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26 Publications visible to you, out of a total of 26

Abstract (Expand)

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 criticismsicisms were made. The previous graph was: - Verbose and hard for a human to read or navigate - Had unresolvable URIs as root data entities - Contained many duplicate entries - Contained sparse metadata from only a single source Work has successfully been undertaken to address all of these points. The graph now uses partially resolvable, more human readable, URIs for root data entities. Steps have been added to the generation software to add metadata from additional sources (enrichment) and to remove duplicate entries (consolidation). Several areas of the codebase have been refactored and improved, to help ensure repeatability and longevity. The new knowledge graph still has areas that could be improved. Partially resolvable URIs should be migrated to fully resolvable alternatives. Further enrichment processes should be added which affords greater de-duplication.

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

Abstract (Expand)

Computational workflows describe the complex multi-step methods that are used for data collection, data preparation, analytics, predictive modelling, and simulation that lead to new data products. They can inherently contribute to the FAIR data principles: by processing data according to established metadata; by creating metadata themselves during the processing of data; and by tracking and recording data provenance. These properties aid data quality assessment and contribute to secondary data usage. Moreover, workflows are digital objects in their own right. This paper argues that FAIR principles for workflows need to address their specific nature in terms of their composition of executable software steps, their provenance, and their development.

Authors: Carole Goble, Sarah Cohen-Boulakia, Stian Soiland-Reyes, Daniel Garijo, Yolanda Gil, Michael R. Crusoe, Kristian Peters, Daniel Schober

Date Published: 2020

Publication Type: Journal

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Description This deliverable provides the final project summary of EuroScienceGateway (ESG), a Horizon Europe and EOSC initiative (Grant Agreement 101057388, Sept 2022–Aug 2025) coordinated byed by Albert-Ludwigs-Universität Freiburg. It summarizes ESG’s main achievements, impacts, FAIR data management, sustainability and exploitation plans, and dissemination outcomes. Technically, ESG delivered a production-grade, federated research gateway built on Galaxy and an expanded Pulsar Network, enabling scalable, data-intensive analysis across heterogeneous European compute and storage. Key innovations include Bring-Your-Own-Compute/Storage (BYOC/BYOS), a smart meta-scheduler (TPV Broker), Galaxy Job Radar dashboard, and streamlined deployment/admin tooling—altogether improving throughput, data locality, and operational transparency. The project operationalized FAIR principles for computational workflows by packaging and publishing Workflow RO-Crates with persistent identifiers via WorkflowHub, advancing EOSC interoperability. Federated AAI (e.g., EGI Check-in, LS Login, IAM4NFDI) supports secure access across institutions. ESG contributed >20 workflows, >40 tutorials, and >10 peer-reviewed publications, and collaborated with 20+ initiatives. Six national Galaxy instances and 10+ Pulsar endpoints were launched; the European Galaxy instance achieved ISO/IEC 27001 certification. Community impact was substantial: registered users on the European Galaxy portal grew from ~30,000 to >130,000, with monthly actives doubling to >6,000, underpinned by >20 online/onsite workshops and large-scale training through the Galaxy Training Network and Training-Infrastructure-as-a-Service (TIaaS). Sustainability is ensured through distributed governance, national/institutional hosting of Galaxy/Pulsar services, continued curation of workflows and training materials, and alignment with EOSC service models and funding pathways. The report closes with exploitation routes for beneficiaries and stakeholders and a record of dissemination and outreach activities across the European research ecosystem.

Authors: Armin Dadras, Oana Kaiser, Björn Grüning, Sebastian Luna-Valero, Enol Fernandez-del-Castillo

Date Published: 20th Aug 2025

Publication Type: Tech report

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)

Scientific data analyses often combine several computational tools in automated pipelines, or workflows. Thousands of such workflows have been used in the life sciences, though their composition hasmposition has remained a cumbersome manual process due to a lack of standards for annotation, assembly, and implementation. Recent technological advances have returned the long-standing vision of automated workflow composition into focus. This article summarizes a recent Lorentz Center workshop dedicated to automated composition of workflows in the life sciences. We survey previous initiatives to automate the composition process, and discuss the current state of the art and future perspectives. We start by drawing the “big picture” of the scientific workflow development life cycle, before surveying and discussing current methods, technologies and practices for semantic domain modelling, automation in workflow development, and workflow assessment. Finally, we derive a roadmap of individual and community-based actions to work toward the vision of automated workflow development in the forthcoming years. A central outcome of the workshop is a general description of the workflow life cycle in six stages: 1) scientific question or hypothesis, 2) conceptual workflow, 3) abstract workflow, 4) concrete workflow, 5) production workflow, and 6) scientific results. The transitions between stages are facilitated by diverse tools and methods, usually incorporating domain knowledge in some form. Formal semantic domain modelling is hard and often a bottleneck for the application of semantic technologies. However, life science communities have made considerable progress here in recent years and are continuously improving, renewing interest in the application of semantic technologies for workflow exploration, composition and instantiation. Combined with systematic benchmarking with reference data and large-scale deployment of production-stage workflows, such technologies enable a more systematic process of workflow development than we know today. We believe that this can lead to more robust, reusable, and sustainable workflows in the future.

Authors: Anna-Lena Lamprecht, Magnus Palmblad, Jon Ison, Veit Schwämmle, Mohammad Sadnan Al Manir, Ilkay Altintas, Christopher J. O. Baker, Ammar Ben Hadj Amor, Salvador Capella-Gutierrez, Paulos Charonyktakis, Michael R. Crusoe, Yolanda Gil, Carole Goble, Timothy J. Griffin, Paul Groth, Hans Ienasescu, Pratik Jagtap, Matúš Kalaš, Vedran Kasalica, Alireza Khanteymoori, Tobias Kuhn, Hailiang Mei, Hervé Ménager, Steffen Möller, Robin A. Richardson, Vincent Robert, Stian Soiland-Reyes, Robert Stevens, Szoke Szaniszlo, Suzan Verberne, Aswin Verhoeven, Katherine Wolstencroft

Date Published: 2021

Publication Type: Journal

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

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