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"Collaborative data familiarisation and quality assessment: Reflections" by John A. Woods, Claire E. Johnson et al.

Background: Data quality is fundamental to the integrity of quantitative research. The role of external researchers in data quality assessment (DQA) remains ill-defined in the context of secondary use for research of large, centrally curated health datasets. In order to investigate equity of palliative care provided to Indigenous Australian patients, researchers accessed a now-historical version of a national palliative care dataset developed primarily for the purpose of continuous quality improvement. Objectives: (i) To apply a generic DQA framework to the dataset and (ii) to report the process and results of this assessment and examine the consequences for conducting the research. Method: The data were systematically examined for completeness, consistency and credibility. Data quality issues relevant to the Indigenous identifier and framing of research questions were of particular interest. Results: The dataset comprised 477,518 records of 144,951 patients (Indigenous N = 1515; missi ....

Australia , Australian , Indigenous-australian , Aboriginal , Data-accuracy , Atasets-as-topic , Health-information-management , Ceanic-ancestry-group , Alliative-care , Research-personnel , ஆஸ்திரேலியா