I am a PhD student at Washington University in St Louis and I am wondering if you could provide unique Application ID to this open dataset as well as to the following open dataset:
I hope to identify the same household across different datasets.
It would also be extremely helpful if you could provide current zip code, age of main applicant and weekly income to every household on the Social Register dataset.
Thank you,
Jiangheng
Reported
data.qld Publisher 779 commented on 03 Nov 2021, 9:00AM
Unfortunately we do not provide any unique identifying data to preserve privacy of our clients, therefore we are unable to assist with your request.
Thanks for letting me know. Is it possible to provide fake ID on each individual across different datasets? I am obviously not interested in the ID themselves, so as long as the fake IDs are unique for each individual, I will be able to identify the same household across different datasets, and yet the privacy of clients is still preserved.
Thank you again, and you could reach me at jianghenglin@wustl.edu
Unique ID
Hi there,
I am a PhD student at Washington University in St Louis and I am wondering if you could provide unique Application ID to this open dataset as well as to the following open dataset:
https://www.data.qld.gov.au/dataset/social-housing-register
https://www.data.qld.gov.au/dataset/allocations-to-community-housing
I hope to identify the same household across different datasets.
It would also be extremely helpful if you could provide current zip code, age of main applicant and weekly income to every household on the Social Register dataset.
Thank you,
Jiangheng
Unfortunately we do not provide any unique identifying data to preserve privacy of our clients, therefore we are unable to assist with your request.
Hi there,
Thanks for letting me know. Is it possible to provide fake ID on each individual across different datasets? I am obviously not interested in the ID themselves, so as long as the fake IDs are unique for each individual, I will be able to identify the same household across different datasets, and yet the privacy of clients is still preserved.
Thank you again, and you could reach me at jianghenglin@wustl.edu
Jiangheng