https://datamanagement.wiki/ 2026-05-10T22:03:50+00:00 https://datamanagement.wiki/ https://datamanagement.wiki/_media/wiki/favicon.ico text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/ability_to_represent_null_values?rev=1709904783&do=diff Ability to represent null values Definition Ability to represent null values of a format is the degree to which a format allows null values in a data element. Relation Ability to represent null values is a characteristic of a format of a data element Reference(s) DAMA NL (2020). Dimensions of Data Quality (DDQ). Research paper. text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/accessibility?rev=1709904783&do=diff Accessibility Definition Accessibility of data is the degree to which the user is able to access and use data. Notes * Accessibility involves ensuring that data is stored in a format that is compatible with the tools and applications that will be used to work with it. text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/accuracy?rev=1709904783&do=diff Accuracy Definition Accuracy of a data value is the degree of closeness of data values to real values. Relation Accuracyis a characteristic of a data valueAccuracyis an instance of adata quality dimension Note Accuracy can be determined, by comparing data in your database with a real-world measurement. For example, you could call a customer and ask if his email address is still john@mail.com. If you draw a sample from your database, you can make statements about the accuracy of all the data… text/html 2025-10-24T11:59:07+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/appropriateness?rev=1761307147&do=diff Appropriateness Definition Appropriateness of a format is the degree to which a format is suitable for use. Appropriateness of the amount of datarecords is the degree to which the amount of data records are suitable for use. Relation Appropriateness is a characteristic of a formatAppropriateness text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/availability?rev=1709904783&do=diff Availability Definition Availability of is the degree to which data can be consulted or retrieved by data users or processen. Note Data ar not available because the are not there or they cannot be accessed. Relations Availabilityis a characteristic of dataAvailabilityincludes text/html 2026-01-02T15:52:47+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/clarity?rev=1767369167&do=diff Clarity Definition Clarity of is ease with which data users can understand metadata. Synonym(s) * Readability * Unambiguity Relation(s) Clarity is a characteristic of metadata Example(s) The metadata of the order file is not very clear. It contains only technical names. It is not always possible to tell what the meaning of a text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/coherence?rev=1709904783&do=diff Coherence Definition Coherence of the composition of a dataset is the degree to which datasets can be combined. Relation Coherence is a characteristic of the composition of a dataset Reference(s) DAMA NL (2020). Dimensions of Data Quality (DDQ). Research paper. <https://www.dama-nl.org/wp-content/uploads/2020/09/DDQ-Dimensions-of-Data-Quality-Research-Paper-version-1.2-d.d.-3-Sept-2020.pdf> all dataqualitydimension text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/comparability_over_populations?rev=1709904783&do=diff Comparability Definitions Comparability of data values over populations is the degree to which data values respresenting two or more populations have the same definition and are measured in the same way. Comparability of data values over time is the degree to which data values over time have the same definition and are measured in the same way. text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/completeness?rev=1709904783&do=diff Completeness Definitions * Completeness of data values is the degree to which all required data values are present. * Completeness of data elements is the degree to which all required data elements in the dataset are present. * Completeness of data records is the degree to which all required data records in the dataset are present. text/html 2025-11-09T17:53:15+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/compliance?rev=1762710795&do=diff Compliance with laws, regulations, or standards Definition Compliance with laws, regulations, or standards is the degree to which data is in accordance with laws, regulations, or standards. Relation Compliance is a characteristic of data Example Zimbabwe publishes essential macroeconomic and financial data according to the Enhanced General Data Dissemination System (e-GDDS), an IMF-standard. text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/confidentiality?rev=1709904783&do=diff Confidentiality Definition Confidentiality of data is the degree to which disclosure of data is restricted to authorized data users. Relations Confidentiality is characteristic of data Confidentiality is one of three aspects of data security Other aspects of data security are text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/consistency?rev=1709904783&do=diff Consistency Definitions * Temporal consistency is the degree to which data values of a data element of a dataset at different points in time comply with a data quality rule. * Consistency across datasets is the degree to which data values of data elements of different datasets comply with a data element of a dataset at different points in time comply with a text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/creditility?rev=1709904783&do=diff Credibility Definition Credibility of data values is the degree to which data values are regarded as true and believable by data consumers Note Credibility can be determined by asking for someone's opinion on the quality of data values {perception) . It can be based on own experience but also on hearsay. The outcome is therefore completely subjective. text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/currency?rev=1709904783&do=diff Currency Definition Currency is the degree to which data values are up to date. Note The cause of lack of currency is, that data values have not been updated {in time). Relation Currency is a characteristic of data values If a data value is not current, then it is also not accurate. Example Old adress text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/equivalance?rev=1709904783&do=diff