data accuracy: OpenTox provides data quality assessment by assessing validation labels to included data (e.g. 2D chemical structures).
Data management requires not only data quality assessment but also high-quality datasets obtained by data cleaning or other technologies.
Data quality assessment, pre-processing, normalization and data analyses were carried out using functions from the 'limma' package of the R software available from Bioconductor (29, 30).
Brown JS, Kahn M, Toh S. Data quality assessment for comparative effectiveness research in distributed data networks.
Data quality assessment was then performed following the guidance in Affymetrix data analysis fundamentals manual.
Data quality assessment prior to this study [ 19– 21] assured high data quality, epidemiological relevance, and reliable and valid survival estimates.
S.H., J.S.H. and M.G. contributed data, supported the data quality assessment and were involved in writing the Methods and Technical Validation sections.
Even worse, perhaps, is the lack of tools suitable for a cost data quality assessment and management.
The standard two-microphone method is widely used to estimate acoustic impedance but does not provide uncertainty estimates that are essential for data quality assessment and model validation.
The measurement uncertainties for this technology are still not well understood though it is essential for data quality assessment and model validation.
Almost none of such papers include data cleaning and data quality assessment in their study design despite this being a very critical step during data mining.
