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SAS Quality Knowledge Base for Contact Information 25

English Definitions

In the Quality Knowledge Base, the English definitions are shared by all English-language locales. Shared English definitions are described below.

Case Definitions
Gender Analysis Definitions
Identification Analysis Definitions
Match Definitions
Parse Definitions
Pattern Analysis Definitions
Standardization Definitions
Inherited Definitions

Case Definitions

Proper (Address)
Description	The Case definition for Proper (Address) propercases addresses.
	Input	Output
Examples	11TH FLOOR	11th Floor
Examples	po box 125	PO Box 125
Remarks

Proper (Business Title)
Description	The Case definition for Proper (Business Title) propercases business titles.
	Input	Output
Examples	ceo	CEO
Examples	SALES MANAGER	Sales Manager
Remarks

Proper (Given Name)
Description	The Case definition for Proper (Given Name) propercases given names of individuals.
Examples	Input	Output
	aj	AJ
	mckensie	McKensie
	anne-marie	Anne-Marie
Remarks

Proper (Name)
Description	The Case definition for Proper (Name) propercases names of individuals.
Examples	Input	Output
	GWENDOL GUTTERMOTH	Gwendol Guttermoth
	JOHN O'ROURKE	John O'Rourke
	ronald chung-hui mcdonald	Ronald Chung-Hui McDonald
Remarks

Proper (Organization)
Description	The Case definition for Proper (Organization) propercases organization names.
Examples	Input	Output
	DATAFLUX CORPORATION	DataFlux Corporation
	sas institute	SAS Institute
Remarks

Proper (Site)
Description	The Case definition for Proper (Site) propercases organization sites.
Examples	Input	Output
	of new zealand	of New Zealand
	uk	UK
Remarks

Upper (Legal Form)
Description	The Case definition for Upper (Legal Form) uppercases legal forms.
Examples	Input	Output
	inc	Inc
	LTD	Ltd
	sp zoo	SP ZOO
Remarks	Legal forms default to uppercasing. Some known forms are propercased.

Gender Analysis Definitions

Name
Description	The Gender Analysis definition for Name determines the gender of a name.
Possible Outputs	M F U
Examples	Input	Output
	Sandi Baker	F
	Pat Young, Jr.	M
	T. Millhouse	U
Remarks

Identification Analysis Definitions

Contact Info
Description	The Identification Analysis definition for Contact Info identifies the contact information that is represented by a string.
Possible Outputs	NAME ORGANIZATION NAME/ORGANIZATION UNKNOWN E-MAIL BLANK
Examples	Input	Output
	DataFlux Corporation	ORGANIZATION
	Tony Fisher	NAME
	Joe Smith DBA Some Company Name	NAME/ORGANIZATION
	john.smith@sas.com	E-MAIL
		BLANK
	Fisher	UNKNOWN
Remarks

Field Name
Description	The Field Name identification analysis definition identifies database column names.
Possible Outputs	NAME ORGANIZATION ADDRESS CITY STATE/PROVINCE POSTALCODE COUNTRY PHONE EMAIL DATE UNKNOWN URL GENDER MATCHCODE PERSONAL_ID ORGANIZATION_ID GENERIC_ID COUNTY MARITAL_STATUS
Examples	Input	Output
	Company Name	ORGANIZATION
	Address	ADDRESS
	Telephone	PHONE
Remarks	This definition is recommended to determine the type of data stored in a database column based on the name of the column.
Remarks	The Field Name (v23) identification analysis definition is now deprecated and will be removed in a future release of the QKB. The Field Name identification analysis definition has been replaced with a copy of the Field Name (v23) definition which takes advantage of updated processing. If you changed your jobs to use the Field Name (v23) definition it is suggested that you change them back.

Field Name (v23)
Description	The Field Name (v23) identification analysis definition identifies database column names.
Possible Outputs	NAME ORGANIZATION ADDRESS CITY STATE/PROVINCE POSTALCODE COUNTRY PHONE EMAIL DATE UNKNOWN URL GENDER MATCHCODE PERSONAL_ID ORGANIZATION_ID GENERIC_ID COUNTY MARITAL_STATUS
Examples	Input	Output
	Company Name	ORGANIZATION
	Address	ADDRESS
	Telephone	PHONE
Remarks	This definition is recommended to determine the type of data stored in a database column based on the name of the column.
Remarks	The Field Name (v23) identification analysis definition is now deprecated and will be removed in a future release of the QKB. The Field Name identification analysis definition has been replaced with a copy of the Field Name (v23) definition which takes advantage of updated processing. If you changed your jobs to use the Field Name (v23) definition it is suggested that you change them back.

