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The RDF-transformed data can be stored in a triplestore [De novoNovo], such as GraphDB [GraphDB] and Blazegraph [Blazegraph]. The URL providing access to the machine-readable data in the triple store is made available in the FAIR Data Point. 

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References & Further reading

[FAIRopolyBlazegraph] FAIRopoly https://www.ejprarediseases.org/fairopoly/ 

[Generic] A Generic Workflow for the Data FAIRification Process: https://direct.mit.edu/dint/article/2/1-2/56/9988/A-Generic-Workflow-for-the-Data-FAIRification  

[Elixir] https://faircookbook.elixir-europe.org/content/recipes/introduction/fairification-process.html  

[Elixir2] A framework for FAIRification processes: https://faircookbook.elixir-europe.org/content/recipes/introduction/metadata-fair.html  

[GOFAIR] https://www.go-fair.org/fair-principles/f2-data-described-rich-metadata/ 

[RDMkit] https://rdmkit.elixir-europe.org/machine_actionability.html 

[blazegraph.com/  

[De Novo] https://ojrd.biomedcentral.com/articles/10.1186/s13023-021-02004-y   

[FDP] https://direct.mit.edu/dint/article/5/1/184/113181/The-FAIR-Data-Point-Interfaces-and-Tooling  

[FDP2] https://fairdatapoint.readthedocs.io/_/downloads/en/latest/pdf/  

[GraphDBGeneric] httphttps://graphdbdirect.ontotext.com/  [Blazegraph] https://blazegraph.com/  mit.edu/dint/article/2/1-2/56/9988/A-Generic-Workflow-for-the-Data-FAIRification

[GOFAIR] https://www.go-fair.org/fair-principles/f2-data-described-rich-metadata/ 

[GraphDB] http://graphdb.ontotext.com/   

Authors / Contributors 

Experts who contributed to this step and whom you can contact for further information