Core Data Model Mapping Directory

DATA_EDITING

Activity aimed at detecting and correcting errors, logical inconsistencies and suspicious data.

Editing techniques refer to a range of procedures and processes used for detecting and handling errors in data, also aiming at avoiding their future repetition. An \edit\" is the correction of an error in data. An \"editing rule\" is the specification of the conditions under which edits are made. Examples of different techniques include the different approaches to editing such as micro-editing/ macro-editing, input/output editing, or to the various tools available for editing such as graphical editing, interactive editing, etc. Edit types refer to the actual nature of edits applied to data during input or output processing. These include: - validation edits, to check the validity of basic identification of classificatory items in unit data, - logical edits, to ensure that two or more data items do not have contradictory values, - consistency edits, to ensure that precise and correct arithmetic relationships exist between two or more data items, - range edits, identifying whether or not a data item value falls inside a determined acceptable range, - variance edits, looking for suspiciously high variances at the output edit stage. Micro-editing and macro-editing may be distinguished in order to calculate rate of edits. Edit types may also refer to whether these edits are fatal or query type, i.e. whether they detect errors with certainty or point to suspicious data items."

Internal Identifier
DATA_EDITING
Public ID
No public identifier
CDMMD ID
http://mapping.semic.eu/vdm/id/cv/6806923ecace4e67a29da28d77dc4bf7
Type
Property
Raw data
HTML | RDF/XML | Turtle

Metadata

type Property
label DATA_EDITING
rdfs:range 3b4f3414682a221fe59c2427d0945420
Title DATA_EDITING
definition Activity aimed at detecting and correcting errors, logical inconsistencies and suspicious data.
Description Editing techniques refer to a range of procedures and processes used for detecting and handling errors in data, also aiming at avoiding their future repetition. An \edit\" is the correction of an error in data. An \"editing rule\" is the specification of the conditions under which edits are made. Examples of different techniques include the different approaches to editing such as micro-editing/ macro-editing, input/output editing, or to the various tools available for editing such as graphical editing, interactive editing, etc. Edit types refer to the actual nature of edits applied to data during input or output processing. These include: - validation edits, to check the validity of basic identification of classificatory items in unit data, - logical edits, to ensure that two or more data items do not have contradictory values, - consistency edits, to ensure that precise and correct arithmetic relationships exist between two or more data items, - range edits, identifying whether or not a data item value falls inside a determined acceptable range, - variance edits, looking for suspiciously high variances at the output edit stage. Micro-editing and macro-editing may be distinguished in order to calculate rate of edits. Edit types may also refer to whether these edits are fatal or query type, i.e. whether they detect errors with certainty or point to suspicious data items."
type Property
has internal identifier DATA_EDITING
included asset 1ed57bbbf18d06fe54d8670eb3a5ce4d
sample
http://www.w3.org/ns/adms#versionNotes
Is Part Of SDMX