From the course: Data Curation Foundations
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Entity-attribute-value (EAV) structure
From the course: Data Curation Foundations
Entity-attribute-value (EAV) structure
- [Narrator] Now to continue with our topic of back end curation, we are going to focus on the entity-attribute-value data structure. These three words, entity, attribute, and value, have particular meanings when thinking of a data table, like the table of imaginary data I made and put on the slide. The term entity refers to what each row of the table represents. In my example on the slide, each row of the table represents a hospital. Next, we have attribute. That refers to the columns, which are attributes or characteristics of the entity. In the example, hospid is some sort of hospital ID, and that is an attribute of each hospital listed in the table. Also, each hospital has a code, called serv. That is a code that refers to the type of hospital it is. That is another attribute. Finally, we have value. That's the actual value of any particular attribute, so on the slide you'll see in the first row the value of the…
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Contents
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Data dictionary basics5m 36s
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(Locked)
Curating study vs. production data6m 5s
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(Locked)
Entity-attribute-value (EAV) structure6m 8s
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(Locked)
Indexes5m 18s
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(Locked)
Entity-relationship diagrams (ERDs)5m 34s
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(Locked)
Main tables in a data dictionary5m 17s
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(Locked)
Picklists in a data dictionary5m 6s
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(Locked)
Leveraging picklists for crosswalks5m 36s
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(Locked)
Advanced crosswalks5m 29s
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