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Best Practices for amount of domain lists

Jen_Zumbado-Hannibal

Hello GIS colleagues,
I have a favor to ask: Can someone please help me make a good argument for why repeated domain lists don't follow #GISBestPractices in a #geodatabase?

It's one of those things that I know why, but I'm finding it hard to explain to someone who doesn't understand the concept of data integrity and eliminating redundancy.

I've been trying to find #ESRIBestPractice articles that say to limit the amount of attribute domain lists within a geodatabase. Does anyone have a good reference?

Or, is there a good reason to repeat or branch out an attribute domain list and perhaps I'm not aware of it?

I just know that at the admin level, this type of "practice" can get very out of hand and sloppy.

Thanks.

Example:

Domain Name	Coded Values
Staff_MainOffice	Larry
	Sally
	Lisa
Staff_FieldOffice	Larry
	Sally
Staff_RegionalOffice	Hector
	Lisa

INSTEAD OF USING....

Domain Name	Coded Values
Staff	Larry
	Lisa
	Sally
	Hector

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BranislavBlagojevic

I 'collide' with the same problem, but I don't find an answer in everyday practice. It simply imposes the "necessity of contradiction". In the theory of sets as the basis of databases, redundancy and data integrity do not go hand in hand, but it is obvious that industry practice ignores the theory and introduces contradictions as the basis of its own development and survival. How long...???

Jen_Zumbado-Hannibal

The explanation still doesn't answer my question about the example. By now, we all should know the correct uses for attribute domains. Yet, what if by wanting to maintain data integrity the administrator is building redundancy into the database? What then? How to resolve the issue?

UML design applies normalization to refine the database to its basic elements to increase efficiency, avoid dependencies, and regulate redundancy.

BranislavBlagojevic

Thanks for the good explanation!

Jen_Zumbado-Hannibal

I didn't know where to actually post the question. So, I figured this was the best location.

Okay, so let's dissect this a bit more.

Are domain values for geodatabases in SQL the same as attribute domain values (checklist or drop downs)? My answer to this will be yes.

However, if we use the traditional normalization rules for databases (e.g., 1NF, 2NF, and 3NF), wouldn't a GIS professional want to decrease redundancy in all its forms including attribute domains (domains)?

The importance of maintaining data integrity and data redundancy in this example is somewhat contradictory. Because, as we want to minimize the human error element, we would increase the redundancy in the database by having similar attribute domains (domains). It may not be noticeable for the editor in this case, yet it increases the complexity for the database administrator to keep up with similar attribute domains (domains) within the database.

Therefore, my question still remains: what are some best practices for troubleshooting this problem? Does the industry mention a standard to use? If so, can you reference some books, whitepapers, or internet references?

Thanks.

rzufelt

True (pick lists or valid data), OP mentioned both domains, and attribute domains. Since this was posted in ArcGIS Pro Questions (not SQL Server questions), I responded about the Attribute Domains (which show as domains in SQL Server).

OP wanted a good reason for breaking them out, figured using them for what they were intended for would be a good reason.

"Attribute domains are rules that describe the available values of a field type. They are used to constrain the values allowed in any particular attribute for a table or feature class. They provide a method for enforcing data integrity by limiting what can be placed on a field to a valid list or range of choices. "

BranislavBlagojevic

If so, then we are not talking about domains, but only about 'pick lists'.

rzufelt

What if I only want the options to pick values for staff in the Regional Office, or just the Field Office to help enforce data integrity? Domains in ESRI work as a "pick list" of valid values.

Seems like a good reason.

BranislavBlagojevic

Good question...! ESRI answers!

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