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FAIR Data Based on Extensible Unifying Data Model Development
| Author(s): | Stupnikov S., Kalinichenko L. |
| Published: | Selected Papers of the XX International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2018). CEUR Workshop Proceedings, Vol. 2277. P.9-13. 2018. |
| Abstract: | |
| Nowadays data sources within data infrastructures are quite heterogeneous, they are
represented using very different data models. Data models vary from relational one to NoSQL zoo of data
models. A prerequisite for (meta)data interoperability, integration and reuse within some data infrastructure
is unification of source data models and their data manipulation languages. A unifying data model (called
canonical) has to be chosen for the data infrastructure. Every source data model has to be mapped into the
canonical model, mapping should be formalized and verified. The paper overviews data unification
techniques have been developed during recent years and discusses application of these techniques for data
integration within FAIR data infrastructures. |
| Download: |
[ http://ceur-ws.org/Vol-2277/paper04.pdf ]
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