Published February 1, 2024 | Version v1
Dataset Open

Dataset - Terminology of e-Oral Health: Consensus Report of the IADR's e-Oral Health Network Terminology Task Force.

  • 1. ROR icon Riga Stradiņš University
  • 2. ROR icon Inholland University of Applied Sciences
  • 3. ROR icon University of Melbourne
  • 1. ROR icon Inholland University of Applied Sciences
  • 2. ROR icon Riga Stradiņš University
  • 3. ROR icon University of Melbourne
  • 4. ROR icon University of Sydney
  • 5. ROR icon Charité - Universitätsmedizin Berlin
  • 6. ROR icon Université de Montpellier

Description

README
====================
This repository contains the data and documentation for a research project. It includes the dataset,
which is provided in CSV format and the original PDF with the survey answers.

Research Information
====================
Terminology of e-Oral Health: Consensus Report of the IADR’s e-Oral Health Network Terminology
Task Force. Authors reported multiple definitions of e-oral health and related terms, and used several definitions
interchangeably, like mhealth, teledentistry, teleoral medicine and telehealth. The International
Association of Dental Research e-Oral Health Network (e-OHN) aimed to establish a consensus on
terminology related to digital technologies used in oral healthcare.

This dataset contains data from a survey about digital oral health. The survey asked participants to provide their definition of various terms related to digital oral health, as well as their agreement with the provided definitions. The dataset also includes three figures that the participants were asked to review.

The purpose of this dataset is to collect data on the public's understanding of digital oral health terms and to identify areas where there may be confusion or misinterpretation. The data from this dataset could be used to develop educational materials or to improve the way that digital oral health information is communicated to the public.

Additional notes
====================
The data is not currently cleaned or preprocessed.

Dataset
====================
The dataset file, named "dataset.csv," is in this repository. It contains the raw anonymized data
collected from the participants in a structured format. Each row represents a respondent, and the
columns correspond to different variables.

Codebook
====================
The codebook file, named "codebook.pdf," is also included in this repository. It provides a
comprehensive description of the variables present in the dataset. The codebook outlines each
variable's meaning, type, and possible values, allowing users to understand and analyze the data
effectively.

Metadata
====================
No metadata is provided

Files
====================
01_readme.txt this readme file
02_codebook.pdf The codebook of the dataset
03_dataset.csv The dataset in csv format
04_e-OHN Delphi (2023-02-03).pdf The output from the survey

Usage
====================
To work with the dataset, you can download the "dataset.csv" file and import it into your preferred
software or programming language for analysis. The codebook provides valuable information about
the variables, allowing you to understand the data structure and make informed decisions during your
analysis.
Please note that while every effort has been made to ensure the accuracy and quality of the data, it is
important to review the codebook and understand the context of the research before concluding the
dataset.

License
====================
The data and documentation in this repository are provided under the CC BY-SA.
This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. If you remix, adapt, or build upon the material, you must license the modified material under identical terms. CC BY-SA includes the following elements:

 BY: credit must be given to the creator.
 SA: Adaptations must be shared under the same terms.
 
Please refer to the license file for further details on how the data can be used and shared.

Contact Information
====================
For any questions, clarifications, or inquiries related to the dataset or research project, please contact
Assoc Prof Dr Sergio Uribe, sergio.uribe@rsu.lv

Files

01_readme.txt

Files (1.5 MB)

Name Size Download all
md5:4861eaf28306264d46b80735b00fd9e0
3.7 kB Preview Download
md5:8edee01ee35ee4ac3956b8d06f064589
679.7 kB Preview Download
md5:60c66fd1c1d18e9670d9bb70171c1493
57.8 kB Preview Download
md5:c26f5ce9359d560f7cd4b612d0e3fe66
788.4 kB Preview Download

Additional details

Related works

Documents
Preprint: 10.21203/rs.3.rs-2802188/v1 (DOI)
Publication: 10.1186/s12903-024-03929-z (DOI)

Funding

European Commission
BBCE – Baltic Biomaterials Centre of Excellence 857287