Offensive
Description	The Identification Analysis definition for Offensive identifies potentially vulgar, offensive or invalid words and phrases.
Possible Outputs	OFF_ENUSA_1 OFF_ENUSA_2 OFF_ENGBR_1 OFF_ENGBR_2 OFF_FRFRA_1 OFF_FRFRA_2 INVALID, PASS
Examples	Input	Output
	ababab	INVALID
	none of your business	INVALID
	Mr. Dork	OFF_ENUSA_1
Remarks	Values in some of the libraries associated with this definition would be considered offensive by most. DataFlux in no way condones or approves of the use of this information for any reason other than that for which it was designed.

Match Definitions

Business Title
Description	The Business Title match definition generates match codes which can be used to cluster records containing business title information.
Max Length of Match Code	15 characters
Examples	Input	Cluster ID
	CEO	0
	Chief Executive Officer	0
Remarks	Note: The results listed above reflect the default match sensitivity (85).

Country
Description	The Country match definition generates match codes which can be used to cluster records containing country names.
Max Length of Match Code	15 characters
Examples	Input	Cluster ID
	United States	0
	Great Britain	1
Remarks	Note: The results listed above reflect the default match sensitivity (85).

Date (DMY)
Description	The Date (DMY) match definition generates match codes which can be used to cluster records containing dates that have the format DMY.
Max Length of Match Code	15 characters
Examples	Input	Cluster ID
	05March1969	1
	5-3-1969	1
Remarks	Note: The results listed above reflect the default match sensitivity (85).

Date (DMY) (with Combinations)
Description	The Date (DMY) (with Combinations) match definition generates match codes which can be used to cluster records containing dates, with a score for each match code, that have the format DMY.
Max Length of Match Code	15 characters
Example 1	Input	Cluster ID
Sensitivities 50 - 100 Weight 100	01/02/2013	0
Sensitivities 50 - 100 Weight 100	Feb-01-2013	0
Example 2	Input	Cluster ID
Sensitivities 50 - 100 Weight 40	Feb-01-2013	1
	01/02/2013	1
	02/01/2013	1
Remarks	A date with DMY format will match with the date with MDY format. This definition generates one or more match codes for each input string. The number of match codes generated for an input string depends on the content of the string. Each match code represents a combination of different parts of the input string; this enables two strings to be matched even when some parts of one or both of the strings differ. See the examples above for an illustration of clusters that can be produced using match codes generated by this definition. Note that a consequence of generating multiple match codes is that a record can be placed in more than one cluster by a subsequent clustering operation. Therefore, special attention should be given to the entity resolution process when using this definition. Generation of multiple match codes is achieved through the use of token-combination rules in the match definition. Each match code generated by the definition is associated with one token-combination rule. There is a weight assigned to each rule; each rule's weight is used to calculate a score that is assigned to the match code that is generated by that rule. The score for a match code is equal to the weight of the rule used to generate the match code times the sensitivity that is selected when the definition is executed. When a record is clustered, the score for the record’s match code represents the confidence with which we can assert that the record belongs in the cluster. Note that when different rules lead to identical clustering results, the scores of the match codes generated by the different rules can be aggregated using the Cluster Aggregation node in a Data Job. The Cluster Aggregation node allows several different methods for aggregating match code scores, such as minimum, maximum, or mean across instances of a record, or minimum, maximum, or mean across all records in a cluster. For information on the Cluster Aggregation node, refer to the documentation provided with the DataFlux Data Management Studio installation.

Date (MDY)
Description	The Date (MDY) match definition generates match codes which can be used to cluster records containing dates that have the format MDY.
Max Length of Match Code	15 characters
Examples	Input	Cluster ID
	8.30.1997	0
	August 30th, 1997	0
Remarks	Note: The results listed above reflect the default match sensitivity (85).

