Decentralized research data infrastructure and knowledge graphs

Slides of the lecture for VU Amsterdam about building decentralized research data infrastructure based on the principles of the Semantic Web and Linked Data. We are building Generic Common Research and Data Infrastructure which should be distributed and robust enough to be scaled up and reused for any challenging tasks like cancer research etc, where networked services built from Open Source components and data processed and published in FAIR way with keeping the provenance information is the part of our Data Lake. Data evaluation and credibility is the top priority, we’re providing tools for the expert community for the verification of our datasets, the transparency of data and services guarantees the reproducibility of all experiments and get bring new insights in the multidisciplinary research. This infrastructure should enforce collaboration between people, bring together general public, researchers, citizen scientists, and should be distributed free of charge with (meta)data protected and licenced.