SLICES-PP Deliverable D7.2. SLICES Interoperability Framework and Integration with EOSC

SLICES aims to align with the EOSC interoperability framework, facilitating seamless integration. This alignment ensures that data and services from SLICES can effectively interact with the broader EOSC environment, promoting data sharing and reuse across borders and disciplines. Efforts are being made to integrate SLICES with EOSC, leveraging the EOSC interoperability framework to enable automated and reproducible experimental research. This integration will enhance the ability of researchers to share and reuse experimental data efficiently.

The proposed Data Management Infrastructure (DMI) architecture is designed to support Experimental Research Reproducibility as a Service (ERRaaS). This architecture includes processes for data collection, archiving, and sharing to ensure that experiments can be replicated accurately by other researchers. ERRaaS involves several key processes: gathering data from various experimental sources, storing data in a structured and secure manner, and ensuring that data can be easily accessed and shared among researchers.

Ongoing work focuses on developing Metadata Registry Services (MRS) to enhance experimental data sharing. This involves creating standardized metadata models to facilitate interoperability and integration with EOSC. By implementing MRS, SLICES can ensure that metadata is consistently documented and accessible, which is essential for the reproducibility and reusability of experimental data.

To support these goals, RO-Crate is being utilized for data archiving and sharing within SLICES. RO-Crate is a method for packaging research data with rich metadata, ensuring that data is well-documented and easily accessible. Additionally, Data Version Control (DVC) is being implemented to track data lineage and support version control, enhancing the reproducibility of experiments. DVC ensures that researchers can trace the history of data and understand the changes made over time.