De-identified data quality assessment approaches by data vendors who license data to healthcare and life sciences researchers.

ABSTRACT:

Objective

To gain insights into how data vendor companies (DVs), an important source of de-identified/anonymized licensed patient-related data (D/ALD) used in clinical informatics research in life sciences and the pharmaceutical industry, characterize, conduct, and communicate data quality assessments to researcher purchasers of D/ALD.

Materials and methods

A qualitative study with interviews of DVs executives and decision-makers in data quality assessments (n = 12) and content analysis of interviews transcripts.

Results

Data quality, from the perspective of DVs, is characterized by how it is defined, validated, and processed. DVs identify data quality as the main contributor to successful collaborations with life sciences/pharmaceutical research partners. Data

SUBMITTER: Erwin Johnson C 

PROVIDER: S-EPMC9629893 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature