Broadly
Data collection and management refers to the acquisition, organization, quality control, and maintenance of datasets used in risk analysis. Whether collecting new data via surveys and sensors, or structuring legacy datasets, this method ensures that data are traceable, reliable, and fit for purpose. The method is foundational to all quantitative and many qualitative risk assessments. Key considerations include metadata standards, confidentiality, and long-term usability.
More specifically
RSI designs and implements data collection strategies aligned with scientific and regulatory requirements. Its staff are experienced in digital tool deployment, structured interviewing, and environmental sampling protocols. On the management side, RSI applies validation procedures, version control, and secure access standards to ensure integrity and reusability. This method is embedded in nearly all RSI projects and supports sound interpretation and communication of risk evidence.