The phrase "data clean" is both correct and usable in written English.
It can be used to describe a process of organizing and consolidating a compilation of data, often in a spreadsheet or database. For example, "I spent the day data cleaning the customer survey results."
With preservation, you want to leave the data clean".
Is the data clean and easy to analyze?
This data clean up was done by the UC Berkeley campus to avoid issues when we convert to UCPath.
The raw sequencing data, clean reads, and methylation information of each cytosine that was sequenced at least once during RRBS were provided to the authors for further analysis.
The best way to keep data clean is to use a globally known, unique identifier, or a "data backbone". My company prefers to use URLs as identifiers.
In this workshop, we'll go through how to use OpenRefine to explore your data, clean it, transform it, and prep it for further analysis or visualization work.
Inconsistency in a field's name from year to year results in extra, time consuming, post-harvest data clean-up.
The topics covered are a brief summary on the principles of EBSD, specimen preparation, calibration of an EBSD system, experiment design, speed of data acquisition, data clean-up, microstructure characterisation (including grain size) and grain boundary characterisation.
Further data clean-up necessitates the deletion of spaces, newlines etc.
An initial data clean-up stage to remove flights that went off course, and areas of the test-line where data were recorded over water.
The baseline methods consist of decoding the data using the two acoustic models provided in the REVERB Challenge: the acoustic model trained with non-reverberant data (Clean-cond).
