EOSC Beyond D10.1 - Report on EOSC Integration Suite and Execution Framework Requirements and Gap Analysis v.1

EOSC Beyond advances the state of the art of the European Open Science Cloud by improving its Core functionalities as well as extending with new ones. Among the new ones, the Integration Suite and the Execution Framework are discussed in this document. This document reports on the identified gaps and requirements on the Integration Suite and Execution Framework commissioned by the project during its early phase.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-22
DOI
https://doi.org/10.5281/zenodo.14204589
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
0.00
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article

EOSC Beyond D10.1 - Report on EOSC Integration Suite and Execution Framework Requirements and Gap Analysis v.1

Zenodo (CERN European Organization for Nuclear Research)
Scientific Computing and Data Management
article

EOSC Beyond D10.1 - Report on EOSC Integration Suite and Execution Framework Requirements and Gap Analysis v.1

article en

Abstract

EOSC Beyond advances the state of the art of the European Open Science Cloud by improving its Core functionalities as well as extending with new ones. Among the new ones, the Integration Suite and the Execution Framework are discussed in this document. This document reports on the identified gaps and requirements on the Integration Suite and Execution Framework commissioned by the project during its early phase.

Zenodo (CERN European Organization for Nuclear Research)
Forschungszentrum Jülich (DE), EGI (NL), Education and Research Network (IN), Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen (DE), Universidad del Alba (CL), Kentucky imaging Technologies (United States) (US), Centrum Cyfrowe Projekt (PL), CESNET, zájmové sdružení právnických osob (CZ), National Infrastructures for Research and Technology - GRNET S.A (GR)
Industry, innovation and infrastructure
Openalex Percentile: Top 55%
Scientific Computing and Data Management
DOIOpen Access PDFOpenAlex
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