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The D2Refine Platform for the Standardization of Clinical Research Study Data Dictionaries: Usability Study
Deepak Kumar Sharma1, Kevin Jerrold Peterson1, Na Hong1
1Department of Health Sciences Research, Mayo Clinic, Rochester, MN, United States.
JMIR Human Factors
|July 27, 2018
Summary
D2Refine demonstrates superior usability for creating and standardizing clinical research data dictionaries. This web-based platform outperformed competitors in function saturation and user preference, highlighting its potential for research data management.
Area of Science:
- Clinical research informatics
- Data management and standardization
Background:
- D2Refine offers a web-based environment for creating clinical research data dictionaries.
- It enables standardization and harmonization of variable definitions using controlled terminology.
Purpose of the Study:
- To assess the usability of D2Refine's functions.
- To compare D2Refine's usability against OntoMaton and RightField.
Main Methods:
- Employed the TURF (task, user, representation, and function) Usability Framework.
- Conducted function and task analyses through interviews and participant task completion.
- Performed quantitative analyses comparing D2Refine against two comparable solutions.
Main Results:
- D2Refine achieved 96% function saturation, exceeding OntoMaton (92%) and RightField (68%).
- A significant difference in favorability was found for D2Refine (P<.001).
- 63% of participants preferred D2Refine over the other two solutions.
Conclusions:
- D2Refine is a promising platform for clinical research data dictionary standardization.
- Its usability supports emerging needs in harmonizing research data definitions.
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