Publications

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19 Publications visible to you, out of a total of 19

Abstract (Expand)

This report provides an in-depth analysis of the sustainability of the Galaxy platform, a globally recognized open-source system for data analysis, workflow management, and scientific collaboration. Developed under the EuroScienceGateway project and supported by the European Union’s Horizon Europe program (Grant Agreement No. 101057388), the report evaluates Galaxy through the lenses of desirability, feasibility, and viability using a robust analytical framework derived from design thinking and open-source community health metrics (CHAOSS). The report presents empirical data on Galaxy's rapid growth in user adoption, job execution volume, infrastructure robustness, contributor engagement, community governance, and scientific impact. It highlights Galaxy’s ability to democratize access to advanced computational tools, support reproducible science, and maintain long-term sustainability through a distributed community and institutional support. This document is a valuable resource for funders, policymakers, and stakeholders in the open science and digital research infrastructure community, illustrating why Galaxy represents a low-risk, high-reward investment in the future of data-driven research.

Author: Smitesh Jain

Date Published: 17th Jul 2025

Publication Type: Tech report

Abstract (Expand)

Description Effective resource scheduling is critical in high-performance (HPC) and high-throughput computing (HTC) environments, where traditional scheduling systems struggle with resource contention,tion, data locality, and fault tolerance. Meta-scheduling, which abstracts multiple schedulers for unified job allocation, addresses these challenges. Galaxy, a widely used platform for data-intensive computational analysis, employs the \textit{Total Perspective Vortex (TPV)} system for resource scheduling. With over 550,000 users, Galaxy aims to optimize scheduling efficiency in large-scale environments. While TPV offers flexibility, its decision-making can be enhanced by incorporating real-time resource availability and job status. This paper introduces the TPV Broker, a meta-scheduling framework that integrates real-time resource data to enable dynamic, data-aware scheduling. TPV Broker enhances scalability, resource utilization, and scheduling efficiency in Galaxy, offering potential for further improvements in distributed computing environments.

Authors: Abdulrahman Azab, Paul De Geest, Sanjay Kumar Srikakulam, Tomáš Vondra, Mira Kuntz, Björn Grüning

Date Published: 1st Feb 2025

Publication Type: Unpublished

Abstract (Expand)

Research Object Crate (RO-Crate) is a lightweight method to package research outputs along with their metadata. Signposting provides a simple yet powerful approach to navigate scholarly objects on the Web. Combining these technologies form a "webby" implementation of the FAIR Digital Object principles which is suitable for retrofitting to existing data infrastructures or even for ad-hoc research objects using regular Web hosting platforms. Here we give an update of recent community development and adoption of RO-Crate and Signposting. It is notable that programmatic access and more detailed profiles have received high attention, as well as several FDO implementations that use RO-Crate.

Authors: Stian Soiland-Reyes, Peter Sefton, Simone Leo, Leyla Jael Castro, Claus Weiland, Herbert Van de Sompel

Date Published: 18th Mar 2025

Publication Type: Journal

Abstract (Expand)

Description Documentation of the cross-domain adoption of the EuroScienceGateway (ESG) project, showcasing how Galaxy was used and extended to meet the data analysis needs of researchers acrossers across biodiversity, climate science, astrophysics, materials science, and biomedical domains. This record outlines ESG’s impact on the onboarding of diverse scientific communities, enabling scalable, reproducible, and FAIR-compliant workflows. Through targeted outreach, infrastructure integration, and community-driven tool development, the project successfully onboarded new user groups and demonstrated Galaxy’s adaptability across multiple scientific verticals. Over 800 tools were integrated into Galaxy during the past 3 years, and dozens of reusable workflows were published to support sensitive data handling, high-throughput image analysis, simulation environments, and federated compute. The deliverable documents use cases, domain-specific onboarding models, training efforts, and collaborative success stories, including the development of the Galaxy Codex and strategic alignment with EOSC, ELIXIR, and NFDI initiatives. Project: EuroScienceGateway was funded by the European Union’s Horizon Europe programme (HORIZON-INFRA-2021-EOSC-01) under grant agreement number 101057388. Document: D5.2 Publication of the usage of EuroScienceGateway by multiple communities Work Package: Work Package 5. Community engagement, adoption and onboarding Tasks: Task 5.1 Biodiversity and Climate Science Task 5.2 Materials Science Task 5.3 Astrophysics Task 5.4 Mentoring and onboarding new communities Lead Beneficiary: University of Oslo (UiO) Contributing Beneficiaries: UiO, ALU-FR, CNRS, UNIFI, UKRI, EPFL, UP, BSC

Authors: Armin Dadras, Denys Savchenko, Andrii Neronov, Volodymyr Savchenko, Nikolay Vazov, Jean Iaquinta, Eva Alloza, María Chavero Díez, Anthony Bretaudeau

Date Published: 18th Aug 2025

Publication Type: Tech report

Abstract (Expand)

Description Documentation of the design, deployment, and operationalization of the European Pulsar Network, developed within the EuroScienceGateway (ESG) project. This deliverable outlines how thew the Pulsar Network enables scalable, federated, and interoperable remote job execution across European Galaxy servers and compute infrastructures. This record showcases the technical architecture, automation strategies, and monitoring solutions behind the distributed execution framework, supporting reproducible workflows and efficient resource sharing. The network connects 13 Pulsar endpoints across 10 countries, integrated with six national Galaxy servers and the European Galaxy server. Deployments span public clouds, institutional HPCs, and EOSC resources, unified under a secure, open-source infrastructure stack using Terraform, Ansible, RabbitMQ, CVMFS, and SABER. The deliverable demonstrates how ESG addressed interoperability and scalability challenges through open infrastructure tooling, cross-institutional coordination, and continuous monitoring. It provides a replicable model for distributed compute resource integration and highlights Galaxy's extensibility in federated scientific computing. Project: EuroScienceGateway, funded by the European Union’s Horizon Europe programme (HORIZON-INFRA-2021-EOSC-01) under grant agreement number 101057388. Document: D3.2 Publication on the Pulsar Network, integrated in workflow management systems Work Package: Work Package 3. Pulsar Network: Distributed heterogeneuos compute Tasks: - Task 3.1 Develop and maintain an Open Infrastructure-based deployment model for Pulsar endpoints - Task 3.2 Add GA4GH Task Execution Service (TES) API to Pulsar - Task 3.3 Build a European-wide network of Pulsar sites - Task 3.4 Add TES support to WfExS (Workflow Execution Service) - Task 3.5 Developing and maintaining national or domain-driven Galaxy servers Lead Beneficiary: CNR Contributing Beneficiaries: CNR, INFN, ALU-FR, CNRS, CESNET, UiO, UB, EPFL, AGH/AGH-UST, BSC, VIB, IISAS, TUBITAK, UNIMAN

Authors: Armin Dadras, Marco Antonio Tangaro

Date Published: 1st Aug 2025

Publication Type: Tech report

Abstract (Expand)

Project: EuroScienceGateway was funded by the European Union programme Horizon Europe (HORIZON-INFRA-2021-EOSC-01-04) under grant agreement number 101057388 and by UK Research and Innovation (UKRI)KRI) under the UK government’s Horizon Europe funding guarantee grant number 10038963. Document: D4.2 Publication on the smart job scheduler implementation Work Package: Work Package 4. Building blocks for a sustainable operating model. Task: - Task 4.3 Implement a smart job-scheduling system across Europe Lead Beneficiary: EGI Contributing Beneficiary: ALU-FR, CESNET, EGI, UiO, and VIB Executive Summary Galaxy is currently using the Total Perspective Vortex (TPV) to schedule millions of jobs for hundred thousand users globally. While TPV has proven to be a robust meta-scheduling tool for Galaxy in the last years, there are areas of improvement that have been addressed in the EuroScienceGateway project: - Gathering live usage metrics from across the distributed computing endpoints connected to Galaxy in order to distribute the load across all sites. - Adding latitude and longitude attributes to data stores and computing endpoints to allocate jobs as close as possible to the location of the data. - Visualizing job distribution across sites with an intuitive dashboard. As a result the EuroScienceGateway project has developed two new tools: - TPV Broker for the efficient meta-scheduling of jobs taking into account real-time usage metrics and data-locality information - Galaxy Job Radar: a web dashboard to easily visualize the allocation of jobs across all sites The EuroScienceGateway project has significantly improved the meta-scheduling of jobs for Galaxy, resulting in less waiting times for users to see their job completed and improving resource utilization across all sites.