Equivalance Definition Equivalance of data elements is the degree to which a data elements stored in multiple datasets are conceptually equal. Note(s) Data elements in different datasets could have different formats, different names, subdivided in multiple data elements or even different descriptions, but still have the same meaning. text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/findability?rev=1709904783&do=diff Findability Definition Findability of data is the ease to which data can be located and retrieved. Notes * Findability involves ensuring that data is properly indexed and tagged with appropriate metadata so that it can be easily searched and discovered. * text/html 2025-10-24T11:47:19+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/granularity?rev=1761306439&do=diff Granularity Definitions * Granularity of a data element is the degree to which a data element is subdivided in data elements. * Granularity of data records is the degree to which data records are subdivided in data records. Synonym(s) Level of detail Relations Granularity is a characteristic of data elementsGranularity text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/integrity?rev=1709904783&do=diff Integrity Definition Integrity of data values is the degree of absence, loss or corruption of data values. Relations Integrity is a characteristic of data valueIntegrity is one of the three aspects of data security * Other aspects of data security are confidentiality and accessibility (CIA). * Integrity can also be regarded as a text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/latency?rev=1709904783&do=diff Latency Definition Latency of data is the period of time between the point when data is created and the point when it is available for use. Note(s) See also timeliness Relation Latency is a characteristic of data Example(s) The latency of the transaction between my computer and the stock exchange is two milliseconds. text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/linkability?rev=1709904783&do=diff Linkability Definition Linkability of data files is the degree to which data records of one data file can be correctly coupled with data records of another data file. Relation Linkability is a characteristic of data files Example 95% of the incoming invoices can be linked to the correct suppliers in the supplier database. text/html 2024-06-28T12:22:23+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/metadata_compliance?rev=1719577343&do=diff Metadata compliance Definition Metadata compliance of data values is the degree to which data values are in accordance with their definition, format specification and value domain. Synonyms Metadata conformance Relation Metadata compliace is a characteristic of data values Example(s) The dates of birth in the employee file does for 99% fit its definition. Sometimes the date of employment is registered here. text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/naturalness?rev=1709904783&do=diff Naturalness Definition Naturalness of the composition of a dataset is the degree to which the composition of a dataset is aligned with the real-world objects that it represent. Relation(s) Naturalness is a characteristic of thecomposition of a dataset Reference(s) DAMA NL (2020). Dimensions of Data Quality (DDQ). Research paper. text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/objectivity?rev=1709904783&do=diff Objectivity Definition Objectivity of data values is the degree to which data values are created in an unbiased manner. Relation Objectivity is a characteristic of data values Example(s) These data values can be regarded objective because they are created by a calibrated instrument. text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/obtainability?rev=1709904783&do=diff Obtainability Definition Obtainability of data the ease to which data can be acquired. Relation Obtainability is a characteristic of data Example(s) For privacy reason these data couldn't be obtained. Reference(s) DAMA NL (2020). Dimensions of Data Quality (DDQ). Research paper. text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/plausibility?rev=1709904783&do=diff Plausibility Definition Plausibility of data values is the degree to which data values match knowledge of the real. Relations Plausibility is a characteristic of data valuesPlausibility is an instance of adata quality dimension Note You can determine plausibility by comparing data with what you read in the newspaper or what you observed yourself. It's an expert guess. It may warrant further investigation into the accuracy of the data. text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/portability?rev=1709904783&do=diff Portability Definitions Portability of data is the degree to which data can be installed, replaced or moved from one system to another while preserving the existing quality. Portability of a format is the degree to which a format can be applied in a wide range of situations. text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/precision?rev=1709904783&do=diff Precision Definition Precision of data values is the degree to which the error in data values spreads around zero (in statistics). Relation(s) Precision is a characteristic of data value Reference(s) DAMA NL (2020). Dimensions of Data Quality (DDQ). Research paper. <https://www.dama-nl.org/wp-content/uploads/2020/09/DDQ-Dimensions-of-Data-Quality-Research-Paper-version-1.2-d.d.-3-Sept-2020.pdf> all dataqualitydimension text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/punctuality?rev=1709904783&do=diff Punctuality Definition Punctuality of data availability is the degree to which the period between the actual and target point of time of availability of the dataset is appropriate. Relation(s) Punctuality is a characteristic of the availability of a dataset Example(s) The data supplier had agreed to deliver the data by 12 March. He was punctual as the delivery took place on 10 March. text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/reasonability?rev=1709904783&do=diff Reasonabilty Definition Reasonabilty of a data pattern is the degree to which a data pattern meets expectations Relations Reasonabilty is a characteristic of data pattern Exmaple The monthly sales figures of 2022 look reasonable. They look as expected. Reference(s) DAMA NL (2020). Dimensions of Data Quality (DDQ). Research paper. text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/recoverabiliity?rev=1709904783&do=diff Recoverability Definition Recoverability of dataset is the degree to which a dataset is preserved in the event of incident. Relation Recoverability is a characteristic of a dataset Examples(s) The dataset couldn't be recovered after a hard disk crash. There was no appropriate backup. text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/redundancy?rev=1709904783&do=diff Redundancy Definition Redundancy of dataset is the degree to which to which logically identical data are stored more than once. Relations Redundancy is a characteristic of data Examples(s) The article data were maintained in multiple data files. They were redundantly stored. This caused problems with the consistency. There was no single source of truth. text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/referential_integrity?rev=1709904783&do=diff Referential integrity Definition Referential integrity of data files is the degree to which data values of the primary key of one data file and data values of the forein key of another data file are equal. Relations Referential integrity is a characteristic of a data file in relation to another data file Example(s) 98% of the employee records pointed to a department record. text/html 2024-06-28T12:19:37+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/relevance?rev=1719577177&do=diff Relevance Definition Relevance of a composition of a dataset is the degree to which the composition of a dataset meets the needs of data users. Synonym Usability Relation(s) Relevance is a characteristic of the composition of a dataset Example The order file is not relevant because it doen't regard the right period in time. Reference(s) text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/reliability?rev=1709904783&do=diff Reliability Definition Reliability of an initial data value is the closeness of the initial data value to the subsequent data value. Relations Reliability is a characteristic of an initial data value Examples(s) The preliminary sales figures were not reliable. They deviated too much from the final sales figures. text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/reproducibility?rev=1709904783&do=diff Reproducibility Definition Reproducibility of a data set is the degree to which a dataset can be recreated with the same data values. Relations Reproducibility is a characteristic of a dataset Examples The file of suppliers got lost but could be reproduced based on a printed list of suppliers. text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/reputation?rev=1709904783&do=diff Reputation Definition Reputation of data is the degree to which data are trusted or highly regarded in terms of their source or content. Relation Reputation is a characteristic of a data Exmaples(s) The reputation of the national list of zip codes is good, because the supplier is trusted. It cannot afford to make errors in this list. text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/retention_periode?rev=1709904783&do=diff Retention period Definition Retention period of datasets is the period that datasets are available until they can or must be deleted. Note Retention period can also refer to data records in a dataset. Relation Retention period is a characteristic of a datasets Example This dataset must be deleted 5 years after creation of the last mutation. text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/timeliness?rev=1709904783&do=diff Timeliness Definition Timeliness of data availability is the degree to which the period between the time of creation of the real value and the time that the dataset is available is appropriate. Note Note the difference with punctuality which refers to a planned point in time of delivery. text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/traceability?rev=1709904783&do=diff Traceability Definition Traceability of data is the degree to which it is possible to trace how data was created. Note If data are traceable it means that data lineage is available. Relation Traceability is a characteristic of dataTraceability is promoted bydata lineage Example The data could be traced from input trough the process until the output. text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/uniqueness?rev=1709904783&do=diff Uniqueness Definition(s) * Uniqueness of data records is the degree to which data records occur only once in a data file. * Uniqueness of the mapping of an object in a data file is the degree to which objects (in the real world) occur as one data record in a data file. * Uniqueness of primary keys is the degree to which text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/validity?rev=1709904783&do=diff Validity Definition Validity of data the degree to which data values comply with rules. Relation Validity is a characteristic of a data values Example This employee file contains 3% email-adresses without a @. These adresses are not valid. Reference(s) DAMA NL (2020). Dimensions of Data Quality (DDQ). Research paper. text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/valuability?rev=1709904783&do=diff Valuability Definition Valuability of data the degree to which data provide advantages from their use. Relation Valuability is a characteristic of a data Example The client file of a doctor is very valuable. His entire practice is based on it. Reference(s) DAMA NL (2020). Dimensions of Data Quality (DDQ). Research paper. text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/variety?rev=1709904783&do=diff Variety Definition Variety of data the degree to which data are available from different sources. Relation(s) Variety is a characteristic of data Example E-mail adresses can be obtained from various data suppliers. Reference(s) DAMA NL (2020). Dimensions of Data Quality (DDQ). Research paper. text/html 2024-03-08T13:33:03+00:00 Anonymous (anonymous@undisclosed.example.com) https://datamanagement.wiki/data_quality_dimension/volatility?rev=1709904783&do=diff Volatility Definition Volatility of data the degree to which data values change over time. Relation Volatility is a characteristic of a data values Example The price of Bitcoin is sometimes very volatile. Reference DAMA NL (2020). Dimensions of Data Quality (DDQ). Research paper.