Translational Cancer Research Data Quality – The Context Factor

Orreggio, Giordi
2017-08
Thumbnail Image

View/Download File

Orreggio_umn_0130E_18542.pdf (1.18 MB)

Persistent link to this item

https://hdl.handle.net/11299/191477
Statistics
View Statistics

Journal Title

Journal ISSN

Volume Title

Title

Translational Cancer Research Data Quality – The Context Factor

Authors

Published Date

2017-08

Publisher

Type

Thesis or Dissertation

Abstract

Cronbach’s alpha indicates that as the count of items in a set increases, so does the level of relationship between them. Translational cancer research (TCR) data is an example of increasing items within a set. As a national priority, TRC is well-funded contributing to continued increase in data organizations produce, the number of organizations producing data, and the amount of sharing in which each organization participates. However, rather than leveraging the data relationships – a contextual approach – intrinsic measures such as accuracy and completeness remain referenced most often in data quality (DQ) articles and conceptual frameworks. The purpose of this set of studies is to expand our knowledge of TCR data quality (DQ) by examining context-sensitive DQ methods. The knowledge gained could be incorporated into future TCR DQ efforts, leading to more informative and actionable data, and quicker development of better clinical treatments.

Keywords

Description

University of Minnesota Ph.D. dissertation. August 2017. Major: Health Informatics. Advisor: Stuart Speedie. 1 computer file (PDF); vi, 80 pages.

Related to

Replaces

License

Collections

Dissertations

Series/Report Number

Funding information

Isbn identifier

Doi identifier

Previously Published Citation

Suggested citation

Orreggio, Giordi. (2017). Translational Cancer Research Data Quality – The Context Factor. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/191477.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.