# data life cycle ## Definition(s) ### [[Nexus - Google Analytics Certificate Course|Google Analytics Certificate]] >[! Definition] >Data's life cycle in broad industry terms: >1. [[data life cycle - Plan|Plan]] >2. [[data life cycle - Capture|Capture]] >3. [[data life cycle - Manage|Manage]] >4. [[data life cycle - Analyze|Analyze]] >5. [[data life cycle - Archive|Archive]] >6. [[data life cycle - Destroy|Destroy]] > >The use context generally determines how many steps. Like if historical data is important, and Archive step is added. In financial systems, there are laws that require retention, in research settings, sharing and data visualizations could be component of the data life cycle. ## Examples and variants ### U.S. Fish and Wildlife Their data life cycle presented 1. Plan 2. Acquire 3. Maintain 4. Access 5. Evaluate 6. Archive ### USGS 1. Plan 2. Acquire 3. Process 4. Analyze 5. Preserve 6. Publish Also has the following activities done at each stage. - Metadata and documentation - Data Quality Management - Backup and Secure ### Financial institutions 1. Capture 2. Quality 3. Transform 4. Utilize 5. Report 6. Archive 7. Purge ### Harvard Business School 1. Generation 2. Collection 3. Processing 4. Storage 5. Management 6. Analysis 7. Visualization 8. Interpretation ## Related [[data analysis process]] can also be thought of as a data analysis **life cycle** ## Resources - [US Fish.. Data Management life cycle](https://www.fws.gov/program/data-management/data-management-life-cycle) - [USGS](https://www.usgs.gov/products/data-and-tools/data-management/data-lifecycle) - [Strategic Finance Article](https://sfmagazine.com/post-entry/july-2018-the-data-life-cycle/) - [HBS](https://online.hbs.edu/blog/post/data-life-cycle)