TY - GEN
T1 - Data standard ≠ data quality
AU - Nahm, Meredith
AU - Hammond, W. Ed
N1 - Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - Clinical informatics
KW - Clinical research informatics
KW - Data standards
KW - data quality
KW - information quality
UR - http://www.scopus.com/inward/record.url?scp=84894296911&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84894296911&partnerID=8YFLogxK
U2 - 10.3233/978-1-61499-289-9-1208
DO - 10.3233/978-1-61499-289-9-1208
M3 - Conference contribution
C2 - 23920982
AN - SCOPUS:84894296911
SN - 9781614992882
T3 - Studies in Health Technology and Informatics
SP - 1208
BT - MEDINFO 2013 - Proceedings of the 14th World Congress on Medical and Health Informatics
PB - IOS Press
T2 - 14th World Congress on Medical and Health Informatics, MEDINFO 2013
Y2 - 20 August 2013 through 23 August 2013
ER -