data quality


Also found in: Acronyms, Wikipedia.

data quality

A dimension of data contributing to its trustworthiness and pertaining to accuracy, sensitivity, validity and fitness to purpose. Scientists trust data that are accurate (high quality), and that are reviewed by trusted peers and investigators and free from unauthorised alteration (high integrity).

Key elements
Attribution, legibility, contemporaneousness, originality, accuracy, precision, completeness, consistency (i.e., logical and not out of range).
References in periodicals archive ?
To study and analyze the global Data Quality and Governance Cloud market size by key regions/countries, product type and application, history data from 2014 to 2018, and forecast to 2024.
However, King believes there is reason for optimism: "If machine learning poses a special challenge for data quality, it may also hold the key to the solution." How?
In many respects, they are the same challenges that data quality professionals confront daily.
The main data quality issue stemmed from incorrect and varying inputs on addresses.
Data quality is important to GDPR because the regulation gives customers the right to access and correct their personal data and have a say in how long the data can be retained, ultimately empowering citizens' data privacy.
Why should we worry about data quality? The answer seems to be obvious, but let's think about it.
* Topics include the following: --Recording and data verification --Data reporting, analysis --Denominator --Workforce, training, and human resources Module 4: Data Quality Improvement Plan (DQIP) Development * Debrief and review of all data and information gathered in the prior three modules.
Expressing his pleasure on the recognition, Marcin Trusz, Chief Risk Officer, Home Credit India, said, "It is an honour for us to receive the prestigious TransUnion CIBIL Data Quality Award.
In order to accomplish these data quality standards, the INDEPTH Network, as a core policy, recommends standard quality control measures for all sites within the Network to follow in ensuring data quality.
Platform for PLM Data Quality Management and PLM Data Migrations
Nordea is committed to demonstrating industry leadership in sanctions risk management, and SWIFT's new Payments Data Quality service represents a major step forward in supporting our compliance with the new FATF Recommendation 16 requirements and enhancing the overall effectiveness of our financial crime compliance programme.'
Nine out of ten companies, that is, 87% of organizations suffer from data pollutants and 74% of organizations have pollutants in their data stores currently, despite data quality management technologies, as per StreamSet.

Full browser ?