Sentence examples for data challenges in the from inspiring English sources

After the introduction, Section "Motivation" provides the motivation for our work and sets it in context to the broader view on scientific data challenges in the next couple of years.

With the insights from these tests we are able to complete the imaging pipeline processing on both the HPC platform and also on the cloud computing platform, which paves the way for meeting big data challenges in the era of SKA in the field of Radio Astronomy.

However, the lack of a specific database for cancer secretome data challenges researchers in the field to query community knowledge in terms of the time and efficiency.

However, there is an increasing demand for high-performance bioinformatics solutions that can help to address the various data processing and data interpretation challenges in the field [18 20].

In this work we present data access challenges in the data-intensive petroleum company Statoil and our experience in addressing these challenges with OBDA technology.

The literature review findings suggest that geospatial information could play an important role in overcoming the aforementioned data challenges and in strengthening the capabilities of governments and agencies that are tasked with analyzing and reporting on the SDGs.

Two very recent studies based on new data challenge the finding in the fourth cell that world PPP-income distribution weighted by countries' population shows little change over the past few decades.

In addition, the data challenge the idea that the accumulation of gal-1P in development causes long-term complications in the disease.

Although the Illumina 1 G Genome Analyzer generates billions of base pairs of sequence data, challenges arise in sequence selection due to the varying sequence quality.

Some of the data challenges are minimized in this study because the Mayo Clinic maintains a robust data system and comprehensive electronic medical records that collect demographic, medical utilization, and comorbidity health data.

Collecting and sharing of donor data are challenging in the absence of linked, unique identifying information for each donor (e.g., donor identification number) (25 ) and centralized data sharing systems.