With leadership support, early adopters and a data manager or key EiB contact is identified. Project begins!
Data is curated and migrated into a data management system.
New data being generated by early adopter breeding teams is loaded into the system, supported by data curators.
Breeding workflows are documented across the institution and standard operating procedures adopted.
New data is automatically loaded into the system as it is generated.
System data and analytics are used to drive breeding decisions.
Development of the EBS is guided by the needs of its users, both current and future.
If you are interested in EBS, we want to hear from you!
There are a number of ways that you can get involved in the EBS and contribute directly to requirements. For instance, you can provide input into analytics and decision support at the EiB Breeding Informatics Network (BrIN) meetings. Please send a request to join this team, or provide other input into EBS through the EiB service desk.