Ricgraph - Research in context graph: verschil tussen versies

Uit ITforResearch bij Universiteit Utrecht
 
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Ricgraph (Research in context graph) is a [https://en.wikipedia.org/wiki/Graph_theory graph] with nodes (sometimes called vertices) and edges (sometimes called links) to represent objects and their relations. It can be used to store, manipulate and read metadata of any object that has a relation to another object, as long as every object can be "represented" by at least a name and a value. In Ricgraph, one node represents one object, and an edge represents the relation between two objects. It is written in Python and uses [https://neo4j.com Neo4j] as [https://en.wikipedia.org/wiki/Graph_database graph database engine].
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== What is Ricgraph? ==
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Ricgraph, also known as Research in context graph, enables the exploration of researchers, teams, their results, collaborations, skills, projects, and the relations between these items.
  
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Metadata of an object are stored as "properties" in a node, i.e. as information associated with a node. For example, a node may store two properties, name = PET and value = cat. Another node may store name = FULL_NAME and value = John Doe. Then the edge between those two nodes means that the person with FULL_NAME John Doe has a PET which is a cat.
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Ricgraph can store many types of items into a single graph. These items can be obtained from various systems and from multiple organizations. Ricgraph facilitates reasoning about these items because it infers new relations between items, relations that are not present in any of the separate source systems. It is flexible and extensible, and can be adapted to new application areas.
  
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The philosophy of Ricgraph is that it stores metadata, not the objects the metadata refer to. To access an object, a node has a link to that object in the system it was obtained from. The objective is to get metadata from objects from a source system in a process called "harvesting". All information harvested from several source systems will be combined into one graph. Modification of metadata of an object is done in the source system the object was harvested from, and then reharvesting of that source system.
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== More information ==
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To learn more about Ricgraph, go to [https://www.ricgraph.eu www.ricgraph.eu]. You may also want to read
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Read more at [https://doi.org/10.5281/zenodo.7524314 Ricgraph - Research in context graph], Rik D.T. Janssen (2023). And go to the [https://github.com/UtrechtUniversity/ricgraph Github repository].
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the reference publication: Rik D.T. Janssen (2024). Ricgraph: A flexible and extensible graph to explore research in context from various systems. ''SoftwareX'', 26(101736). https://doi.org/10.1016/j.softx.2024.101736.
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Extensive documentation, publications, videos and source code can be found in the [https://github.com/UtrechtUniversity/ricgraph Github repository].
  
 
[[Category:FAIR Research IT]]
 
[[Category:FAIR Research IT]]
  
 
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Huidige versie van 5 jun 2024 om 08:20

What is Ricgraph?[bewerken]

Ricgraph, also known as Research in context graph, enables the exploration of researchers, teams, their results, collaborations, skills, projects, and the relations between these items.

Ricgraph can store many types of items into a single graph. These items can be obtained from various systems and from multiple organizations. Ricgraph facilitates reasoning about these items because it infers new relations between items, relations that are not present in any of the separate source systems. It is flexible and extensible, and can be adapted to new application areas.

More information[bewerken]

To learn more about Ricgraph, go to www.ricgraph.eu. You may also want to read the reference publication: Rik D.T. Janssen (2024). Ricgraph: A flexible and extensible graph to explore research in context from various systems. SoftwareX, 26(101736). https://doi.org/10.1016/j.softx.2024.101736. Extensive documentation, publications, videos and source code can be found in the Github repository.


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