunawan, JM Gutiérrez, K Holsman, ... | 6 | 2022 |
| 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 | 6 | 2013 |
| 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 | 5 | 2016 |
| 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 | 5 | 2015 |
| 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 | 3 | 2022 |
