SciLake tackles the fragmentation, diversity, and disorganisation of scientific knowledge, which hinders discovery and the extraction of valuable insights needed for informed decision-making in research.
How? By offering an environment to assist scientists transform domain knowledge into standardised and interoperable Scientific Knowledge Graphs (SKGs) and enable the creation and use of value-added services built upon them.
Domain experts often lack the specialised technical expertise required to perform this work independently. On the other hand, knowledge management experts alone cannot organise the information properly without domain-specific insights.
SciLake brings together partners with technical expertise in knowledge management, and experts from four scientific disciplines for pilot activities, in the domains of neuroscience, cancer, transportation, and energy. From this teamwork, we introduce the concept of the open Scientific Lake: a set of components designed for easy data access, improved knowledge discovery, research reproducibility, and other research-related activities. Domain experts can choose and adjust components to fit their specific needs, thanks to a highly customisable environment.