نتایج جستجو برای: data quality

تعداد نتایج: 2961014  

2000
Frank H. Millard Mike Lavoie

The experience of how GDPH develop information product maps for birth certificate and death certificate processes is presented. Significant information quality issues specific to vital records are also illustrated.

Journal: :Computer Methods and Programs in Biomedicine Update 2021

Journal: :Jurnal Sistem Informasi 2019

2003
Georgios P. Papamichail Ioannis P. Antoniadis

This paper discusses information quality issues concerning consumer data assimilated by telecommunication companies (telcos) in regional and global ventures. First, it describes various problematic and evolving environmental constraints that necessitate the adoption of new integration technologies. Then, it describes the consumer information characteristics and demonstrates that they require ha...

Journal: :JASIST 2012
Hong Huang Besiki Stvilia Corinne Jörgensen Hank W. Bass

The rapid accumulation of genome annotations, as well as their widespread reuse in clinical and scientific practice, poses new challenges to management of the quality of scientific data. This study contributes towards better understanding of scientist perception and priorities for data quality and data quality assurance skills needed in genome annotation. Our study was guided by a previously de...

2008
Roger H. Blake Paul Mangiameli

Data quality remains a persistent problem in practice and a challenge for research. In this study we focus on four of the most important dimensions of data quality accuracy, completeness, consistency, and timeliness. Definitions and conceptual models for these dimensions have not been collectively considered with respect to data mining in general and a key determinant of data mining outcomes, p...

2007
Kristin Wende Boris Otto

Enterprises need data quality management (DQM) to respond to strategic and operational challenges demanding high-quality corporate data. Hitherto, companies have assigned accountabilities for DQM mostly to IT departments. They have thereby ignored the organizational issues that are critical to the success of DQM. With data governance, however, companies implement corporate-wide accountabilities...

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