The “10 Commandments” of data integrity aren’t officially designated rules, but the term is often used to describe essential principles that organizations should follow to ensure the accuracy, consistency, and reliability of their data throughout its lifecycle. These principles are crucial in various sectors, especially in the data center.
Here’s a distilled list of the 10 Commandments of Data Integrity:
- Accuracy: Data should be recorded precisely and reflect the collected information without any discrepancies.
- Legibility and Traceability: All data entries should be clear, legible, and enduring. Every data modification should be traceable to the person making the change.
- Completeness: All data, including any data related to follow-up actions, must be recorded and maintained to ensure a complete set of data.
- Consistency: The data should be internally consistent in terms of dates, time, and context of the data lifecycle.
- Timeliness: Data should be recorded or captured exactly at the moment of action or observation, ensuring that it accurately reflects the real-world scenario it represents.
- Validity: Data should be recorded following predefined protocols and rules to ensure it meets the standards for quality and compliance.
- Security: Data must be secure from unauthorized access but available to authorized personnel. This includes robust access controls and encryption methods.
- Durability: Records should be durable and preserved in a format that’s accessible for the entire retention period, even in the face of system upgrades or other changes.
- Auditability: An auditable trail that shows who has accessed the data and what changes have been made is critical. This trail should be secure and uneditable.
- Transparency and Accountability: Processes involving data handling and management should be transparent, and responsibilities should be clearly defined. Every stakeholder should understand their role in maintaining data integrity.
MCIM’s platform is designed to adhere to the essential principles of data integrity, ensuring the accuracy, consistency, and reliability of data throughout its lifecycle. This adherence is crucial for informed decision-making, compliance with regulatory requirements, and achieving operational efficiency in data center management.
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Images in this article were partially generated by an AI system and should be used for informational purposes only.
