Previously submitted to: JMIR Medical Informatics (no longer under consideration since Dec 11, 2024)
Date Submitted: Aug 12, 2024
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Research on the Value Evaluation Model of Medical Science Data: Study Design
ABSTRACT
Background:
Background:
Open platforms have a substantial impact on the value release of medical research data. Although the development of related platforms is underway, the issue of low data value release persists.
Objective:
Objectives: The purpose of this study is to present a set of realistic and reasonable data value evaluation processes and methods for the medical science data open platform to enable it manage data and release data value.
Methods:
Methods:
This paper creates a medical science data value evaluation index system using information system success, the technological acceptability model, and consumer perceived value theory. Data is collected using a variety of platforms, and empirical analysis is performed using the entropy weight TOPSIS technique.
Results:
Results:
In this study, we constructed a medical science data value assessment index system, measured the important assessment dimensions such as intrinsic data quality, extrinsic data quality, platform service quality, and user-perceived usefulness; and constructed a medical science data value assessment model, which measured the overall low level of data value of the selected platforms.
Conclusions:
Conclusions:
The evaluation index system and evaluation model developed in this study have a scientific basis and can be utilized not only to optimize the platform's data value evaluation process, but also to increase the platform's overall data value level and encourage users to reuse data.
Citation
The author of this paper has made a PDF available, but requires the user to login, or create an account.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.