Every laboratory that uses informatics software is using a database to store and access the data produced by their laboratory. But what laboratory managers might not be aware of is that the underlying type of database can impact how effectively a laboratory can innovate and scale.
This whitepaper explores how non-relational databases, in particular those built on an RDF knowledge graph, can better support increasingly complex laboratory workflows and studies. We demonstrate how more flexibility and easy access to shareable data can provide a strong foundation for an information system that can scale and evolve over time whilst freeing up laboratory staff to focus on the work that is truly meaningful to them.
