Which of the following are common principles of good IH data management and documentation?

• A. Clear data records
• B. Proper labeling
• C. Chain-of-custody
• D. All of the above

Answer: (D)

Clear data records, proper labeling, and chain-of-custody work together to protect data integrity from collection through analysis. Clear data records mean the data are unambiguous and complete—every entry should have the context needed to understand and reproduce it, including sample IDs, methods used, units, detection limits, and timestamps. Proper labeling ensures each sample, container, and data file is uniquely identified and carries essential context (who collected it, when, where, and how). Chain-of-custody documents every handoff and handling step—who accessed the sample or data, when, and for what purpose—creating an auditable trail that supports accountability and regulatory or legal defensibility. When these practices are used together, errors from misidentification, lost information, or untraceable handling are greatly reduced, making it easier to validate results, reproduce analyses, and respond to inquiries or inspections. In daily practice, implement standardized forms and templates for data entry, strict labeling protocols, and a clear custody log to ensure a seamless, auditable data management process.