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Part of defining and documenting an information model includes defining the useful information attributes for each {{IMSMANG}} item. {{IMSMANG}} comes with more than 1,000 [[Information Classification | data elements fields already defined]] as well as the capability to create additional custom-defined fields (CDFs). This makes it important to critically assess which data elements fields are useful to a programme for decision-making, analysis and reporting and to focus on those while ignoring data elements fields that don’t provide additional value. Limiting information to only that which is useful to the programme provides long-term benefits including reducing the data collection and data entry burden and improving system performance. And, while many data elements fields may be collected for each {{IMSMANG}} item, some elements fields may be more important for analysis than others. For example, whether a victim has been injured or killed may be more important for analysis than the victim’s nationality.
Each of the items can be divided into categories or types so users can collect information for each category/type. For example, Land are normally divided into different categories/types and each category of land are managed differently. Using categories/types, information managers can:
{{Document|<b>Document the following decisions about items:</b>
* data elements to be collected and managed in {{IMSMANG}}* data elements fields that are not predefined in {{IMSMANG}} and should be created as CDFs* particularly important, or key, data elements for the programme
* relevant categories/types for each item
* status values for each item
{{Document|<b>Document the following decisions about Auxiliary data:</b>
* data elements to be collected and managed in {{IMSMANG}}* data elements fields that are not already configured in {{IMSMANG}} and can be created as CDFs
* relevant subcategories for each data type
}}