Date (MDY) (with Combinations)
Description	The Date (MDY) (with Combinations) match definition generates match codes which can be used to cluster records containing dates, with a score for each match code, that have the format MDY.
Max Length of Match Code	15 characters
Example 1	Input	Cluster ID
Sensitivities 50 - 100 Weight 100	01/02/2013	0
Sensitivities 50 - 100 Weight 100	Jan-02-2013	0
Example 2	Input	Cluster ID
Sensitivities 50 - 100 Weight 40	Jan-02-2013	1
Sensitivities 50 - 100 Weight 40	02/01/2013	1
Remarks	A date with MDY format will match with the date with DMY format. This definition generates one or more match codes for each input string. The number of match codes generated for an input string depends on the content of the string. Each match code represents a combination of different parts of the input string; this enables two strings to be matched even when some parts of one or both of the strings differ. See the examples above for an illustration of clusters that may be produced using match codes generated by this definition. Note that a consequence of generating multiple match codes is that a record can be placed in more than one cluster by a subsequent clustering operation. Therefore, special attention should be given to the entity resolution process when using this definition. Generation of multiple match codes is achieved through the use of token-combination rules in the match definition. Each match code generated by the definition is associated with one token-combination rule. There is a weight assigned to each rule; each rule's weight is used to calculate a score that is assigned to the match code that is generated by that rule. The score for a match code is equal to the weight of the rule used to generate the match code times the sensitivity that is selected when the definition is executed. When a record is clustered, the score for the record’s match code represents the confidence with which we can assert that the record belongs in the cluster. Note that when different rules lead to identical clustering results, the scores of the match codes generated by the different rules can be aggregated using the Cluster Aggregation node in a Data Job. The Cluster Aggregation node allows several different methods for aggregating match code scores, such as minimum, maximum, or mean across instances of a record, or minimum, maximum, or mean across all records in a cluster. For information on the Cluster Aggregation node, refer to the documentation provided with the DataFlux Data Management Studio installation.

Date (YMD)
Description	The Date/Time (YMD) match definition generates match codes which can be used to cluster records containing date/time information.
Max Length of Match Code	15 characters
Examples	Input	Cluster ID
	2002dec31	1
	2002.12.31	1
Remarks	Note: The results listed above reflect the default match sensitivity (85).

Date/Time (DMY)
Description	The Date/Time (DMY) match definition generates match codes which can be used to cluster records containing date/time information.
Max Length of Match Code	15 characters
Examples	Input	Cluster ID
	20 Jul 2969 02:20:32	0
	20/7/69 02:20:32	0
Remarks	Note: The results listed above reflect the default match sensitivity (85).

Date/Time (MDY)
Description	The Date/Time (MDY) match definition generates match codes which can be used to cluster records containing date/time information.
Max Length of Match Code	15 characters
Examples	Input	Cluster ID
	Nov-06-2001 2:32 PM	1
	11/6/01 2:32 PM	1
Remarks	Note: The results listed above reflect the default match sensitivity (85).

Date/Time (YMD)
Description	The Date/Time (YMD) match definition generates match codes which can be used to cluster records containing date/time information.
Max Length of Match Code	15 characters
Examples	Input	Cluster ID
	1999.10.11 22:40:00+04:00	0
	99/10/11 22:40:00+04:00	0
Remarks	Note: The results listed above reflect the default match sensitivity (85).

Field Name
Description	The Field Name match definition generates match codes which can be used to cluster records containing database field names.
Max Length of Match Code	15 characters
Examples	Input	Cluster ID
	Company Name	0
	Organization	0
	Home_Address	1
	Address	1
	Telephone	2
	PHONE	2
	First_Name	3
	NAME	3
Remarks	This definition should be used to find potential matches between database column names. Note: The results listed above reflect the default match sensitivity (85).

Name
Description	The Name match definition generates match codes which can be used to cluster records containing names of individuals.
Max Length of Match Code	27 characters
Examples	Input	Cluster ID
	Mary Shafer	0
	Mrs. Marian V. Schaeffer	0
	Shaffer, Mary	0
Remarks	Note: The results listed above reflect the default match sensitivity (85).

