One of the most important aspects of the AP30 project includes fast access to large numbers of occurrence records at a taxon by taxon level. As an example, at the time of writing there 420,039 distinct records in the Atlas for the Australian Magpie. All of these individual records will need to be retrieved and cached by the Edgar project to facilitate the vetting tool Edgar is developing. Edgar is focussing on Bird Distributions and modelling. Currently, there 1,986 taxonomic concepts for Australian birds supplied by the Australian Faunal Directory.
In addition, the persistence of vettings against the data in the Atlas will mean other tools and portals will benefit from the improved data quality. Typically researchers who work with these data will have to undertake a complete gathering of the data and a cleaning process to remove duplicate and erroneous records. This data cleaning is typically not shared or persisted with the source data, leading to duplication of effort within the research community.
By submitting the vettings to the Atlas, Edgar will be sharing the improved data quality with any researcher accessing these data through the Atlas.
By submitting the vettings to the Atlas, Edgar will be sharing the improved data quality with any researcher accessing these data through the Atlas.
Are there going to be any scalability tests or robustness checks? Is there benchmarking?
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