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# Methodology
Through a literature review and a consultation with government, civil society and industry experts in the region, eight dimensions were determined with minimum conditions that must be taken into account by a previous government or during the design of a data strategy.
Additionally, different self-assessment methodologies and instruments were analyzed to design a simple and clear tool that would allow any government to apply and understand. To simplify the self-assessment, four levels of maturity are proposed:
- Null There is a lack of information or actions reflecting maturity in the government's digital and data infrastructure. Initial actions in policy, leadership, and planning are recommended to begin building the foundation of a Data Strategy.
- Low The actions and initiatives are in an early stage of development. It is recommended to consolidate and institutionalize policies, organizational structures, objectives, and specific actions prior to designing a Data Strategy.
- Medium The government has sufficient actions and initiatives for the development of a sustainable Data Strategy. It is recommended to monitor the initiatives and identify areas for improvement, as well as maintain constant engagement with the data user community to scale data projects that generate social and economic value.
- High The government has ideal actions and initiatives for the development of a scalable and sustainable Data Strategy.
# Glossary of terms
- API: The term API is an abbreviation for Application Programming Interfaces, which is the set of routine applications and mechanisms for communication and information exchange between systems.
- Data life cycle:A generation, processing, storage, exchange, use and analysis, and archiving and preservation of data.
- Data Inventory: A data catalog is an organized listing of an institution's data assets. It uses metadata to help organizations manage their data and help the user learn more about the origin and potential use of the data.
- Data: Symbolic representation (numerical, alphabetical, algorithmic, spatial, etc.) of reality. Information about people, things and systems.
- Data Standard: A data catalog is an inventory of an organization's data assets. Help users learn and find the information they need quickly. It can be private (for internal knowledge) or public (for users outside the institution to know).
- Metadata: Metadata are fields or descriptive elements that provide the user with sufficient information to process and understand the data. (Eg title, description, publisher, etc).