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| Research & Development |
| Removing Lab Bottlenecks |
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Reduced budgets and strained staffing require "smart" assumptions with a "kill early" mentality. Research and development laboratories need systems and procedures that can automate analytical processes, and effectively share information. With the ability to make more real-time decisions, researchers can identify and elevate promising targets, while eliminating non-viable candidates as early in the process as possible.
To associate instrument-derived data with analytical and biologically relevant information, a Laboratory Information Management Solution must work with the science behind the experiments being performed. Many of the complex methods used in research today only compound the problem of making annotations to samples, which may be several iterations away from the original sample.
A typical research laboratory workflow generates the need for links to many external files, in a multitude of formats, most of which need to be managed in real time. The techniques used generate more data. Increasing regulatory requirements concerning data management have complicated the issue further by requiring sophisticated systems for managing this information based on user privileges/roles and appropriate event auditing, while still keeping the data accessible to the scientist. |
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