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# How to model metadata ?
[GMA](../what/gma.md) uses [rest.li](https://rest.li), which is LinkedIn's open source REST framework.
All metadata in GMA needs to be modelled using [Pegasus schema (PDSC)](https://linkedin.github.io/rest.li/DATA-Data-Schema-and-Templates) which is the data schema for [rest.li](https://rest.li).
[GMA](../what/gma.md) uses [rest.li](https://rest.li), which is LinkedIn's open source REST framework. All metadata in GMA needs to be modelled using [Pegasus schema (PDSC)](https://linkedin.github.io/rest.li/DATA-Data-Schema-and-Templates) which is the data schema for [rest.li](https://rest.li).
Conceptually we’re modelling metadata as a hybrid graph of nodes ([entities](../what/entity.md)) and edges ([relationships](../what/relationship.md)), with additional documents ([metadata aspects](../what/aspect.md)) attached to each node.
Below is an an example graph consisting of 3 types of entities (User, Group, Dataset), 3 types of relationships (OwnedBy, HasAdmin, HasMember), and 3 types of metadata aspects (Ownership, Profile, and Membership).
Conceptually we’re modelling metadata as a hybrid graph of nodes ([entities](../what/entity.md)) and edges ([relationships](../what/relationship.md)), with additional documents ([metadata aspects](../what/aspect.md)) attached to each node. You can also think of it as a modified [Entity-Relationship Model](https://en.wikipedia.org/wiki/Entity%E2%80%93relationship_model).
Here is an an example metadata graph consisting of 3 types of entities (User, Group, Dataset), 3 types of relationships (OwnedBy, HasAdmin, HasMember), and 3 types of metadata aspects (Ownership, Profile, and Membership).
![metadata-modeling](../imgs/metadata-modeling.png)