Contents I. Introduction
Wider adoption of Open Science requires a modern research infrastructure and scientists to pay more attention to consistent data management in order to support effective data sharing and communication between researchers [1]. Introducing FAIR data principles and ongoing development and implementation of supporting standards, frameworks, and tools in recent years, significantly improved the possibility for sharing research data and research results, targeting research reproducibility, sharing data, or other publishable research results via the popular Open Access or self-archiving services OpenAIRE [2] and Zenodo [3]. The European Open Science Cloud (EOSC) [4] provides the federated data sharing infrastructure. Recent developments such as RO Crate [5,6] have the potential of supporting complex research objects and their evolution. This is especially important for experimental research reproducibility that requires documenting a large volume of information related to the experiment setup, workflow, input data, measurement data [7].
