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:

Big data Challange

Huge and high dimensionality data size
Data Heterogenity

in terms of sources, type, acquisition and storage
Data Analysis Diversity

Data Analysis differences in terms of assumptions, models and methods
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