S Leyk, AE Gaughan, SB Adamo… - Earth System …, 2019 - essd.copernicus.org
Population data represent an essential component in studies focusing on human–nature interrelationships, disaster risk assessment and environmental health. Several recent efforts …
C Cichy, S Rass - Ieee Access, 2019 - ieeexplore.ieee.org
Nowadays, the importance of achieving and maintaining a high standard of data quality is widely recognized by both practitioners and researchers. Based on its impact on …
RR Nelson, PA Todd, BH Wixom - Journal of management …, 2005 - Taylor & Francis
Understanding the successful adoption of information technology is largely based upon understanding the linkages among quality, satisfaction, and usage. Although the satisfaction …
DGT Arts, NF De Keizer… - Journal of the American …, 2002 - academic.oup.com
Over the past years the number of medical registries has increased sharply. Their value strongly depends on the quality of the data contained in the registry. To optimize data …
J Wang, J Han - Proceedings. 20th international conference on …, 2004 - ieeexplore.ieee.org
Previous studies have presented convincing arguments that a frequent pattern mining algorithm should not mine all frequent patterns but only the closed ones because the latter …
Many countries around the world are investing a great amount of resources in government IT initiatives. However, few of these projects achieve their stated goals and some of them are …
Purpose: The technological developments have implied that companies store increasingly more data. However, data quality maintenance work is often neglected, and poor quality …
S Knight, J Burn - Informing Science, 2005 - inform.nu
The rapid growth of the Internet as an environment for information exchange and the lack of enforceable standards regarding the information it contains has lead to numerous …
MG Kahn, MA Raebel, JM Glanz, K Riedlinger… - Medical care, 2012 - journals.lww.com
Methods: We propose a “fit-for-use” conceptual model for data quality assessment and a process model for planning and conducting single-site and multisite data quality …