| Autor: |
Liao Xiaofeng, Niehues Anna, Brandt Martin, Ederveen Tom, Huang Junda, Kulkarni Purva, de Visser Casper, Doornbos Cenna, van der Velde Joeri, van Vliet Michael, 't Hoen Peter-Bram |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| DOI: |
10.5281/zenodo.7188997 |
| Popis: |
The FAIR (Findable, Accessible, Interoperable and Reusable) principleswere proposed to guide researchers to describe and share their data to increase data reuse and research reproducibility. Creating FAIR data can be challenging for multi-omics researchers due to a lack of tooling and a diverse landscape of (meta)data standards differing across -omics types. In X-omics, we develop a FAIR Data Cube– a set of tools and services that help researchers in different stages of the Research Data Life Cycle including the Creation and publish of multi-omics and metadata, Querying multi-omics studies, Analyzing access-protected data |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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