"The data life cycle is often described as a cycle because the lessons learned and insights gleaned from one data project typically inform the next. In this way, the final step of the process feeds back into the first."

1. Generation
2. Collection
3. Processing
4. Storage
5. Management
6. Analysis
7. Visualization
8. Interpretation

Source: Stobierski, Tim (2021). 8 Steps in the data lifecycle. Business Insights. Havard Business School Online. Online: https://online.hbs.edu/blog/post/data-life-cycle 

"DataONE consider [...] that the data management
tasks depend on data lifecycle. [...].
DataOne has adopted [...] a lifecycle model specific to the
field of scientific research. It focuses on "data". This cycle is
useful because it makes possible to identify data flows and
work processes for scientists. DataONE defines eight phases in the lifecycle of scientific data: Plan, Collect, Assure,
Describe, Preserve, Discover, Integrate and Analyze."

1.  Plan
2. Collect
3. Assure
4. Describe
5. Preserve
6. Discover
7. Integrate
8. Analyze

Source: M. E. Arass, I. Tikito and N. Souissi (2017). Data lifecycles analysis: Towards intelligent cycle.Intelligent Systems and Computer Vision (ISCV) 2017. pages 2-3.
Online: 10.1109/ISACV.2017.8054938 

Source: S. Allard (2012). Dataone : Facilitating escience through collaboration. Journal of eScience Librarianship, vol. 1, no. 1. page 3.