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Accuracy in Dental Medicine, A New Way to Measure Trueness and Precision
Published on: April 29, 2014
13.5K
Dental Research Data Availability and Quality According to the FAIR Principles
S E Uribe1,2,3,4, A Sofi-Mahmudi5,6, E Raittio7
1Bioinformatics Lab, Riga Stradins University, Riga, Latvia.
Journal of Dental Research
|June 3, 2022
Summary
Dental researchers rarely share data, with only 1.5% of studies doing so. When shared, the data
Area of Science:
- Dental research
- Data science
- Scientific reproducibility
Background:
- The FAIR principles (Findable, Accessible, Interoperable, Reusable) are crucial for scientific data.
- There's a lack of assessment on the FAIRness of dental research data.
- Ensuring data is FAIR enhances its utility, especially for machine learning.
Purpose of the Study:
- To quantify open data availability in dental research.
- To evaluate the compliance of shared dental data with FAIR principles.
- To assess trends in dental data sharing and FAIRness over time.
Main Methods:
- Downloaded open access dental articles from Europe PubMed Central (2016-2021).
- Randomly sampled 500 non-open access dental articles.
- Programmatically assessed data sharing and FAIR compliance for 7,509 articles.
Main Results:
- Only 1.5% (112/7,509) of investigated dental articles shared data.
- Average FAIR compliance was suboptimal at 32.6% (SD 31.9%).
- Findability, accessibility, interoperability, and reusability metrics were all low, with no significant improvement over the years.
Conclusions:
- Dental research data sharing is very limited.
- Shared dental data exhibits poor adherence to FAIR principles.
- Low data sharing and FAIRness hinder research reproducibility and machine learning applications in dentistry.
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