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Data source triangulation was used to enhance the trustworthiness of the data.
Triangulation, reference group checking and peer debriefing were conducted to improve the trustworthiness of the data.
Veracity refers to the trustworthiness of the data in Big Data.
By collecting data through different instruments, it was possible to establish the trustworthiness of the data.
Having a clear audit trail can improve the trustworthiness of the data as well as of the models and also provide a clear route to trace back the machine decision process, i.e., where data are coming from, who wrote the original algorithm, what data was used for training, etc.
While general techniques regarding data-driven research have their own problems with respect to privacy protection (see e.g., [19]), an additional major problem for the doctor in the loop lies in guaranteeing the trustworthiness of the data provided by other entities and by analysis workflows.
Similar(25)
As a result, in order to reliably use data collected from a WSN assessing the trustworthiness of the collected data is critical.
Many researchers utilize the concept of trust to assess the trustworthiness of the received data.
Provenance is critical for assessing the trustworthiness of the received data, diagnosing network failures, detecting early signs of attacks, etc.
The question is the trustworthiness of the underlying data and execution chains, especially considering manipulation, e.g., in the aftermath of a wrong treatment: In case of errors on the doctor side, he/she could try to cover the tracks by changing the wrongful data that led to the treatment.
The trustworthiness of the qualitative data and interpretation was checked by peers informally reading this manuscript.
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