Data structuring is a crucial process in connecting (integrating) data in source systems to the DataHub infrastructure. Data structuring consists of creating data element mappings between two distinct data models and is used as a first step for a wide variety of data integration tasks, including:
An ontology is a way to represent your knowledge on a specific topic that also allows you to share information using a common language. Think of it as a set of standard categories for data so our digital tools know what type of data you stored. To connect and compare data sets, they need researchers to use the same categories. In our federated data catalogue DISQOVER you can see the result of working with ontologies. If you want to read more about ontologies, we suggest reading some chapters of Semantic Web for the Working Ontologist.
This service is highly specific of nature, as every source system is unique. Therefore, we cannot offer a standard service and rely on one-on-one consultancy.