Name (with Combinations)
Description	The Name (with Combinations) match definition generates match codes which can be used to cluster records containing names.
Max Length of Match Code	27 characters
Example 1	Input	Cluster ID
Sensitivities 50 - 100 Weight 100	Mary Shafer	0
Sensitivities 50 - 100 Weight 100	Shaffer, Mary	0
Example 2	Input	Cluster ID
Sensitivities 50 - 100 Weight 20	D Harrison Wood	1
Sensitivities 50 - 100 Weight 20	Harrison Wood	1
Example 2	Input	Cluster ID
Sensitivities 50 - 100 Weight 80	Martha Newell-Warner	2
Sensitivities 50 - 100 Weight 80	Martha Newell	2
Example 3	Input	Cluster ID
Sensitivities 50 - 100 Weight 50	John Elton	3
Sensitivities 50 - 100 Weight 50	Elton John	3
Remarks	This definition generates one or more match codes for each input string. The number of match codes generated for an input string depends on the content of the string. Each match code represents a combination of different parts of the input string; this enables two strings to be matched even when some parts of one or both of the strings differ. See the examples above for an illustration of clusters that might be produced using match codes generated by this definition. Note that a consequence of generating multiple match codes is that a record might be placed in more than one cluster by a subsequent clustering operation. Therefore, special attention should be given to the entity resolution process when using this definition. Generation of multiple match codes is achieved through the use of token-combination rules in the match definition. Each match code generated by the definition is associated with one token-combination rule. There is a weight assigned to each rule; each rule's weight is used to calculate a score that is assigned to the match code that is generated by that rule. The score for a match code is equal to the weight of the rule used to generate the match code times the sensitivity that is selected when the definition is executed. When a record is clustered, the score for the record’s match code represents the confidence with which we can assert that the record belongs in the cluster. Note that when different rules lead to identical clustering results, the scores of the match codes generated by the different rules might be aggregated using the Cluster Aggregation node in a Data Job. The Cluster Aggregation node allows several different methods for aggregating match code scores, such as minimum, maximum, or mean across instances of a record, or minimum, maximum, or mean across all records in a cluster. For information on the Cluster Aggregation node, refer to the documentation provided with the DataFlux Data Management Studio installation.

Organization
Description	The Organization match definition generates match codes which can be used to cluster records containing organization names.
Max Length of Match Code	35 characters
Examples	Input	Cluster ID
	DataFlux Corporation	0
	DataFlex LLC	0
	SAS Institute	0
	SAS Institute, Canada	0
Remarks	Note: The results listed above reflect the default match sensitivity (85).

Text
Description	The Text match definition generates match codes which can be used to cluster records containing general text strings.
Max Length of Match Code	15 characters
Examples	Input	Cluster ID
	they went	0
	you are	1
	you're	1
Remarks	Note: The results listed above reflect the default match sensitivity (85).

Parse Definitions

Business Title
Description	The Parse definition for Business Title parses business title information into a set of tokens.
Output Tokens	Position Level Location Department Grade
Example	Input	Output
	Marketing Director	Position	Director
		Level
		Location
		Department	Marketing
		Grade
Remarks

Date (DMY)
Description	The Parse definition for Date (DMY) parses dates with format DMY into a set of tokens.
Output Tokens	Day Month Year
Example	Input	Output
	05March1969	Day	05
		Month	March
		Year	1969
Remarks

Date (MDY)
Description	The Parse definition for Date (MDY) parses dates with format MDY into a set of tokens.
Output Tokens	Day Month Year
Example	Input	Output
	03-05-1969	Day	05
		Month	03
		Year	1969
Remarks

Date (YMD)
Description	The Parse definition for Date (YMD) parses dates with format YMD into a set of tokens.
Output Tokens	Day Month Year
Example	Input	Output
	1969.3.5	Day	5
		Month	3
		Year	1969
Remarks

Date/Time (DMY)
Description	The Parse definition for Date/Time (DMY) parses dates with format DMY HH:MM:SS into a set of tokens.
Output Tokens	Year Month Day Weekday Hours Minutes Seconds Time Extension
Example	Input	Output
	20 Jul 1969 02:20:32	Year	1969
		Month	Jul
		Day	20
		Weekday
		Hours	02
		Minutes	20
		Seconds	32
		Time Extension
Remarks

Date/Time (MDY)
Description	The Parse definition for Date/Time (MDY) parses dates with format MDY HH:MM:SS into a set of tokens.
Output Tokens	Year Month Day Weekday Hours Minutes Seconds Time Extension
Example	Input	Output
	Nov-06-2001 2:32 PM	Year	2001
		Month	Nov
		Day	06
		Weekday
		Hours	2
		Minutes	32
		Seconds
		Time Extension	PM
Remarks

Date/Time (YMD)
Description	The Parse definition for Date/Time (YMD) parses dates with format YMD HH:MM:SS into a set of tokens.
Output Tokens	Year Month Day Weekday Hours Minutes Seconds Time Extension
Example	Input	Output
	1999.10.11 22:40:00+04:00	Year	1999
		Month	10
		Day	11
		Weekday
		Hours	22
		Minutes	40
		Seconds	00
		Time Extension	+04:00
Remarks

