Analysis of data dictionary formats of HIV clinical trials.

ABSTRACT:

Background

Efforts to define research Common Data Elements try to harmonize data collection across clinical studies.

Objective

Our goal was to analyze the quality and usability of data dictionaries of HIV studies.

Methods

For the clinical domain of HIV, we searched data sharing platforms and acquired a set of 18 HIV related studies from which we analyzed 26 328 data elements. We identified existing standards for creating a data dictionary and reviewed their use. To facilitate aggregation across studies, we defined three types of data dictionary (data element, forms, and permissible values) and created a simple information model for each type.

Results

An average study had 427 data elements (ranging from 46 elements to 9 945 elements). In terms of data type, 48.6

SUBMITTER: Mayer CS 

PROVIDER: S-EPMC7535029 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature