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Provenance registration is becoming more and more important, as we increase the size and number of experiments performed using computers. In particular, when provenance is recorded in HPC environments, it must be efficient and scalable. In this paper, we propose a provenance registration method for scientific workflows, efficient enough to run in supercomputers (thus, it could run in other environments with more relaxed restrictions, such as distributed ones). It also must be scalable in order ...
Creator: Raül Sirvent
Submitter: Raül Sirvent
In the age of high-throughput data, computational workflows have made data processing tasks flexible, manageable, and automated. To administer different computational activities in a workflow, different workflow management systems (WMS) are used that necessitate a sophisticated level of standardisation. Standardisation and reproducibility can be achieved by using standard formats for specifying workflows, such as Common Workflow Language (CWL), and provenance gathering with the standard W3C PROV ...
Creator: Mahnoor Zulfiqar
Submitter: Mahnoor Zulfiqar
Presented at Swedish eResearch Centre meeting, 13 may 2022
Creator: Carole Goble
Submitter: Carole Goble
Keynote JOBIM 2021 (French Bioinformatics Conference)
FAIR Computational Workflows https://jobim2021.sciencesconf.org/ 8 July 2021
Computational workflows capture precise descriptions of the steps and data dependencies needed to carry out computational data pipelines, analysis and simulations in many areas of Science, including the Life Sciences. The use of computational workflows to manage these multi-step computational processes has accelerated in the past few years driven by the need for ...
Creator: Carole Goble
Submitter: Carole Goble
EOSC-Life FAIR hackathon 2021 Session 3: Workflow & Tools FAIRification
Creators: Carole Goble, Stuart Owen, Simone Leo, Finn Bacall, Stian Soiland-Reyes, Douglas Lowe
Submitter: Carole Goble
So, you want to build a pan-national digital space for bioscience data and methods? That works with a bunch of pre-existing data repositories and processing platforms? So you can share FAIR workflows and move them between services? Package them up with data and other stuff (or just package up data for that matter)? How? WorkflowHub (https://workflowhub.eu) and RO-Crate Research Objects (https://www.researchobject.org/ro-crate) that’s how! A step towards FAIR Digital Objects gets a workout. Keynote ...
Creator: Carole Goble
Submitter: Carole Goble
Keynote presented at WORKS 2021 https://works-workshop.org/
16th Workshop on Workflows in Support of Large-Scale Science November 15, 2021 Held in conjunction with SC21: The International Conference for High Performance Computing, Networking, Storage and Analysis
Creator: Carole Goble
Submitter: Carole Goble
Keynote at German Conference on Bioinformatics 2021 https://gcb2021.de/ FAIR Computational Workflows Computational workflows capture precise descriptions of the steps and data dependencies needed to carry out computational data pipelines, analysis and simulations in many areas of Science, including the Life Sciences. The use of computational workflows to manage these multi-step computational processes has accelerated in the past few years driven by the need for scalable data processing, the ...
Creator: Carole Goble
Submitter: Carole Goble
invited presentation at https://researchsoft.github.io/FAIReScience/, FAIReScience 2021 online workshop virtually co-located with the 17th IEEE International Conference on eScience (eScience 2021)
20th Sept 2021
Creator: Carole Goble
Submitter: Carole Goble