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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2408.16402 |
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| _version_ | 1866910581903065088 |
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| author | Lalli, Giada Collier, James Moreau, Yves Raimondi, Daniele |
| author_facet | Lalli, Giada Collier, James Moreau, Yves Raimondi, Daniele |
| contents | JINet is a web browser-based platform intended to democratise access to advanced clinical and genomic data analysis software. It hosts numerous data analysis applications that are run in the safety of each User's web browser, without the data ever leaving their machine. JINet promotes collaboration, standardisation and reproducibility by sharing scripts rather than data and creating a self-sustaining community around it in which Users and data analysis tools developers interact thanks to JINets interoperability primitives. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_16402 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | JINet: easy and secure private data analysis for everyone Lalli, Giada Collier, James Moreau, Yves Raimondi, Daniele Computers and Society JINet is a web browser-based platform intended to democratise access to advanced clinical and genomic data analysis software. It hosts numerous data analysis applications that are run in the safety of each User's web browser, without the data ever leaving their machine. JINet promotes collaboration, standardisation and reproducibility by sharing scripts rather than data and creating a self-sustaining community around it in which Users and data analysis tools developers interact thanks to JINets interoperability primitives. |
| title | JINet: easy and secure private data analysis for everyone |
| topic | Computers and Society |
| url | https://arxiv.org/abs/2408.16402 |