Reprint. "1063-6382/93 $03.00 1993 IEEE."--P. 670. "April 1993."HD28 .M414 no.3769-, 95,
The body of knowledge on data and information quality is highly diversified, primarily due to the cr...
Research data, associated data models and data transformations are often subject to continuous chang...
Requirements engineering (RE) is concerned with the identification of stakeholders ' needs conc...
Reprint. "1063-6382/93 $03.00 1993 IEEE."--P. 670. "April 1993."Includes bibliographical references ...
Data is the most important asset of any IT organization. The most successful companies of the world ...
The application of Industrial Data Science in context of connected Smart Products requires modeling ...
International Conference on Digital Information Management (ICDIM 2016). 19 to 21, Sep, 2016. Porto,...
Since the mid 1980s, the Idaho National Laboratory (INL) has been involved with numerous projects to...
This document deals with data quality in Digital Libraries of Scores (DSL). Data quality management ...
The issue of data quality is as old as data itself. However, the proliferation of diverse, large-sca...
Purpose: The technological developments have implied that companies store increasingly more data. Ho...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, 1996.Includes bi...
Data Quality is, in essence, understood as the degree to which the data of interest satisfies the re...
MEng (Computer and Electronic Engineering), North-West University, Potchefstroom CampusThe digital u...
Data quality has been an active area of information systems research, particularly in the 1990s. For...
The body of knowledge on data and information quality is highly diversified, primarily due to the cr...
Research data, associated data models and data transformations are often subject to continuous chang...
Requirements engineering (RE) is concerned with the identification of stakeholders ' needs conc...
Reprint. "1063-6382/93 $03.00 1993 IEEE."--P. 670. "April 1993."Includes bibliographical references ...
Data is the most important asset of any IT organization. The most successful companies of the world ...
The application of Industrial Data Science in context of connected Smart Products requires modeling ...
International Conference on Digital Information Management (ICDIM 2016). 19 to 21, Sep, 2016. Porto,...
Since the mid 1980s, the Idaho National Laboratory (INL) has been involved with numerous projects to...
This document deals with data quality in Digital Libraries of Scores (DSL). Data quality management ...
The issue of data quality is as old as data itself. However, the proliferation of diverse, large-sca...
Purpose: The technological developments have implied that companies store increasingly more data. Ho...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, 1996.Includes bi...
Data Quality is, in essence, understood as the degree to which the data of interest satisfies the re...
MEng (Computer and Electronic Engineering), North-West University, Potchefstroom CampusThe digital u...
Data quality has been an active area of information systems research, particularly in the 1990s. For...
The body of knowledge on data and information quality is highly diversified, primarily due to the cr...
Research data, associated data models and data transformations are often subject to continuous chang...
Requirements engineering (RE) is concerned with the identification of stakeholders ' needs conc...