Research Integrity Statement in the CERN Open Science Policy
CERN is committed to ensuring the integrity of research. In order to facilitate the reuse of its research products, CERN provides infrastructures to accommodate the scale and complexity of its research outputs. Reuse and reproducibility are facilitated by practising comprehensive analysis preservation to capture relevant research objects, such as research data releases with supporting metadata, auxiliary data, linked software, reproducible analysis workflows, documentation, etc.
REANA: Reproducible Research Data Analysis Platform
REANA (REusable ANAlyses) is a cloud-based platform that enables researchers to describe, run, preserve, and reuse their computational analyses in a fully reproducible manner. By combining containerization technology with workflow languages, REANA captures not just the code and data of an analysis, but the complete software environment and execution logic. Researchers can use REANA to document their analysis workflows declaratively, scale computations across thousands of computing cores, and share their work with colleagues through role-based access controls.
A powerful demonstration of REANA's capabilities came from the ATLAS Collaboration's 2023 pMSSM supersymmetry analysis, which evaluated tens of thousands of theoretical models across a 19-dimensional parameter space. By deploying RECAST analysis preservation workflows on REANA, the team was able to scale their detector-level analyses to over 1,000 cores. This approach enabled ATLAS physicists to systematically test thousands of theoretical models that would otherwise have been computationally prohibitive, thereby showcasing the practical impact of reproducible analysis frameworks for advancing high-energy physics research
If you want to know more about REANA and how to use it, have a look at its documentation or this training course by the HEP Software Foundation.
Data Management Plans (DMPs)
Data Management Plans have become a requirement for projects, grants, stipends etc around the world, i.e. in CERN's member states. With that many in the CERN community are facing the challenge to regularly write or update a Data Management Plan (DMP). In a data driven environment like CERN, such documentation can also be considered essential to ensure the longevity of project and research results.
CERN provides templates for DMPs as well as support and guidance for anyone with questions or concerns regarding their DMPs. You can find the CERN Data Management Plan template here.
If you seek support please contact dmp-support@cern.ch.
Key contacts at CERN
- Clemens Lange (CMS Experiment)