- Assessment
- Implementation
- Monitoring & Evaluation
- Data value chain or data life cycle
Definition
The process of data creation and use from first identifying a need for data to its final use and possible reuse. The data value chain has four major stages: collection, publication, uptake, and impact. These four stages are further separated into twelve steps: identify, collect, process, analyze, release, disseminate, connect, incentivize, influence, use, change, and reuse.
https://opendatawatch.com/reference/the-data-value-chain-executive-summary/#:~:text=The%20data%20value%20chain%20describes,publication%2C%20uptake%2C%20and%20impact.
References
Open Data Watch, access on 12 April 2022.
