The data lifecycle refers to the stages that data goes through from its creation or acquisition to its eventual disposal or archiving. It encompasses the entire process of managing data, including creation, storage, usage, analysis, archiving, and deletion. Different organizations may define specific stages within this lifecycle based on their needs and data types.
Research Data Lifecycle. Adapted from UK Data Service Model 2017. Source Queensland University of Technology, Advanced Information Research Skills
Data Creation and Collection – Data is generated or gathered from sources like applications, sensors, or users.
Data Processing and Preparation – Collected data is cleaned, validated, and formatted for use.
Data Storage – Processed data is securely stored for future access and use.
Data Management – Data is organised, catalogued, and access-controlled to ensure usability.
Data Analysis and Interpretation – Data is analysed using various techniques to extract insights.
Data Visualization and Communication – Findings are visualised and shared to inform decision-making.
Data Archiving – Older data is moved to long-term storage to free up resources.