CPCN aims to provide a platform that facilitates and stimulate collaboration through open exchange of information, data, algorithms and ideas to accelerate the development and rapid dissemination of digital crop nutrition advisory tools.
The CPCN follows clear principles for data sharing and management:
- Maximize collaboration through sharing, access and use of data, methods, literature, algorithms and other information needed for making better crop nutrition decisions.
- Remove obstacles to data sharing. Utilize and contribute to improving existing standards for data generation, normalization and integration, including metadata. Promote new data generation.
- Honor and acknowledge data ownership in all activities, through the use of DOI so that data can be formally cited and also allow tracking impact of datasets.
- To the extent possible, follow open access and open-source approaches so that innovation in a pre-competitive space can be stimulated.
- Adhere to the FAIR Data Principles, i.e. data must be Findable, Accessible, Interoperable and Reusable.
- Develop minimum data requirements for agronomic research, which will be validated and published for wider use. Comply with data privacy and security guidelines and consider other ethical issues, including, as applicable, specific regulations such as the GDPR (General Data Protection Regulation), the HITRUST CSF framework, or CARE principles for indigenous data governance.
- Implement good data and risk management.
- All members of the community follow a code of conduct comprised of:
- Being considerate
- Being respectful
- Being collaborative
- Being pragmatic
- Supporting others in the community
- Getting support from others in the community