Sentence examples for data handling process from inspiring English sources

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The data handling process workflow of our biobank infrastructure is outlined in Fig. 4, where the 384 robotic processing plays a central role in the overall handling of patient samples.

Furthermore, incomplete data update is made in an iterative manner so that our incomplete data handling process is optimized along with the optimization of the clustering process for better clusters with an approximation of incomplete data.

However, the integrative data access approach involves a more complex data handling process.

The professional NIHDI number of participating GPs number is used for the data collection and coded by similar procedures during the data handling process, making re-identification of the health care professional impossible.

The results indicate that the method was able to assess and define the quality of an alignment process without any subjective interference of the analyst, making the method a valuable contribution to the data handling process of chromatography-based metabolomics data.

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Figure 3 shows key steps in data handling processes.

Fig. 3 Key steps in data handling processes in Lukač et al. approach (2013).

Modern vessels are designed to collect, store and communicate large quantities of ship performance and navigation information through complex onboard data handling processes.

Sure, some US companies might prefer to swallow the hassle and expense of fragmenting their data handling processes, and treating personal data obtained from different geographies differently, i.e. rather than streamlining everything under a GDPR compliant process.

Every data misuse scandal shines a bit more light on some very murky practices — which will hopefully generate momentum for rule changes to disinfect data handling processes and strengthen individuals' privacy by spotlighting trade-offs that have zero justification.

As we wrote in January in our GDPR explainer: "[S]ome US companies might prefer to swallow the hassle and expense of fragmenting their data handling processes… But doing so means managing multiple data regimes.

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