AEKOS Data Stories - David Deane

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Oh no - I’ve uploaded the wrong dataset!"  - David Deane

“I uploaded my data from a recent publication to SHaRED. Unfortunately I uploaded a working dataset with several errors and I didn’t notice until after data publication. Panic! TERN staff were brilliant, linking the correct data to the published record, but showing only the most recent version in ÆKOS."

David's postgrad supervisor suggested he upload his data from their recent paper using TERN's SHaRED (a self-help data submission tool) to meet the journal request that they make their data openly available.="http:>

"The process was very simple, but very well scrutinised. I felt supported through the process and staff were both prompt and encouraging. That gave me a lot of confidence in using SHaRED for archiving data in ÆKOS"

'I was soon to put this support to the test though, when I downloaded my dataset out of curiosity and shock: I found I had uploaded an earlier working dataset that contained a number of errors. Oh no!!! Pretty embarrassing, but I'm used to that: I was horrified because the whole thing had been a waste of time and effort,' says David.

'The TERN staff at The University of Adelaide were brilliant, very solutions-focussed and rapidly responding to my mea culpa email. They offered a number of possible fixes within 24 hours. If they felt any annoyance at my clanger they certainly never expressed it. We were fortunate that the paper using the data had not yet been published, so I created a new data record and linked it to the wrong data as Version 2. They were able to link the new version directly to the original record in such a way that the old (incorrect) data were not visible.'

'I would have no hesitation recommending SHaRED as a data archiving service; their system is very good, but their staff are excellent.'

David is an ecological modeller and conservation biologist interested in the processes that affect how biodiversity assembles across discrete habitat patches and how their distribution affects the risk of species loss.