Data Quality

Data quality refers to the state of qualitative or quantitative pieces of information. There are many definitions of data quality, but data is generally considered high quality if it is "fit for [its] intended uses in operations, decision making and planning". Moreover, data is deemed of high quality if it correctly represents the real-world construct to which it refers. Furthermore, apart from these definitions, as the number of data sources increases, the question of internal data consistency becomes significant, regardless of fitness for use for any particular external purpose. People's views on data quality can often be in disagreement, even …



RAND Corporation · 4 December 2023 English

This report presents the results of an exploratory machine learning–based analysis of green stormwater infrastructure asset data across five cities in the United States. Within each city, authors evaluated how …

standard practices around technical robustness and data quality, transparency, security and privacy protection

WHO: World Health Organization · 1 December 2023 English

death 3.3 Training in medical certification 3.4 Data quality checks for cause of death data 3.5 Qualifications often all, births and deaths but efficiency and data quality are of concern. In many cases, listed causes be achieved through routine application of data quality software, for example, ANACONDA (co-developed deficiencies and hence little interest in conducting data quality reviews. In- troduction of electronic data deficiency

WHO: World Health Organization · 1 December 2023 English

registration is complete, but cause of death data quality remains suboptimal. Additionally, 37 countries streamlining data compilation procedures and improving data quality assessment, governments could enhance the policy close to 95% complete; but where cause of death data quality was assessed as being predominantly moderate sub- stantial challenges with cause of death data quality. Countries in this category tended to be more data; and on implementing processes to assess data quality.6 Concurrently, there should be accelerated

WHO: World Health Organization · 1 December 2023 English

aggregation methods, time coverage, and standards for data quality control and validation. Data may be missed

World Bank Group · 29 November 2023 English

Although female entrepreneurship is crucial to generating sustainable and equitable growth patterns, international evidence shows that women tend to be underrepresented in entrepreneurship, and this gender gap has exhibited remarkable …

surveys, which poses a major challenge in terms of data quality and comparability. Among the problmes survey

World Bank Group · 29 November 2023 English

This study examines which factors influence support for reducing fossil fuel subsidies and what types of information shift people’s views through surveying 37,000 respondents across 12 middle-income countries that provided …

understanding the questions and/or treatments. 5.3.5 Data quality checks To reduce the risk that some respondents keeping with Alesina et al. (2018), an explicit data quality check was included. Specifically, respondents

Big Brother Watch · 28 November 2023 English

The Bill gives the Secretary of State a series of new Henry VIII powers throughout its text, allowing much of the regulatory framework to be changed subject to the Secretary …

or other criminal investigation purposes.| 5. Data Quality Principle Statement of Principle: “I choose

World Bank Group · 28 November 2023 English

Climate change is unfolding amid the greatest information and communication revolution in human history. From e-commerce and social media to smart manufacturing and precision farming, digital technologies have become prevalent …

The Digital–Climate Nexus the need to enhance data quality and reliability, the government plans to improve

UNDP: United Nations Development Programme · 28 November 2023 English

The UNDP Policy Brief “A Resilient Future for All: Advancing Disability Inclusion in Disaster Risk Reduction and Recovery for Building Resilience and Leaving No One Behind” recognizes disability inclusion as …

availability of prevalence data. To enhance data quality, foster meaningful participation and promote

EPRS: European Parliamentary Research Service · 28 November 2023 English

implementing decision specifying the minimum data quality standards and technical specifications for entering data and analytics for policy, operational and data quality purposes. Recent developments Although initially

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