Name
Description	The Parse definition for Name parses names of individuals into a set of tokens.
Output Tokens	Prefix Given Name Middle Name Family Name Suffix Title/Additional Info
Example 1	Input	Output
	Dr. James Goodnight, CEO	Prefix	Dr.
		Given Name	James
		Middle Name
		Family Name	Goodnight
		Suffix
		Title/Additional Info	CEO
Example 2	Input	Output
	Smith, Sr., Ronald G.	Prefix
		Given Name	Ronald
		Middle Name	G.
		Family Name	Smith
		Suffix	Sr.
		Title/Additional Info
Remarks

Name (Global)
Description	The Parse definition for Name (Global) parses names of individuals into a globally recognized set of tokens.
Output Tokens	Prefix Given Name Middle Name Family Name Suffix Title/Additional Info
Example 1	Input	Output
	Dr. James Goodnight, CEO	Prefix	Dr.
		Given Name	James
		Middle Name
		Family Name	Goodnight
		Suffix
		Title/Additional Info	CEO
Example 2	Input	Output
	Smith, Sr., Ronald G.	Prefix
		Given Name	Ronald
		Middle Name	G.
		Family Name	Smith
		Suffix	Sr.
		Title/Additional Info
Remarks	Parse definitions named with the Global keyword use a set of output tokens that is consistent across every locale. Results obtained from these definitions can be stored in the same database fields as the results obtained from definitions of the same name in other locales.

Name (Multiple Name)
Description	The Parse definition for Name (Multiple Name) parses strings that contain the names of two individuals into a set of tokens.
Output Tokens	Name 1 Name 2
Example 1	Input	Output
	Mr Jon and Mrs Sally Smith	Name 1	Mr Jon Smith
	Mr Jon and Mrs Sally Smith	Name 2	Mrs Sally Smith
Example 2	Input	Output
	Jon Smith & Pat Young Jr.	Name 1	Jon Smith
	Jon Smith & Pat Young Jr.	Name 2	Pat Young Jr.
Remarks	If only one name is present in the input, the first token is used. This definition replaces Name (Two Name).

Organization
Description	The Parse definition for Organization parses organization names into a set of tokens.
Output Tokens	Name Legal Form Site Additional Info
Example 1	Input	Output
	3Com Europe Limited	Name	3Com Europe
		Legal Form	Limited
		Site
		Additional Info
Example 2	Input	Output
	Corporate Psychology International (CPI)	Name	Corporate Psychology International
		Legal Form
		Site
		Additional Info	(CPI)
Remarks

Organization (Global)
Description	The Parse definition for Organization (Global) parses organization names into a globally recognized set of tokens.
Output Tokens	Name Legal Form Site Additional Info
Example 1	Input	Output
	3Com Europe Limited	Name	3Com Europe
		Legal Form	Limited
		Site
		Additional Info
Example 2	Input	Output
	Corporate Psychology International (CPI)	Name	Corporate Psychology International
		Legal Form
		Site
		Additional Info	(CPI)
Remarks	Parse definitions named with the Global keyword use a set of output tokens that is consistent across every locale. Results obtained from these definitions can be stored in the same database fields as the results obtained from definitions of the same name in other locales.

Organization (Multiple)
Description	The Parse definition for Organization (Multiple) parses strings that contain the names of one or two organizations into a set of tokens.
Output Tokens	Organization 1 Organization 2
Examples	Input	Output
	THE GINGER CAT T/A EMBROIDERY PLACE LLC	Organization 1	THE GINGER CAT
	THE GINGER CAT T/A EMBROIDERY PLACE LLC	Organization 2	EMBROIDERY PLACE LLC
Remarks

Pattern Analysis Definitions

None.

