
CERN Science for
Open Data

Data Management
Use CERN technologies, like Jupyter Hub based SWAN platform, software, tools and infrastructure to analyze, manage save your data
Data Repository
Use Zenodo, a general-purpose open-access repository, that allows researchers to deposit their papers, data sets, software and any other research related digital artifacts
Data Reproducibility
Use REANA, CERN developed reusable and reproducible research data analysis platform that helps researchers to structure their input data, code analysis, containerised environments and computational workflows
Problems we tackle:
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Big data Challange
Huge and high dimensionality data size
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Data Heterogenity
in terms of sources, type, acquisition and storage
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Data Analysis Diversity
Data Analysis differences in terms of assumptions, models and methods
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Information vs Knowledge
Data overload and excess of results
Data size
overcome barriers related to data governance and storage defining common principles
Data heterogeneity
overcome barriers of data access defining a global coordination of open data from multi-domain fields
Data analysis
overcome barriers of analysis diversity defining common pipelines and approaches
Data overload
overcome barriers of excess of information by complying with results reproducibility and multi-disciplinary expertise's exchange

Our tools and services

Zenodo

SWAN

EOS

CERN Box

REANA