Thank you for considering sharing your data with the ALA.
The ALA itself does not generate any content and so it is only through your contributions that we can support biodiversity and conservation analysis.
Any information you share increases the pool of accessible information for research, monitoring and reporting on the state of Australian biodiversity. More quality information supports additional research and evidence-based decision making by conservation and management authorities.
When you share your data with the ALA, you:
Who else is sharing data with the ALA?
The ALA is a collaborative project aggregating information from research institutions, state/territory and federal agencies as well as biodiversity interest groups and individuals.
Current contributors include large and small institutions and individuals, including:
For a list of current data providers see: http://collections.ala.org.au/datasets
This depends on the amount of data you provide and how you provide it.
If you submit data through the ALA’s Record a Sighting function, it is considered to be an individual observation and a ‘fact’. Facts have no intellectual property and so do not need to be licensed, though the ALA will attribute the observation to you.
If you provide a collection of sightings, eg on a spreadsheet or from a database, this is a dataset and does need to be licensed. The ALA prefers to use the Creative Commons Attribution license.
See also FAQ Data licensing.
You can share a wide range of information with the ALA, including:
If the multimedia is of a:
To edit your data:
The file type is not really an issue as the ALA can accept data in any well known file format. However, data structured to match one of the ALA templates (link) or Darwin Core will be much easier to integrate. We can also take a look at other schema but it will likely take longer to load as we convert it to Darwin Core for loading.
To include a record in the ALA the only information needed is:
However, it is very difficult, if not impossible, to determine how reliable such a record is and whether it should be used for particular purposes, eg can it be used for analysis, modelling or an environmental impact assessment. Additional information therefore produces a higher ‘quality’ record, where ‘quality’ means that users can more easily determine its ‘fitness for use’.
See also FAQ Data upload templates
A high quality record contains the minimum mandatory fields plus as many of the following fields as possible:
Basis of record is a mandatory field that identifies what the record is ‘of’—was something seen but there is no further evidence (an observation), is there a photo, movie or sound recording or was a specimen collected.
Anyone can share their information with the ALA.
For a list of current data providers see http://collections.ala.org.au/datasets.
No, although data formatted to fit one of the templates makes it much easier to integrate in to the ALA.
We will try to match it as best the automated process can but the ALA is not resourced to check identifications. Other users of the ALA may provide feedback on your error by using the “Flag an issue” function on your sighting.
If you are unsure of the species, this Species identification page may have some ideas for getting it correctly identified.
Yes, simply access the ALA website as normal using your device.
Dead species are an indication of the presence of the organism so yes, but please indicate in the occurrence remarks that the specimen was dead.
The ALA runs tests against the location, identification and completeness of the records. The results of the tests are flagged against the records.
If your data contains at least a recognisable species and location we will load the record, and all other possible issues are noted with the record. Other ALA users can then decide whether or not your records are suitable for their individual purposes.
If you have shared your information with another organisation such as a government department or conservation agency then they may have already shared it with the ALA. We will try to identify duplicate records and remove them.
Attribution is a statement about who provided the data.
You can nominate how you would like to be acknowledged as the provider of your data. Typical attributions include: