Several techniques were used to enable a systematic and transparent process of data collection and analyses.
Scoping reviews follow many of the same methodological steps as systematic reviews [ 13- 15], as the use of rigorous and transparent methods for data collection, analysis and interpretation remains essential to enhance reliability of results and the potential for replication.
Last week, Mozilla published its Firefox user data in an effort to be more transparent with its telemetry data collection.
Firstly, much of the data focus on the Global Fund, which is present in all seven countries and has transparent processes, which made data collection easier.
This transparent logistic process of data collection, data transportation and data file construction reduces the risk of mistakes, missing data and contributes to the quality of the data [ 74].
The scoping review used a team approach to ensure that the data collection process was transparent and replicable.
Despite being compatible with a wide pH range, the buffer used must be transparent in the far-UV and data collection is also slow.
Furthermore, because we focused on the Internet as the only source of information, we ensured that the process of data collection was as transparent, systematic and unbiased as possible.
Three principles will be followed to make the data collection process accessible and transparent for review.
Transparent reporting of the study populations, methods of data collection, analytic methods, and study inferences may help readers better identify issues that can affect the reproducibility of genetic association studies.
The procedures used for data collection and analysis were rigorous and transparent, and the data interpretation was reached by consensus among the research team.
