There are several field names that are common accross datasets:
name - name of the object/person/entity
title - also name of the object/person/organization, any entity
description - text field with description of the object
tags - list of comma-separated words or array of words linked to object entity
notes - text comments for an object entity
comments - also text comments for an object entity
But fields also could have certain types based on it's contents. It could be country name or organization name with field name name. So should we add these common field names as data types and to create basic datatypes and to inherit data types like country name, organization name and e.t.c. from these data types?
There are several field names that are common accross datasets:
name
- name of the object/person/entitytitle
- also name of the object/person/organization, any entitydescription
- text field with description of the objecttags
- list of comma-separated words or array of words linked to object entitynotes
- text comments for an object entitycomments
- also text comments for an object entityBut fields also could have certain types based on it's contents. It could be country name or organization name with field name
name
. So should we add these common field names as data types and to create basic datatypes and to inherit data types like country name, organization name and e.t.c. from these data types?