Akbarinia Reza, Botella Christophe, Joly Alexis, Masseglia Florent, Mattoso Marta, Ogasawara Eduardo, De Oliveira Daniel, Pacitti Esther, Porto Fabio, Pradal Christophe, Shasha Dennis, Valduriez Patrick.
2023. Life Science Workflow Services (LifeSWS): motivations and architecture.
In : Transactions on large-scale data-and knowledge-centered systems LV. Abdelkader Hameurlain (ed.), Min Tjoa A. (ed.)
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Résumé : Data driven science requires manipulating large datasets coming from various data sources through complex workflows based on a variety of models and languages. With the increasing number of big data sources and models developed by different groups, it is hard to relate models and data and use them in unanticipated ways for specific data analysis. Current solutions are typically ad-hoc, specialized for particular data, models and workflow systems. In this paper, we focus on data driven life science and propose an open service-based architecture, Life Science Workflow Services (LifeSWS), which provides data analysis workflow services for life sciences. We illustrate our motivations and rationale for the architecture with real use cases from life science.
Mots-clés libres : Data driven science, Life sciences, Workflows, Model life cycle, Service-based architecture, OpenAlea
Agences de financement européennes : European Commission
Agences de financement hors UE : Centre de Coopération Internationale en Recherche Agronomique pour le Développement
Programme de financement européen : H2020
Projets sur financement : (EU) Stepping-up IPM decision support for crop protection
Auteurs et affiliations
- Akbarinia Reza, LIRMM (FRA)
- Botella Christophe, INRIA (FRA)
- Joly Alexis, INRIA (FRA)
- Masseglia Florent, LIRMM (FRA)
- Mattoso Marta, UFRJ (BRA)
- Ogasawara Eduardo, CEFET (BRA)
- De Oliveira Daniel, UFF (BRA)
- Pacitti Esther, Université de Montpellier (FRA)
- Porto Fabio, LNCC (BRA)
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Pradal Christophe, CIRAD-BIOS-UMR AGAP (FRA)
ORCID: 0000-0002-2555-761X
- Shasha Dennis, University of New-York (USA)
- Valduriez Patrick, INRIA (FRA)
Autres liens de la publication
Source : Cirad-Agritrop (https://agritrop.cirad.fr/606176/)
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