Meteorological Factors and Population Health in the South of Russia

#### Conclusions

Correlations between meteorological factors such as temperature, atmospheric pressure and daily ground level ozone concentrations play the most significant role for the functional parameters and are associated with a higher rate of lifethreatening conditions, such as cardiovascular or respiratory emergencies, in populations in the south of Russia.

### **CS4OD: Reproducible Research For Everyone**

**Anna Ferrari1 , Ines Pinto Pereira Da Cruz1 , Nihal Ezgi Yuceturk, Ivan Knezevic1 , Pedro Ferreira1 , Alexandros Ioannidis1 , Tomáš Roun1 , Diamantis Patsidis3 , Jose Benito Gonzalez Lopez1 , Alberto Di Meglio1 , Tim Smith1 , and Claudio Buongiorno Sottoriva2**

<sup>1</sup> Cern, Meyrin, Switzerland,

2University of Bocconi, Milan, Italy;

3Democritus University of Thrace, Komotiní, Greece

Over the last decades, data availability and technology advancements have shown enormous potential in

creating innovation and enhancing progress on a global scale. However, many frictions decelerate global progress and prevent prompt and reliable responses to complex phenomena and crises. These are:


CERN Science for Open Data (CS4OD) is a CERN project exploring and developing innovative and effective ways to tackle challenges 1-3. Among others, many efforts have been made in defining and implementing guidelines for analysis reproducibility (point 3). CS4OD is, indeed, developing a platform that guides users with very different backgrounds to organize data, code files, and set up existing or custom environments supporting reproducible analysis. The platform is built on top of REANA and Zenodo, two open-source services developed at CERN. REANA empowers users to set up environments, define and parametrize analysis workflows, and easily run an analysis with multiple docker containers. Zenodo is a multi-content repository that provides persistent storage with associated DOI. A pilot study related to excess mortality during the COVID-19 crisis demonstrated the feasibility of the platform and opened new possibilities for deploying high-quality, reliable, and reproducible research outputs.

Anna Ferrari 1, Ines Pinto Pereira Da Cruz1, Nihal Ezgi Yuceturk, Ivan Knezevic1, Pedro Ferreira1, Alexandros Ioannidis1, Tomáš Roun1, Diamantis Patsidis3, Jose Benito Gonzalez Lopez1, Alberto Di Meglio1, Tim Smith1, and Claudio Buongiorno Sottoriva2

1 Cern, Meyrin, Switzerland,

<sup>2</sup> University of Bocconi, Milan, Italy;

<sup>3</sup> Democritus University of Thrace, Komotiní, Greece

What is Reproducible Research? Can you reproduce your findings? Have you tried to re-run your research after publishing? Do you have the data, software or tools available to recreate your research?

Reproducibility is being able to run the same experiment with the same data and obtain similar results. The reproducibility of scientific research is fundamental for scientific advancement and it is ensured by documenting all the processes of how the research has been conducted [6].

#### Challenges Actions Outcomes


• Create a stable place to store code and data.

• Integrate REANA - a way to bring the code and data together in a reliable/repeatable way - with Zenodo.

• Aggregate all resources, store and share them and collaboratively work on a project - CS4OD platform [5].

#### References


