Data standard ≠ data quality.
Publication
, Journal Article
Nahm, M; Hammond, WE
Published in: Stud Health Technol Inform
2013
The relationship between data quality and data standards has not been clearly articulated. While some directly state that data standards increase data quality, others claim the opposite. Depending on the type of data standard and the aspects of data quality considered, both arguments may in fact be correct. We deconstruct a typology of data standards and ap ply a dimensional definition of data quality to clearly articulate the relationship between the two, providing a framework for data quality planning.
Duke Scholars
Published In
Stud Health Technol Inform
EISSN
1879-8365
Publication Date
2013
Volume
192
Start / End Page
1208
Location
Netherlands
Related Subject Headings
- United States
- Quality Control
- Medical Informatics
- Meaningful Use
- Guidelines as Topic
- Databases, Factual
- 4601 Applied computing
- 4203 Health services and systems
- 1117 Public Health and Health Services
- 0807 Library and Information Studies
Citation
APA
Chicago
ICMJE
MLA
NLM
Nahm, M., & Hammond, W. E. (2013). Data standard ≠ data quality. Stud Health Technol Inform, 192, 1208.
Nahm, Meredith, and W Ed Hammond. “Data standard ≠ data quality.” Stud Health Technol Inform 192 (2013): 1208.
Nahm M, Hammond WE. Data standard ≠ data quality. Stud Health Technol Inform. 2013;192:1208.
Nahm, Meredith, and W. Ed Hammond. “Data standard ≠ data quality.” Stud Health Technol Inform, vol. 192, 2013, p. 1208.
Nahm M, Hammond WE. Data standard ≠ data quality. Stud Health Technol Inform. 2013;192:1208.
Published In
Stud Health Technol Inform
EISSN
1879-8365
Publication Date
2013
Volume
192
Start / End Page
1208
Location
Netherlands
Related Subject Headings
- United States
- Quality Control
- Medical Informatics
- Meaningful Use
- Guidelines as Topic
- Databases, Factual
- 4601 Applied computing
- 4203 Health services and systems
- 1117 Public Health and Health Services
- 0807 Library and Information Studies