Accessing ASH Data

 

Who can access datasets?

ASH datasets are potentially available for statistical purposes to bona fide public good researchers working within academic institutions, government agencies and the wider health sector, subject to certain conditions.

 

Safety and security

Good statistical practice and our ethical obligations to survey participants require that information collected through our surveys, particularly personal information that could be used to identify individuals, is treated as confidential and stored securely.

We must balance the benefits of data access with our obligations to hold data securely and protect the confidentiality of information supplied by individuals. Failing to adequately protect individual information potentially reduces public trust and confidence in us, and wider government, which in turn affects the ongoing quality of IP and data collections.

 

Data Access Policy

The ASH NZ Data Access Policy for External Researchers applies to all researchers who are provided access to ASH data. It outlines the procedures for providing access to ASH data and the application and approval process.

 

How to gain access

If you are interested in accessing ASH data for your own research, please do the following:

Step 1  Read the ASH NZ Data Access Policy for External Researchers

Step 2  Download and complete an application form and return it to us via email

If you have any queries about this process or would like to check the availability of the data set you are interested in, please email [email protected]

Step 3  Completed application forms can be sent via email to [email protected] or via post to:

ASH NZ
PO Box 11852
Ellerslie
Auckland 1542
New Zealand

Please note, a full application process may take up two months from the time we receive your application.

 

Costs

As ASH is a small not-for-profit organisation, a minimum charge of NZD95 is applicable to cover costs of producing the dataset(s). More complex applications will incur a higher fee – a quote will be provided before dataset(s) are produced.