The objectives of this project are:
The direct benefits are largely internal to the CRC through efficient management of data and smooth access by researchers and staff from the CRC and the various other parties. However there are also indirect benefits to the industry, such as the timely transfer of data to Sheep Genetics which will enhance industry ASBVs, and the faster availability of data for research outcomes. Original development of a new web based generic database structure jointly with Sheep Genomics and the Beef CRC, and ongoing enhancement, could see ongoing use by both Sheep Genetics and research organisations.
The Information Nucleus will generate considerable data from several sources within the CRC that will be required for various purposes with a need for access by many researchers and others. The development of systems to support this and management of the information will be a considerable undertaking and critical to the efficient management of the CRC research program. A core set of animal information and traits relating to pedigree, growth, live carcass indicators and wool production will be recorded at each site which will need to be coordinated across sites and stored centrally. Data relating to the environment, climate, pasture growth and stocking rate
will also be recorded. In addition large amounts of data will be generated from electronic recording both routinely and within the Program 1 R&D activities. The research programs will also collect samples and generate data e.g. carcass and abattoir data at slaughter and also following sampling and laboratory assays and measurements, including blood samples for genotyping. The genotyping in 4.1 has the potential to generate extremely large amounts of data as well and is being managed by a sample tracking system.
There are many stakeholders in the data generated and the system(s) developed and protocols implemented must be cognisant of this and meet the needs of all concerned. Some (not a complete list) of the requirements for data include:
Protocols are being developed for data sharing, including secure access, research analyses to be undertaken, appropriate acknowledgement of inputs from various parties, publication and authorship.