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==Modify Existing Fields==__NOEDITSECTION__
Using the Data Inventory Manager, information managers can customise the values of existing enumeration lists to reflect local programme needs. Information managers can add new values to the enumeration lists and deactivate existing values.
[[Image:AdminGuide_ModifyingDataElements.png|center|500px|''Modifying Data Fields'']]
''Modifying Data Fields''
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While adding and deactivating new values is an effective and important capability within {{IMSMANG}}, information managers should approach changing the text of existing values carefully. Because many values are used across different data fields, for example, the values “Yes” and “No,” modifying these values can have unintended consequences.
==Create New Data Fields==__NOEDITSECTION__
Information managers can create CDFs for those data fields not predefined in {{IMSMANG}}. {{IMSMANG}} does not limit the number of CDFs that can be created for each item; however, it is recommended that information managers use CDFs judiciously sensibly because the collection and management creation of unnecessary data many CDFs is a substantial contributor to poor system performance and staff productivity issues in many programmes.
{{HowTo's
|[[Data Categories]]
|[[Add a Poly Property|Add a Poly Property]]
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When determining new data fields to add to {{IMSMANG}}, it is important to carefully consider the types of data to be collected and the format of the data. Using the correct data type for each field is critical to preserving the ability to search, calculate, sort and report information easily. The table below identifies the data types available in {{IMSMANG}}. <center>{| class="wikitable"|-! Data Type !! Uses !! Search |-| '''Date/Time''' || Storage of dates, times or dates and times. Examples include Date of Accident and Data Entry Date. || Is between, Is in the last|-| '''Country Structure''' || Storage of country structure information. || Is In, Is Not|-| '''Multiple Select''' || Storage of structured data where values must be confined to certain pre-defined choices. Ideal for structuring data for searching, reporting and translating. Examples include Contamination Type and Drainage Features. Selection is displayed as checkboxes. || Is In, Is Not|-| '''Number''' || Storage of all numeric data used for calculations. Examples include Number of Teams and Total Audience Number. || Equals, Not Equal, Is Greater Than/Is Less Than, Is Null, Is Not Null, Is Between|-| '''Organisation''' || Storage of organisation information. || Is, Is Not, Parent Is|-| '''Place''' || Storage of place information. || Is, Is Not|-| '''Single Select''' || Storage of structured data where values must be confined to certain pre-defined choices. Ideal for structuring data for searching, reporting and translating. Examples include Type of Activity and Temperature. Selection is displayed as radio buttons. || Is In, Is Not |-| '''Text''' || Storage of unstructured, textual data. Text data can be as small as a few characters or as long as several paragraphs. Text fields are good for storing data that cannot be stored in other formats, such as comments or narrative descriptions. || Is, Is Not, Contains, Does Not Contain|}</center>
===Dates, Text and Numbers===__NOEDITSECTION__
