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Search for computational workflow synergies in reproducible research data analyses in particle physics and life sciences
We describe the REANA reusable and reproducible research data analysis platform that originated in the domain of particle physics. We integrated support for running Common Workflow Language (CWL) workflows that originated in the domain of life sciences. This integration allowed us to study the appli...
| Autores principales: | , , , , , , |
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| Lenguaje: | eng |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1109/eScience.2018.00123 http://cds.cern.ch/record/2652800 |
| _version_ | 1780960993298350080 |
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| author | Šimko, Tibor Cranmer, Kyle Crusoe, Michael R Heinrich, Lukas Khodak, Anton Kousidis, Dinos Rodrı́guez, Diego |
| author_facet | Šimko, Tibor Cranmer, Kyle Crusoe, Michael R Heinrich, Lukas Khodak, Anton Kousidis, Dinos Rodrı́guez, Diego |
| author_sort | Šimko, Tibor |
| collection | CERN |
| description | We describe the REANA reusable and reproducible research data analysis platform that originated in the domain of particle physics. We integrated support for running Common Workflow Language (CWL) workflows that originated in the domain of life sciences. This integration allowed us to study the applicability of CWL to particle physics analyses and look for synergies in computational practices in the two communities. |
| id | cern-2652800 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2018 |
| record_format | invenio |
| spelling | cern-26528002022-02-01T16:03:55Zdoi:10.1109/eScience.2018.00123http://cds.cern.ch/record/2652800engŠimko, TiborCranmer, KyleCrusoe, Michael RHeinrich, LukasKhodak, AntonKousidis, DinosRodrı́guez, DiegoSearch for computational workflow synergies in reproducible research data analyses in particle physics and life sciencesComputing and ComputersWe describe the REANA reusable and reproducible research data analysis platform that originated in the domain of particle physics. We integrated support for running Common Workflow Language (CWL) workflows that originated in the domain of life sciences. This integration allowed us to study the applicability of CWL to particle physics analyses and look for synergies in computational practices in the two communities.CERN-IT-2018-004oai:cds.cern.ch:26528002018-10-29 |
| spellingShingle | Computing and Computers Šimko, Tibor Cranmer, Kyle Crusoe, Michael R Heinrich, Lukas Khodak, Anton Kousidis, Dinos Rodrı́guez, Diego Search for computational workflow synergies in reproducible research data analyses in particle physics and life sciences |
| title | Search for computational workflow synergies in reproducible research data analyses in particle physics and life sciences |
| title_full | Search for computational workflow synergies in reproducible research data analyses in particle physics and life sciences |
| title_fullStr | Search for computational workflow synergies in reproducible research data analyses in particle physics and life sciences |
| title_full_unstemmed | Search for computational workflow synergies in reproducible research data analyses in particle physics and life sciences |
| title_short | Search for computational workflow synergies in reproducible research data analyses in particle physics and life sciences |
| title_sort | search for computational workflow synergies in reproducible research data analyses in particle physics and life sciences |
| topic | Computing and Computers |
| url | https://dx.doi.org/10.1109/eScience.2018.00123 http://cds.cern.ch/record/2652800 |
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