APPLICATIONS OF TECHNOLOGY:
- Moderately sized organizations or companies
- Multi-lab research collaborations
- Low cost
- Ease of adding new data types
- Models different variations of the same conceptual data types
- Adheres to all four of the FAIR principles (see below)
Researchers at Berkeley Lab have designed and prototyped a Contextual Ontology-based Repository Analysis Library (CORAL). Companies and organizations currently face specific complications while managing and analyzing data. These complications have been organized into in the FAIR principles: that all data objects be Findable, Accessible, Interoperable and Reusable for both machines and people. Adherence to these principles is necessary for data management. Current data management frameworks have inconveniences due to minor changes in experimental design resulting in a slightly different data structure. Additionally, adding new data types is expensive. Average sized organizations utilize data from a variety of sources, resulting in heterogeneous, structured datasets that are difficult to analyze with the current data models available.
The CORAL data model and associated tools provides adherence to all four of the FAIR principles. The model allows for affordable costs while incorporating the ability to add new and diverse data types as well as modeling distinct data structures. Specifically, the model allows users to build and describe the context for complex data types on the fly, by allowing them to build such types from a set of pre-defined atomic data types.
DEVELOPMENT STAGE: Proven principle
STATUS: Patent pending. Available for licensing or collaborative research.