Authors: Abdulrahman Azab, Sanjay Kumar Srikakulam, Paul De Geest, Tomáš Vondrák, Björn Grüning, Mira Kuntz, Enol Fernandez-del-Castillo, Sebastian Luna-Valero

Date Published: 27th Feb 2025

Publication Type: Tech report

Abstract (Expand)

Recording the provenance of scientific computation results is key to the support of traceability, reproducibility and quality assessment of data products. Several data models have been explored to address this need, providing representations of workflow plans and their executions as well as means of packaging the resulting information for archiving and sharing. However, existing approaches tend to lack interoperable adoption across workflow management systems. In this work we present Workflow Run RO-Crate, an extension of RO-Crate (Research Object Crate) and Schema.org to capture the provenance of the execution of computational workflows at different levels of granularity and bundle together all their associated objects (inputs, outputs, code, etc.). The model is supported by a diverse, open community that runs regular meetings, discussing development, maintenance and adoption aspects. Workflow Run RO-Crate is already implemented by several workflow management systems, allowing interoperable comparisons between workflow runs from heterogeneous systems. We describe the model, its alignment to standards such as W3C PROV, and its implementation in six workflow systems. Finally, we illustrate the application of Workflow Run RO-Crate in two use cases of machine learning in the digital image analysis domain.

Authors: Simone Leo, Michael R. Crusoe, Laura Rodríguez-Navas, Raül Sirvent, Alexander Kanitz, Paul De Geest, Rudolf Wittner, Luca Pireddu, Daniel Garijo, José M. Fernández, Iacopo Colonnelli, Matej Gallo, Tazro Ohta, Hirotaka Suetake, Salvador Capella-Gutierrez, Renske de Wit, Bruno P. Kinoshita, Stian Soiland-Reyes

Date Published: 10th Sep 2024

Publication Type: Journal

Abstract (Expand)

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 Europeanopean Galaxy instances. Built within the Horizon Europe EuroScienceGateway project, the EPN leverages the Galaxy workflow system and the Pulsar job execution service to offload computational workloads to remote endpoints seamlessly and securely. The work introduces an Open Infrastructure (OI) framework that automates provisioning, deployment, and monitoring using Terraform, Ansible, and Jenkins. The pre-print highlights deployments across thirteen Pulsar nodes and six national Galaxy portals, illustrating how the EPN supports reproducible, FAIR-aligned data analysis while abstracting infrastructure complexity for researchers.

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

Abstract (Expand)

The rising popularity of computational workflows is driven by the need for repetitive and scalable data processing, sharing of processing know-how, and transparent methods. As both combined records of analysis and descriptions of processing steps, workflows should be reproducible, reusable, adaptable, and available. Workflow sharing presents opportunities to reduce unnecessary reinvention, promote reuse, increase access to best practice analyses for non-experts, and increase productivity. In reality, workflows are scattered and difficult to find, in part due to the diversity of available workflow engines and ecosystems, and because workflow sharing is not yet part of research practice. WorkflowHub provides a unified registry for all computational workflows that links to community repositories, and supports both the workflow lifecycle and making workflows findable, accessible, interoperable, and reusable (FAIR). By interoperating with diverse platforms, services, and external registries, WorkflowHub adds value by supporting workflow sharing, explicitly assigning credit, enhancing FAIRness, and promoting workflows as scholarly artefacts. The registry has a global reach, with hundreds of research organisations involved, and more than 800 workflows registered.

Authors: Ove Johan Ragnar Gustafsson, Sean R. Wilkinson, Finn Bacall, Stian Soiland-Reyes, Simone Leo, Luca Pireddu, Stuart Owen, Nick Juty, José M. Fernández, Tom Brown, Hervé Ménager, Björn Grüning, Salvador Capella-Gutierrez, Frederik Coppens, Carole Goble

Date Published: 1st Dec 2025

Publication Type: Journal

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