User Guide
Mapper is a generic tool to map different datasets to a pre-established standard. It can be used to implement data interoperability solutions. The Mapper allows mapping columns and column values from files that contain data to be harmonised. Each file to be mapped contains data from one entity of the standard.
Find more in this example.
The application has three main functions:
- Map attributes of entities
- Map attribute values
- Save the map
The standard is expressed mainly with two files. One for the entities and attributes per entity and another for the attribute values. You can find an example here.
In order to map your datasets you need to know the semantic behind the standard. You can download the standard by clicking the button "Download Standard" as in the figure below:
Each entity in the standard corresponds to a data file that contains data to be mapped. In the standard file, the fact entity is the first entity in the columns "Entity". In the web interface of the Mapper, the fact entity is the first entity in the entity list:
The fact entity or central entity is the first entity in the dropdown list containing the entities. For instance, the figure below show a standard for biobank data based in MIABIS standard. The fact entity is Sample.
The rest of entities in the standard are the rest following the fact entity in the Standard fi