Common use of Essential data Clause in Contracts

Essential data. At a minimum, a determination of potential distribution of an inland water disease requires the following types of data: information underpinning correct diagnosis/taxonomic identification known Australian hosts. Data on the range of hosts or habitats for determining the potential distribution of inland water diseases, provided it is available and incontrovertible known minimum and maximum temperature and salinity tolerances for the disease agent and host species surface area of the inland water, using the following features, as defined by the GEODATA TOPO 250k dataset (available from Geoscience Australia at ▇▇▇.▇▇.▇▇▇.▇▇) lakes reservoirs rivers—perennial, noting that, in some situations, non-perennial sections of rivers may need to be incorporated into the data to be used for modelling canals and irrigation channels wetlands (equivalent to ‘swaps’ in the GEODATA TOPO 250k dataset) knowledge of overseas host and geographical ranges of the aetiological agent. Data on reproductive abilities of the host species and pathogen. The behaviour of the infected hosts including whether they are potamodromous (migrate within fresh water only); diadromous (travel between salt and fresh water); anadromous (live in the ocean mostly, and breed in fresh water); catadromous (live in fresh water, and breed in the ocean); amphidromous (move between fresh and salt water during their life cycle, but not to breed). Secondary data that directly affect the potential distribution of a disease can be used to determine the potential area of infection. Secondary data will only be used if all parties on the NBMCC agree and only if it is available, highly relevant and incontrovertible. Secondary data includes: spatial information on dams the hydrologic regime (water levels, flow, turbidity etc) water chemistry (oxygen levels, salinity, hardness, acidity, pollution etc). If the secondary data are known to limit the extent of potential distribution they should be combined with the modelling output to increase the robustness of the conclusions on potential distribution. It may also be useful to analyse a number of factors to establish the timing of management actions and response arrangements. Such factors may include: mechanisms of pathogen transmission knowledge of potential vectors natural barriers. When providing advice to the NBMG, the NBMCC will need to advise on the level of confidence it has in the information that underpins the potential distribution of a disease agent and its host species. The most accurate data available should be used. The best sources of data are: National Information Systems published, peer-reviewed data museum/collection records, unpublished government records including unpublished survey reports, laboratory reports and catch-effort fisheries databases expert advice, properly elicited. Other sources of data that may be available are: free databases (e.g. Fishbase) internet sources where the level of confidence ranks (highest to lowest): validated data sources with open access validated data sources without open access survey data that uses recognised methods and open access (e.g. Google searches). Where data are not validated, these sources should be checked and validated where possible. The data sources listed in item 3.5(d) of this attachment should be assessed according to their confidence rating (see table in item 3.5(h) of this attachment). Assessment of survey data should consider the methodology used in the survey. Where survey methodology is not available, a low confidence rating should be assigned to these data. Surveys which follow international standards, or OIE reporting standards (for animal pests and diseases) should be assigned a higher confidence rating. Note that aquatic organism distribution data and aquatic parasite distribution data are non-parametric. Closely related host and pathogen species information should be used with caution as there is no direct correlation between surrogates and actual disease species. Likewise, host susceptibility data based on laboratory challenge studies should be used with caution. Formal and informal networks of experts are an essential source of information and data. These networks should be encouraged and communicated to ensure timely and effective decision-making. A table outlining the confidence rating of different data sources is provided below. Peer-reviewed scientific paper High High quality science or species specific books, non-peer reviewed scientific paper (e.g. conference proceedings), Personal communications from experts (e.g. PhD, or higher degree on species being assessed), Unpublished reports from highly reliable sources (e.g. commercial reports or honours theses, etc.), Internet information that cites sources from the ‘high/medium category above. Medium/High