| Data element |
Definition |
CREATED_DATE
Indexed - no
Format - date
May be null? yes |
The date on which the application user record was created. |
DISABLED_DATE
Indexed - no
Format - date
May be null? yes |
The date on which the application user record was disabled. |
EXTRACT_DATE
Indexed - no
Format - date
May be null? yes |
The date on which the application user record was extracted to the Data Warehouse. |
LAST_EDITED
Indexed - no
Format - date
May be null? yes |
The date on which the application user record was last updated. |
USER_HOME_ORG
Indexed - yes
Format - char(4)
May be null? yes |
The 4-digit number that represents the organization that owns the employee's record and is responsible for its maintenance. An organization is a subdivision of the University created for management purposes. An Organization belongs to only one School or Responsibility Center, and its organization code is unique. (The code set is from the University's General Ledger, and has been in use since July 1, 1996.)
Examples: 0104 (CHEMISTRY); 0001 (GEN UNIVERSITY)
Values:
Refer to the DWADMIN.ORG_CODES table for values.
|
USER_ID
Indexed - yes
Format - Number (12)
May be null? no |
The unique system identifier for the application user. |
USER_NAME
Indexed - yes
Format - varchar2(100)
May be null? yes |
The application user’s full name. |
USER_PENNKEY
Indexed - yes
Format - varchar2(30)
May be null? yes |
The application user’s PennKey. |
USER_PENN_ID
Indexed - yes
Format - char(8)
May be null? yes |
The 8-digit identification number assigned to an individual by Penn Community system. For example: 77777777. No two persons have the same Penn ID. Note that Penn IDs created in and assigned by Penn Community begin at 10000000. Within the Data Warehouse, the numeric range from 00000000-00999999 is used for individuals who do not yet have a Penn ID in Penn Community, to allow for reliable joins between tables using the PENN_ID column. When a Penn ID appears for the individual appear in Penn Community, it will replace the assigned value throughout the Data Warehouse. |
