Page 67 - Invited Paper Session (IPS) - Volume 1

IPS57 Joanne H.
It is also important to recognise that the ABS operates as an entity within
the Australian data system. Data initiatives or issues in one sector or
jurisdiction can quickly change public perceptions about data use in general.
For example, the possible introduction of new data sharing and release
legislation in Australia later this year is likely to promote greater public
awareness and discussion about data sharing and use and influence public
opinion.

5. Abs Building Trust Model
The ABS Building Trust model comprises a conceptual model (that shows
trust drivers and behaviours to build trust) and a strategic model (that outlines
the domains of action for activities that will help build public trust in ABS data
use).
Diagram 2 illustrates the conceptual model of trust. At a fundamental level,
trust in a data organisation can be understood as the organisation having the
right motives, keeping promises and demonstrating professional competence.
These three characteristics show the level of trustworthiness of an
organisation. However, trustworthiness is a necessary, but not sufficient
condition for gaining community acceptance or trust in use of data.
Trustworthiness needs to be accompanied by actions to demonstrate
trustworthiness, which together will influence levels of community acceptance
or trust. The model shows actions as trust drivers and behaviours to build trust.
The trust drivers in the model are based on six essential principles for ensuring
a trustworthy data system, recently published by the World Economic Forum.
7

7 World Economic Forum, Data Policy in the Fourth Industrial Revolution: Insights on personal
data https://www.weforum.org/whitepapers/data-policy-in-the-fourth-industrial-revolution-
insights-on-personal-data (Link as of 24/04/2019.)
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