Graph Data Representation – the FAIRestof Them All
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Graph Data Representation – the FAIRest of Them All Dr Peter Tormay Eva Kelty DS1
Transcript of Graph Data Representation – the FAIRestof Them All
Graph Data Representation –the FAIRest of Them All
Dr Peter TormayEva Kelty
DS1
A Changing Paradigm
2020-09-30 PHUSE EU Connect 2020
A Changing Paradigm
2020-09-30 PHUSE EU Connect 2020
Reuse of Data
2020-09-30 PHUSE EU Connect 2020
FAIR Data Principles
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Concepts and Data Objects
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From Relational to Graph Data Representation
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Relational Database
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Patient
Study
Adverse Event
Property Graph
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Resource Description Framework
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Property Graph
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Holons – Data and Metadata
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Holons
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Holons in the real world
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Ontological data model – intuitive modelling
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Ontology vs Instances
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Patient 1
Patient 2
Patient 3
Graph Database Query
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Reflect your Data – Accessing Data Easily
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WithoutReflection
WithReflection
Reflection Point
Reflection Point
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Summary – Graph Data Representation and FAIR Data Principles
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Metadata
Findable
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Property graph databases are organised in data objects (nodes) and relationships (edges) that are uniquely identifiable
Accessible
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Graph databases have an internal structure underpinned by an ontological data model providing a formal framework that is de facto self describing
Interoperable
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Rich metadata can be stored together with data using terminologies and controlled vocabularies
Reusable
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Realistic representation of data and its context allows effective reuse
