Cesar Gonzalez

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About Cesar Gonzalez:

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SEEK ID: https://workflowhub.eu/people/661

Location: Spain

ORCID: https://orcid.org/0000-0002-6977-4413

Joined: 25th Jan 2024

Expertise: Computer Science, High Performance Computing, Grid Computing

Tools: Molecular Biology, Python, OmpSs, OpenCL

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eFlows4HPC

eFlows4HPC project aims at providing workflow software stack and an additional set of services to enable the integration of HPC simulations and modelling with big data analytics and machine learning in scientific and industrial applications. The project is also developing the HPC Workflows as a Service (HPCWaaS) methodology that aims at providing tools to simplify the development, deployment, execution and reuse of workflows. The project demonstrates its advances through three application Pillars ...

Teams: Cluster Emergent del Cervell Humà, Workflows and Distributed Computing, Pillar I: Manufacturing, Pillar II: Climate, Pillar III: Urgent computing for natural hazards, eFlows4HPC general, COMPSs Tutorials

Web page: https://eflows4hpc.eu

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COMPSs Tutorials

Team created to publish applications during COMPSs Tutorials, and share them among participants.

Space: eFlows4HPC

Public web page: https://www.bsc.es/education/training/bsc-training/bsc-training-course-programming-distributed-computing-platforms-compss/

Organisms: Not specified

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Universitat Rovira i Virgili

Country: Spain

City: Not specified

Web page: https://www.urv.cat/

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Scaling Scientific Workflows in Europe: Architecture and Deployment of the Galaxy-Pulsar Computational Network

EuroScienceGateway

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Description This preprint outlines the development and deployment of the European Pulsar Network (EPN)—a federated, scalable architecture enabling distributed job execution across national and European …

Authors: Marco Antonio Tangaro, Stefano Nicotri, Björn Grüning, Sanjay Kumar Srikakulam, Armin Dadras, Oana Kaiser, Mira Kuntz, Anthony Bretaudeau, Paul De Geest, Sebastian Luna-Valero, María Chavero Díez, José María Fernández González, Salvador Capella-Gutierrez, Josep Lluís Gelpí, Jan Astalos, Boris Jurič, Miroslav Ruda, Łukasz Opioła, Hakan Bayındır, SILVIA GIOIOSA, Gaetanomaria De Sanctis, Federico Zambelli

Date Published: 7th Aug 2025

Publication Type: Unpublished

DOI: 10.5281/zenodo.16761933

Citation: https://doi.org/10.5281/zenodo.16761933

Created: 3rd Oct 2025 at 16:50, Last updated: 3rd Oct 2025 at 16:52

EuroScienceGateway MS6: Integrated EuroScienceGateway knowledge graph

EuroScienceGateway

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Description The Workflowhub Knowledge Graph has been improved and its generation made more robust. When this work was last reported, a complete knowledge graph had been generated but several criticisms …

Authors: Eli Chadwick, Oliver Woolland, Volodymyr Savchenko, Finn Bacall, Alexander Hambley, José María Fernández González, Armin Dadras, Stian Soiland-Reyes

Date Published: 1st Aug 2025

Publication Type: Tech report

DOI: 10.5281/zenodo.16992674

Citation:

Created: 3rd Oct 2025 at 15:26, Last updated: 3rd Oct 2025 at 15:30

An Ecosystem of Services for FAIR Computational Workflows

FAIR Computational Workflows, EuroScienceGateway

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Computational workflows, regardless of their portability or maturity, represent major investments of both effort and expertise. They are first class, publishable research objects in their own right. … They are key to sharing methodological know-how for reuse, reproducibility, and transparency. Consequently, the application of the FAIR principles to workflows [goble_2019, wilkinson_2025] is inevitable to enable them to be Findable, Accessible, Interoperable, and Reusable. Making workflows FAIR would reduce duplication of effort, assist in the reuse of best practice approaches and community-supported standards, and ensure that workflows as digital objects can support reproducible and robust science. FAIR workflows also encourage interdisciplinary collaboration, enabling workflows developed in one field to be repurposed and adapted for use in other research domains. FAIR workflows draw from both FAIR data [wilkinson_2016] and software [barker_2022] principles. Workflows propose explicit method abstractions and tight bindings to data, hence making many of the data principles apply. Meanwhile, as executable pipelines with a strong emphasis on code composition and data flow between steps, the software principles apply, too. As workflows are chiefly concerned with the processing and creation of data, they also have an important role to play in ensuring and supporting data FAIRification. The FAIR Principles for software and data mandate the use of persistent identifiers (PID) and machine actionable metadata associated with workflows to enable findability, reusability, interoperability and reusability. To implement the principles requires a PID and metadata framework with appropriate programmatic protocols, an accompanying ecosystem of services, tools, guidelines, policies, and best practices, as well the buy-in of existing workflow systems such that they adapt in order to adopt. The European EOSC-Life Workflow Collaboratory is an example of such a digital infrastructure for the Biosciences: it includes a metadata standards framework for describing workflows (i.e. RO-Crate, Bioschemas, and CWL), that is managed and used by dedicated new FAIR workflow services and programmatic APIs for interoperability and metadata access such as those proposed by the Global Alliance for Genomics and Health (GA4GH) [rehm_2021]. The WorkflowHub registry supports workflow Findability and Accessibility, while workflow testing services like LifeMonitor support long-term Reusability, Usability and Reproducibility. Existing workflow management systems/languages and packaging solutions are incorporated and adapted to promote portability, composability, interoperability, provenance collection and reusability, and to use and support these FAIR services. In this chapter, we will introduce the FAIR principles for workflows, the connections between FAIR workflows, and the FAIR ecosystems in which they live, using the EOSC-Life Collaboratory as a concrete example. We will also introduce other community efforts that are easing the ways that workflows are shared and reused by others, and we will discuss how the variations in different workflow settings impact their FAIR perspective.

Authors: Sean R. Wilkinson, Johan Gustafsson, Finn Bacall, Khalid Belhajjame, Salvador Capella, José María Fernández González, Jacob Fosso Tande, Luiz Gadelha, Daniel Garijo, Patricia Grubel, Björn Grüning, Farah Zaib Khan, Sehrish Kanwal, Simone Leo, Stuart Owen, Luca Pireddu, Line Pouchard, Laura Rodriguez-Navas, Beatriz Serrano-Solano, Stian Soiland-Reyes, Baiba Vilne, Alan Williams, Merridee Ann Wouters, Frederik Coppens, Carole Goble

Date Published: 21st May 2025

Publication Type: InBook

DOI: 10.48550/arXiv.2505.15988

Citation:

Created: 3rd Oct 2025 at 17:43, Last updated: 3rd Oct 2025 at 17:45

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