Sentence examples for data collection becomes from inspiring English sources

As the number of monitored servers grow, data collection becomes increasingly challenging.

Moreover, this data collection becomes more extensive with time and is continually refined as new information confirms or excludes a diagnosis in a given individual.

**Distinct mapped variants The Ensembl variation resources are updated when a new genome assembly is released, a new set of gene annotations is available or revised, an external data source such as dbSNP at the NCBI is updated or a major new data collection becomes available.

We anticipate that, as data collection becomes embedded in clinical practice, the data set will expand over time to encompass other tools that will assist rehabilitation clinicians to improve the quality of patient care, including an expanded range of self-report measures to evaluate the longer impact of rehabilitation on their daily lives.

Indifference and inaction toward data collection become a lot more absurd.

In recent years, mixed mode designs for data collection became increasingly popular.

As these methods of data collection become more reliable, the ability to capture real-time information-process determinants will help build more accurate models of change.

Many of these barriers were mentioned during our interviews, particularly staff concerns about offending patients or causing them psychological discomfort, but these concerns generally subsided as data collection became routine.

We expect that XHSD can serve as a practical tool for xor-haplotyping on real-world large instances, as the large data collections become more available in the era of next-generation DNA sequencing.

However, it is important to recognise that as they and other electronic health data collections become more numerous and access to them is extended to more people, there is an increasing likelihood of accidental or deliberate breaches of confidentiality, possibly on a large scale.

In settings where demographic and health data are notoriously scarce, but there is a broad range of ascertainable ecological, environmental, epidemiological and socioeconomic information, a diverse toolkit of data collection strategies becomes relevant for the mainly small-area impacts of interest.