Topics
AmyAgent
Stanford UniversityUniversity
The Data Quality and Standards Working Group determined where current administrative data quality standards exist and where additional guidance are needed. The group used a hypothetical example to illustrate how improved data quality can make administrative data research better. Chair and Lead Author: Amy O\u27Hara (Stanford University)https://repository.upenn.edu/admindata_reports/1001/thumbnail.jp
The aim of this review is to highlight issues in data quality research and to discuss potential res...
Data quality assurance is a central aspect of data curation, as it ensures that data are valid, reli...
State and local agencies administering programs have in their administrative data a powerful resourc...
The Data Quality and Standards Working Group determined where current administrative data quality st...
This guide aims to: (i) raise users’ awareness of the types of potential data quality issues affecti...
Although managers consider accurate, timely, and relevant information as critical to the quality of ...
The issue of data quality is as old as data itself. However, the proliferation of diverse, large-sca...
While some research has been done to identify the dimensions of data quality and to develop methodol...
The body of knowledge on data and information quality is highly diversified, primarily ...
The body of knowledge on data and information quality is highly diversified, primarily due to the cr...
Data quality is crucial in measuring and analyzing science, technology and innovation adequately, wh...
Technology has been the catalyst that has facilitated an explosion of organisational data in terms o...
Existing methodologies for identifying dataquality problems are typically user-centric, where dataqu...
Maintaining quality data and information challenges today’s organizations, and is essential to good ...
This research has identified a gap in the literature surrounding the process of improving and sustai...
The aim of this review is to highlight issues in data quality research and to discuss potential res...
Data quality assurance is a central aspect of data curation, as it ensures that data are valid, reli...
State and local agencies administering programs have in their administrative data a powerful resourc...
The Data Quality and Standards Working Group determined where current administrative data quality st...
This guide aims to: (i) raise users’ awareness of the types of potential data quality issues affecti...
Although managers consider accurate, timely, and relevant information as critical to the quality of ...
The issue of data quality is as old as data itself. However, the proliferation of diverse, large-sca...
While some research has been done to identify the dimensions of data quality and to develop methodol...
The body of knowledge on data and information quality is highly diversified, primarily ...
The body of knowledge on data and information quality is highly diversified, primarily due to the cr...
Data quality is crucial in measuring and analyzing science, technology and innovation adequately, wh...
Technology has been the catalyst that has facilitated an explosion of organisational data in terms o...
Existing methodologies for identifying dataquality problems are typically user-centric, where dataqu...
Maintaining quality data and information challenges today’s organizations, and is essential to good ...
This research has identified a gap in the literature surrounding the process of improving and sustai...
The aim of this review is to highlight issues in data quality research and to discuss potential res...
Data quality assurance is a central aspect of data curation, as it ensures that data are valid, reli...
State and local agencies administering programs have in their administrative data a powerful resourc...
Add to ORKG