A Web-Based Tool to Evaluate Data Quality of Reused Health Data Assets.

Clicks: 302
ID: 53096
2017
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Popular

Ranked #46 of 170 articles by views in Studies in health technology and informatics

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 170 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Data from the health care domain is often reused to create and parameterize simulation models for example to support life science business in the evaluation of new products. Data quality assessments play an important part to help model users in interpreting simulation results by showing deficiencies in the raw data used in the model building and offers model builders a comparison of data quality amongst the used data assets.Assess data quality in raw data prior to creating simulation models and prepare results for model users.Using a literature review and documentation of previous models created, we searched data quality criteria. For eligible criteria we formulated questions and viable answers to be used in a questionnaire to assess data quality of a data asset.We developed a web tool to evaluate data assets using a generic data model. Percentage results are visualized using a radar chart.Data quality assessment with questionnaires offers model builders a framework to critically analyse raw data and to detect deficiencies early in the modelling process. The summarized results can help model users to better interpret simulation results.
Reference Key
wendl2017astudies Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Wendl, Christopher;Duftschmid, Georg;Gezgin, Deniz;Popper, Niki;Miksch, Florian;Rinner, Christoph;
Journal Studies in health technology and informatics
Year 2017
DOI
DOI not found
URL URL not found
Keywords
data quality computer simulation secondary use

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.