Data validation - Revision history

MaciejBlizinski: ...and another typo

2006-04-03T23:18:41Z

...and another typo

MaciejBlizinski: Typo

2006-04-03T23:18:13Z

Typo

MaciejBlizinski at 17:55, 28 September 2005

2005-09-28T17:55:40Z

MaciejBlizinski at 17:50, 28 September 2005

2005-09-28T17:50:25Z

MaciejBlizinski at 16:55, 28 September 2005

2005-09-28T16:55:18Z

MaciejBlizinski at 16:22, 28 September 2005

2005-09-28T16:22:10Z

MaciejBlizinski at 22:16, 23 September 2005

2005-09-23T22:16:15Z

MaciejBlizinski at 21:40, 23 September 2005

2005-09-23T21:40:11Z

MaciejBlizinski at 21:36, 23 September 2005

2005-09-23T21:36:26Z

New page

'''Data validation''' means ensuring the internal integrity of the data. For example, the date of operation can be not earlier than the date of birth. Therefore, the [[validation rules]] are the derived from the logical construction of the modeled reality.

Please note, that validated data can be still not true, it can still not reflect the facts. To be sure that the data represents the truth (the facts), the [[data verification]] must be performed.

[[category:terminology]]

@@ Line 5: / Line 5: @@
 '''Data validation''' means ensuring the '''internal integrity''' of the data. For example, the date of operation can be not earlier than the date of birth. The [[validation rules]] are the derived from the logical construction of the modeled reality.
-The [[data validation]] Procedure was designed to improve the quality of data by finding inconsistencies in the data. For example, the patient's birth date can't be later than the date of the operation. There is a number of validation rules that the record has to meet in order to be published. Some of the data may  be labeled "incorrect" by the computer by may in fact be correct which the owners of the data can confirm, for example unusuall age and weight combinations. In such case, the hospital can mark the record as correct, despite not meeting the validation rule (see [[validation rules]]). The last word belongs to the data manager. He is the one to finally accept or reject the record.
+The [[data validation]] Procedure was designed to improve the quality of data by finding inconsistencies in the data. For example, the patient's birth date can't be later than the date of the operation. There is a number of validation rules that the record has to meet in order to be published. Some of the data may  be labeled "incorrect" by the computer by may in fact be correct which the owners of the data can confirm, for example unusual age and weight combinations. In such case, the hospital can mark the record as correct, despite not meeting the validation rule (see [[validation rules]]). The last word belongs to the data manager. He is the one to finally accept or reject the record.
 Please note, that validated data can be still not true, it can still not reflect the facts. To be sure that the data represents the truth (the facts), the [[data verification]] must be performed.

@@ Line 5: / Line 5: @@
 '''Data validation''' means ensuring the '''internal integrity''' of the data. For example, the date of operation can be not earlier than the date of birth. The [[validation rules]] are the derived from the logical construction of the modeled reality.
-The [[data validation]] Procedure was designed to improve the quality of data by finding inconsistencies in the data. For example, the patient's birth date can't be later than the date of the operation. There is a number of validation rules that the record has to meet in order to be published. Some of the data may  be labeled "incorrect" by the computer by may in fact be correct which the ownewrs of the data can confirm, for example unusuall age and weight combinations. In such case, the hospital can mark the record as correct, despite not meeting the validation rule (see [[validation rules]]). The last word belongs to the data manager. He is the one to finally accept or reject the record.
+The [[data validation]] Procedure was designed to improve the quality of data by finding inconsistencies in the data. For example, the patient's birth date can't be later than the date of the operation. There is a number of validation rules that the record has to meet in order to be published. Some of the data may  be labeled "incorrect" by the computer by may in fact be correct which the owners of the data can confirm, for example unusuall age and weight combinations. In such case, the hospital can mark the record as correct, despite not meeting the validation rule (see [[validation rules]]). The last word belongs to the data manager. He is the one to finally accept or reject the record.
 Please note, that validated data can be still not true, it can still not reflect the facts. To be sure that the data represents the truth (the facts), the [[data verification]] must be performed.

←Older revision		Revision as of 17:55, 28 September 2005
Line 8:		Line 8:

	Please note, that validated data can be still not true, it can still not reflect the facts. To be sure that the data represents the truth (the facts), the [[data verification]] must be performed.		Please note, that validated data can be still not true, it can still not reflect the facts. To be sure that the data represents the truth (the facts), the [[data verification]] must be performed.
		+
		+	'''See also:'''
		+	*[[Validation rules]]

	[[category:terminology\|Validation]]		[[category:terminology\|Validation]]

@@ Line 4: / Line 4: @@
 '''Data validation''' means ensuring the '''internal integrity''' of the data. For example, the date of operation can be not earlier than the date of birth. The [[validation rules]] are the derived from the logical construction of the modeled reality.
 Please note, that validated data can be still not true, it can still not reflect the facts. To be sure that the data represents the truth (the facts), the [[data verification]] must be performed.
 [[category:terminology|Validation]]

←Older revision		Revision as of 16:55, 28 September 2005
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	{{terminology-infobox}}		{{terminology-infobox}}
		+
		+	[[Image:DataValidation.png\|400px]]

	'''Data validation''' means ensuring the '''internal integrity''' of the data. For example, the date of operation can be not earlier than the date of birth. The [[validation rules]] are the derived from the logical construction of the modeled reality.		'''Data validation''' means ensuring the '''internal integrity''' of the data. For example, the date of operation can be not earlier than the date of birth. The [[validation rules]] are the derived from the logical construction of the modeled reality.

←Older revision		Revision as of 22:16, 23 September 2005
Line 1:		Line 1:
		+	{{terminology-infobox}}
		+
	'''Data validation''' means ensuring the internal integrity of the data. For example, the date of operation can be not earlier than the date of birth. Therefore, the [[validation rules]] are the derived from the logical construction of the modeled reality.		'''Data validation''' means ensuring the internal integrity of the data. For example, the date of operation can be not earlier than the date of birth. Therefore, the [[validation rules]] are the derived from the logical construction of the modeled reality.

←Older revision		Revision as of 21:40, 23 September 2005
Line 3:		Line 3:
	Please note, that validated data can be still not true, it can still not reflect the facts. To be sure that the data represents the truth (the facts), the [[data verification]] must be performed.		Please note, that validated data can be still not true, it can still not reflect the facts. To be sure that the data represents the truth (the facts), the [[data verification]] must be performed.

−	[[category:terminology]]	+	[[category:terminology\|Validation]]