By Topic

Measuring Data Management Practice Maturity: A Community's Self-Assessment

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Peter Aiken ; Virginia Commonwealth University/Institute for Data Research ; M. David Allen ; Burt Parker ; Angela Mattia

As increasing amounts of data flow within and between organizations, the problems that can result from poor data management practices are becoming more apparent. Studies have shown that such poor practices are widespread. All organizations have data architectures, whether explicitly documented or implicitly assumed. An important data management process is to document the architecture's capabilities, making it more useful to the organization. Increasing data management practice maturity levels can positively impact the coordination of data flow among organizations, individuals, and systems. Results from a self-assessment provide a roadmap for improving organizational data management practices

Published in:

Computer  (Volume:40 ,  Issue: 4 )