This survey includes basic demographic data from 101
respondents. Columns A-D correspond to timestamp and basic demographic data
from 101 respondents (age, profession, and region where their research and/or
work was conducted). Columns E- N contain participant's answers to their
beliefs on the causes of age-related hearing loss. Specifically columns E-N
contain answers rated from ‘least likely’ to ‘most likely’ (on a scale 1 to 4,
with 4 being ‘most likely’). The survey can be found at (https://forms.gle/GPreoePmRxBBkchc7
) and a pdf version can be found in the attached dataset (age-related_hearing_loss_survey.pdf).
Research Project ID179652194
- Institutional review completed
FAIR Self Assessment SummaryThis text has been generated from a tool that has been adapted from the ARDC FAIR Assessment Tool
Does the dataset have any identifiers assigned?
Is the dataset identifier included in all metadata records/files describing the data?
How is the data described with metadata?
Comprehensively (see suggestion) using a recognised formal machine-readable metadata schema
What type of repository or registry is the metadata record in?
Data is in one place but discoverable through several registries
How accessible is the data?
Is the data available online without requiring specialised protocols or tools once access has been approved?
Non-standard web service (e.g. OpenAPI/Swagger/Informal API
Will the metadata record be available even if the data is no longer available?
What (file) format(s) is the data available in?
In a structured, open standard, machine-readable format
What best describes the types of vocabularies/ontologies/tagging schemas used to define the data elements?
Standardised vocabularies/ontologies/schema without global identifiers
How is the metadata linked to other data and metadata (to enhance context and clearly indicate relationships)?
The metadata record includes URI links to related metadata, data and definitions
Which of the following best describes the license/usage rights attached to the data?
Standard machine-readable license (e.g. Creative Commons)
How much provenance information has been captured to facilitate data reuse?
Fully recorded in a text format
FAIR Self Assessment Rating4 Stars