Standardization Definitions

Business Title
Description	The Standardization definition for Business Title standardizes business titles using a parse definition as an initial step.
Examples	Input	Output
	cfo	CFO
	Chief Financial Officer	CFO
	sales director	Director, Sales
Remarks

Business Title (No Parse)
Description	The Standardization definition for Business Title (No Parse) standardizes business titles without using a parse definition as an initial step.
Examples	Input	Output
	bus mngr	Business Manager
	BUSINESS MGR	Business Manager
	sales director	Sales Director
Remarks

Country
Description	The Standardization definition for Country standardizes country names to a common short format.
Examples	Input	Output
	UK	UNITED KINGDOM
	gbr	UNITED KINGDOM
Remarks

Country (FIPS)
Description	The Standardization definition for Country (FIPS) standardizes country names to the US FIPS code format.
Examples	Input	Output
	Czech Republic	CZ
	gbr	UK
Remarks

Country (Internet)
Description	The Standardization definition for Country (Internet) standardizes country names to the top-level domain designation.
Examples	Input	Output
	Czech Republic	CZ
	gbr	UK
Remarks

Country (ISO Number)
Description	The Standardization definition for Country (ISO Number) standardizes country names to the ISO-3166 numeric designation.
Examples	Input	Output
	Czech Republic	203
	gbr	826
Remarks

Country (ISO 2 Char)
Description	The Standardization definition for Country (ISO 2 Char) standardizes country names to the ISO-3166 two-character designation.
Examples	Input	Output
	Czech Republic	CZ
	gbr	GB
Remarks

Country (ISO 3 Char)
Description	The Standardization definition for Country (ISO 3 Char) standardizes country names to the ISO-3166 three-character designation.
Examples	Input	Output
	Czech Republic	CZE
	gbr	GBR
Remarks

Country (Region)
Description	The Standardization definition for Country (Region) standardizes country names to the United Nations region designation.
Examples	Input	Output
	Czech Republic	ASIA
	gbr	EUROPE
Remarks

Country (Sub-Region)
Description	The Standardization definition for Country (Sub-Region) standardizes country names to the United Nations sub-region designation.
Examples	Input	Output
	Czech Republic	WESTERN ASIA
	gbr	NORTHERN EUROPE
Remarks

Date (DMY)
Description	The Standardization definition for Date (DMY) standardizes dates that have format DMY. The output is a zero-padded two-digit day, followed by a zero-padded two-digit month, followed by a four-digit year. The day, month, and year are separated by spaces.
Examples	Input	Output
	04/07/02	04 07 2002
	04July05	04 07 1905
	04.07.05	04 07 1905
	04July2005	04 07 2005
	04-07-2005	04 07 2005
Remarks	If the input year is a two-digit value, it is assumed to be within the hundred year span with 2019 as the end of the span. For example, a year of 19 will be 2019, but a year of 20 will be 1920.

Date (MDY)
Description	The Standardization definition for Date (MDY) standardizes dates that have format MDY. The output is a zero-padded two-digit month, followed by a zero-padded two-digit day, followed by a four-digit year. The month, day, and year are separated by spaces.
Examples	Input	Output
	July04, 02	07 04 2002
	07/04/02	07 04 2002
	July04, 05	07 04 1905
	07.04.05	07 04 1905
	July 4, 2005	07 04 2005
	07-04-2005	07 04 2005
Remarks	If the input year is a two-digit value, it is assumed to be within the hundred year span with 2019 as the end of the span. For example, a year of 19 will be 2019, but a year of 20 will be 1920.

Date (YMD)
Description	The Standardization definition for Date (YMD) standardizes dates that have format YMD. The output is a four-digit year, followed by a zero-padded two-digit month, followed by a zero-padded two-digit day. The year, month, and day are separated by spaces.
Examples	Input	Output
	02July04	2002 07 04
	02/07/04	2002 07 04
	05July04	1905 07 04
	05.07.04	1905 07 04
	2005July04	2005 07 04
	2005-07-04	2005 07 04
Remarks	If the input year is a two-digit value, it is assumed to be within the hundred year span with 2019 as the end of the span. For example, a year of 19 will be 2019, but a year of 20 will be 1920.

Date/Time (DMY) Basic
Description	The Standardization definition for Date/Time (DMY) Basic standardizes dates that have format DMY HH:MM:SS. The output is a 4-digit year followed by a zero-padded two-digit month, followed by a zero-padded two-digit day, followed by a zero-padded two-digit hour, followed by zero-padded two-digit minutes, followed by zero-padded two-digit seconds. The day, month, and year are separated by spaces and the time elements are separated by spaces. The date and the time are separated by a "T".
Examples	Input	Output
	04/07/02	2002 07 04
	15 Oct 1970	1970 10 15
	11 May 2000 10:12:45	2000 05 11T10 12 45
Remarks	The output of this definition is the same as Date/Time (MDY) Basic and Date/Time (YMD) Basic.

