Open AccessData quality assurance and control in cognitive research: Lessons learned from the PREDICT‐HD study
Author(s) -
Westervelt Holly James,
Bernier Rachel A.,
Faust Melanie,
Gover Mary,
Bockholt H. Jeremy,
Zschiegner Roland,
Long Jeffrey D.,
Paulsen Jane S.
Publication year - 2017
Publication title -
international journal of methods in psychiatric research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.275
H-Index - 73
eISSN - 1557-0657
pISSN - 1049-8931
DOI - 10.1002/mpr.1534
Subject(s) - cognition , observational study , quality assurance , quality (philosophy) , control (management) , psychology , huntington's disease , cognitive psychology , disease , clinical psychology , medicine , computer science , artificial intelligence , psychiatry , pathology , philosophy , epistemology , external quality assessment
We discuss the strategies employed in data quality control and quality assurance for the cognitive core of Neurobiological Predictors of Huntington's Disease (PREDICT‐HD), a long‐term observational study of over 1,000 participants with prodromal Huntington disease. In particular, we provide details regarding the training and continual evaluation of cognitive examiners, methods for error corrections, and strategies to minimize errors in the data. We present five important lessons learned to help other researchers avoid certain assumptions that could potentially lead to inaccuracies in their cognitive data.