Data security is not a best practice for GDI implementation. Instead, data sharing, metadata, and data integration are considered best practices.

The primary goal of GDI implementation is to improve data accessibility, enhance data quality, and promote data sharing.

Technology is not a key component of GDI. Instead, data, metadata, and people are considered key components.

Metadata plays a crucial role in GDI implementation by describing the data, improving data accessibility, and promoting data sharing.

Data duplication is not a benefit of GDI implementation. Instead, improved decision-making, enhanced collaboration, and increased efficiency are considered benefits.

Data sharing plays a vital role in GDI implementation by promoting collaboration, improving data quality, and enhancing data accessibility.

Data availability is not a challenge in GDI implementation. Instead, data integration, data security, and data standardization are considered challenges.

Data integration plays a crucial role in GDI implementation by combining data from different sources, improving data quality, and promoting data sharing.

Charging fees for data access is not a best practice for data sharing in GDI implementation. Instead, using open standards, providing clear and concise metadata, and making data easily accessible are considered best practices.

Data standardization plays a vital role in GDI implementation by ensuring data consistency, improving data quality, and promoting data sharing.

General public is not a key stakeholder in GDI implementation. Instead, data producers, data users, and policymakers are considered key stakeholders.

Policymakers play a crucial role in GDI implementation by providing funding, developing policies and regulations, and promoting GDI adoption.

Storing metadata in a central repository is not a best practice for metadata management in GDI implementation. Instead, using standardized metadata schemas, providing comprehensive metadata, and keeping metadata up-to-date are considered best practices.

Data quality plays a vital role in GDI implementation by ensuring data accuracy, improving data usability, and promoting data sharing.

Allowing unrestricted data access is not a best practice for data security in GDI implementation. Instead, implementing access control mechanisms, encrypting sensitive data, and regularly monitoring and auditing data access are considered best practices.