Date/Time (DMY) Extended
Description	The Standardization definition for Date/Time (DMY) Extended standardizes dates that have format DMY HH:MM:SS. The output is a 4-digit year followed by a zero-padded two-digit month, followed by a zero-padded two-digit day, followed by a zero-padded two-digit hour, followed by zero-padded two-digit minutes, followed by zero-padded two-digit seconds. The day, month, and year are separated by dashes and the time elements are separated by colons. The date and the time are separated by a "T".
Examples	Input	Output
	04/07/02	2002-07-04
	15 Oct 1970	1970-10-15
	11 May 2000 10:12:45	2000-05-11T10:12:45
Remarks	The output of this definition is the same as Date/Time (MDY) Extended and Date/Time (YMD) Extended.

Date/Time (MDY) Basic
Description	The Standardization definition for Date/Time (MDY) Basic standardizes dates that have format MDY HH:MM:SS. The output is a 4-digit year followed by a zero-padded two-digit month, followed by a zero-padded two-digit day, followed by a zero-padded two-digit hour, followed by zero-padded two-digit minutes, followed by zero-padded two-digit seconds. The day, month, and year are separated by spaces and the time elements are separated by spaces. The date and the time are separated by a "T".
Examples	Input	Output
	04/07/02	2002 04 07
	Oct 15 1970	1970 10 15
	May 11, 2000 10:12:45	2000 05 11T10 12 45
Remarks	The output of this definition is the same as Date/Time (DMY) Basic and Date/Time (YMD) Basic.

Date/Time (MDY) Extended
Description	The Standardization definition for Date/Time (MDY) Extended standardizes dates that have format MDY HH:MM:SS. The output is a 4-digit year followed by a zero-padded two-digit month, followed by a zero-padded two-digit day, followed by a zero-padded two-digit hour, followed by zero-padded two-digit minutes, followed by zero-padded two-digit seconds. The day, month, and year are separated by dashes and the time elements are separated by colons. The date and the time are separated by a "T".
Examples	Input	Output
	04/07/02	2002-04-07
	Oct 15 1970	1970-10-15
	May 11, 2000 10:12:45	2000-05-11T10:12:45
Remarks	The output of this definition is the same as Date/Time (DMY) Extended and Date/Time (YMD) Extended.

Date/Time (YMD) Basic
Description	The Standardization definition for Date/Time (YMD) Basic standardizes dates that have format YMD HH:MM:SS. The output is a 4-digit year followed by a zero-padded two-digit month, followed by a zero-padded two-digit day, followed by a zero-padded two-digit hour, followed by zero-padded two-digit minutes, followed by zero-padded two-digit seconds. The day, month, and year are separated by spaces and the time elements are separated by spaces. The date and the time are separated by a "T".
Examples	Input	Output
	04/07/02	2004 07 02
	1970 Oct 15	1970 10 15
	2000 May 11 10:12:45	2000 05 11T10 12 45
Remarks	The output of this definition is the same as Date/Time (DMY) Basic and Date/Time (MDY) Basic.

Date/Time (YMD) Extended
Description	The Standardization definition for Date/Time (YMD) Extended standardizes dates that have format YMD HH:MM:SS. The output is a 4-digit year followed by a zero-padded two-digit month, followed by a zero-padded two-digit day, followed by a zero-padded two-digit hour, followed by zero-padded two-digit minutes, followed by zero-padded two-digit seconds. The day, month, and year are separated by dashes and the time elements are separated by colons. The date and the time are separated by a "T".
Examples	Input	Output
	04/07/02	2004-07-02
	1970 Oct 15	1970-10-15
	2000 May 11 10:12:45	2000-05-11T10:12:45
Remarks	The output of this definition is the same as Date/Time (DMY) Extended and Date/Time (MDY) Extended.

Name
Description	The Standardization definition for Name standardizes names of individuals.
Examples	Input	Output
	john donovan	John Donovan
	mister morrison junior	Mr Morrison, Jr
Remarks

Organization
Description	The Standardization definition for Organization standardizes organization names.
Examples	Input	Output
	Robe River Iron Associates	Robe River Iron Associates
	Moffat Limited Australia	Moffat Ltd, Australia
	A.T.W.Products Sp. z o.o.	ATW Products SP ZOO
Remarks

Inherited Definitions

In addition to the definitions listed on this page, all English-language locales also inherit all Global definitions.