Assurance of data integrity, security, and privacy, as required by regulators and essential for industry, is becoming more difficult for today’s bioanalytical laboratory.
This challenge is compounded by the growing size and complexity of typical datasets, which have expanded to include multiple analytical techniques, and span geographies, regulatory frameworks, and business models. It is more important than ever that laboratory and information technology managers be proactive to organize, secure, and protect their data.
Read this whitepaper to discover:
Issues arising from not assuring data integrity
How to minimize data risks whilst maintaining efficiency
Policies and procedures for maintaining data integrity
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