Data Management

Not only is data management a pillar of responsible scientific research, it is also of critical concern to the companies outsourcing their large molecule bioanalysis. Reported results are the parameters by which to determine whether or not to proceed with a given drug candidate. If this data is not properly managed or is in any way compromised, so is the discovery. BioAgilytix understands that a comprehensive approach to data management is an essential characteristic of the optimal bioanalytical partner.

As such, we uphold the following principles of bioanalytical data management:

• Data Quality: The integrity and consistency of the analytical data outputs. Our commitment to data integrity and quality is integrally woven into our commitment to scientific excellence in our bioanalytical services. You can rest assured that you’ll receive the highest quality data as a reliable foundation for scientific decision making.

• Data Organization: The processes and procedures that are in place to collect data, the methodology utilized to store data outputs over time, and the formats in which those outputs are delivered to facilitate decision making. Understanding that data collection and storage methods are integral to discovery, our approach to data organization ensures continuity and consistency throughout every stage of development.
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• Data Protection: When it comes to the principles of data management, the security of your discovery-critical data is second to none. Security involves protecting your data from outside threats, as well as ensuring that your data remains safe and accessible to your project team at all times. We take extensive data management measures to ensure your critical data is always protected, including: