Linked FAIR data
Increase the value of data by making it Findable, Accessible, Interoperable and Reusable using the fifteen FAIR principles.
Our multidisciplinary team of consultants, data and knowledge engineers, and semantic modelling experts enables your organisation to turn data into FAIR assets.
Increase the value of data by making it Findable, Accessible, Interoperable and Reusable using the fifteen FAIR principles.
Enable asset discovery by implementing standardized metadata conventions and processes to enable data reuse across the entire organization.
Having all data in a structured, queryable model stimulates internal and external collaboration and speeds up research and development processes.
Having a semantic representation of the data ensures that all researchers and analysts understand the context of the data.
Assessment of data sets or systems in which we systematically compare them against the fifteen FAIR principles and define an/the overall FAIRness score and provide advice on how to improve the level of FAIRness.
Executive report with advice on how to build a FAIR data management plan including key governance elements.
Define metadata elements that fit your data by using public ontologies where applicable. These elements are stored in a structured, machine-readable format.
Data curation to increase interoperability and usability of data and build knowledge graphs.
Bring Your Own Data (BYOD) workshops and datathons foster a FAIR culture among data owners and data consumers. These training sessions can be combined with a gap analysis report that highlights existing ‘non-FAIR’ items and processes.