- Comprehensive Data Support: Robust storage for diverse formats, including simulation inputs, outputs, and both pre- and post-processed datasets.
- FAIR Principles Alignment: Infrastructure designed for Findability, Accessibility, Interoperability, and Reusability to ensure data can be easily integrated and reused.
- Interoperable Ecosystem: Seamless integration with external geospatial research platforms and workflows via flexible API access.
Key Value: Promoting scientific innovation and collaboration by enabling researchers to combine and analyze large volumes of data from multiple sources efficiently.
Practical example
Researchers generating massive numerical simulation results require a structured environment for permanent storage and sharing.
This service facilitates, among other activities:
- Permanent Preservation: Guaranteeing long-term security for structured sets of results generated from complex geoscience simulations.
- FAIR Metadata Tagging: Providing specialized support for tagging data to ensure it meets rigorous scientific standards for searchability and access.
- Controlled Sharing: Enabling secure, on-demand data retrieval and sharing based on specific scientific needs and collaborative requirements.
Case Study: The service supports a geoscience research team in moving from fragmented local storage to the SDL, utilizing IT4LIA specialist support to implement automated metadata tagging and API-based retrieval for their global project partners.
Download white paper
If you are considering the use of a Data Lake for simulations, AI, or Digital Twins but are unsure where to start download the white paper “Data Lake: the back room of Artificial Intelligence”.
