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Such architectures pose significant new data management challenges.
Among data management challenges, creating workflow solutions for timely delivery of molecular data has become pivotal.
Data management challenges arising from different segments of the aerospace business are identified through illustrative scenarios.
Though related to clinical information technology, clinical research information technology poses its own set of data management challenges that are unique.
In 2001, Laney [6] described three-dimensions of data management challenges.
Here we summarize the data management challenges in typical MS applications.
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For many like Anna – it's a 7/24 data management challenge that's both lifelong and life threatening.
It is a structured programming framework which makes use of the programming philosophy of MapReduce to solve the data management challenge of NGS by separating data access patterns from analysis algorithms.
Microarray data, by its sheer volume, presents interesting laboratory information management challenges.
The survey was also designed to determine how various organizations are using microarray technology to evaluate the safety of chemicals and drugs regarding public health and regulatory assessment, the types of applications both in vivo and in vitro, the resources required, and the data-management challenges and solutions.
As straightforward as this may sound, though, it's a massively complicated data-management challenge.
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