Standards-based Job Design - Matching Industry Needs with Workforce Skills

Project Info

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Team Members


Manny , Ronald

Project Description


There has always been a gap between what the industry needs and what the education and training sector produces. The first step to bridge this gap is an industry driven skills classification framework, thus the Australian Skills Classification framework has been developed. The next step is to leverage on this framework at both the supply and demand side of the job market.

On the demand side, businesses and the industry should use the Australian Skills Classification in job design. Instead of broad descriptors, specific skills should be specified in job descriptions and subsequently in job advertisements. Recruitment and selection should be based on standardised skills.

On the supply side, job seekers should be able to assess themselves or be assessed based on the Australian Skills Classification framework. Finding a job should not be based anymore on the right keywords that recruitment systems use to sift through applicants.

The supply side pipeline also includes the training and education sector, those who plan to enter the job market after training or education, as well as those who simply want to re-skill or upskill to change career trajectories.

We propose a digital portal where all stakeholders in the job market will have the tools they need to participate with synergy. Businesses and industries will be able to design job roles based on the skills they need their workers to have. Potential workers will be able to market themselves based on their skills and look for jobs that suit their skill set.


#jobsearch #skillsclassification #jobmatch #youth #jobseeker #skills for the future #jobs for everyone

Data Story


We propose a digital portal where all stakeholders in the job market will have the tools they need to participate with synergy.

Businesses and industries will be able to design job roles based on the skills they need their workers to have. This is an opportunity to align the NSW Public Sector Capability Framework and the Occupation Specific Capability Sets with the Australian Skills Classification. After all, how will the private sector follow if the public sector does not take the lead?

Potential workers will be able to market themselves based on their skills and look for jobs that suit their skill set. CV’s will need to be re-written based on job roles that are aligned with the Australian Skills Classification, highlighting the actual experience job seekers have in specific skills.

Training and education providers will have insights on both industry needs and job market trends based on data from the Australian Bureau of Statistics, supplemented by realtime data from our proposed portal. In this way, in addition to existing mechanisms for consultation with and feedback from the industry, ready information is available to help steer education and training programs towards the right direction, ensuring that those who go through the pipeline will have work at the end. The same information will be available to those who are planning to join the job market, particularly the youth. Career choices can be made upfront, giving them a glimpse of the future based on available data.


Evidence of Work

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Team DataSets

Australia Population Projections

Description of Use This dataset was used to determine population trends to provide insights on needs and opportunities.

Data Set

Australian Skills Classification Dataset

Description of Use This is used to determine key core competencies, specialist tasks and technology tools required for 600 occupations in Australia using the Australian Skills Classification.

Data Set

Skills for Education and Employment (SEE) Training Sites

Description of Use This data set is useful input to determine available language, literacy and numeracy training so eligible job seekers will know help available so they can participate more effectively in training or in the labour force.

Data Set

NSW Bureau of Crime Statistics and Research Crime Statistics data

Description of Use This dataset was used to determine the liveability of an area based on safety

Data Set

Australia Movers statistics data

Description of Use This dataset was used to determine the population density, trends and growth as informed by historical overseas and interstate migration

Data Set

Australian Bureau of Statistics (ABS) Data API (Beta)

Description of Use Used the datasets related to population, economy, industry and labour to determine the liveability of an area

Data Set

Challenge Entries

Jobs and Growth for Moreton Bay (QLD)

How can we create a prosperous future for our youth?

Eligibility: Open to everyone, preference will be given to those providing solutions using at least one local Moreton Bay data set.

Go to Challenge | 9 teams have entered this challenge.

Create a solution to a customer need using the ABS Data API

We are excited to provide innovators with machine to machine access to ABS Data and see what exciting customer solutions can be created. Here is a chance to draw in ABS Data and answer an important question through visualisation, mapping or even blending with other data sources. Create a solution to a customer need using data drawn from the ABS Data API.

Eligibility: Teams are encouraged to use datasets from a variety of sources, but at least one must be drawn from the ABS Data API.

Go to Challenge | 20 teams have entered this challenge.

Exploring the National Skills Commission’s Australian Skills Classification

How can the general public learn about and be encouraged to interact with the Australian Skills Classification to identify skills within occupations, identify their own skillsets and identify transferability to other occupations of interest?

Eligibility: Participants must use the Australian Skills Classification dataset.

Go to Challenge | 25 teams have entered this challenge.

Reimagining Digital Government Services

How can we re-imagine digital government services in Australia to enable a seamless experience for people of all abilities.

Eligibility: Must use at least one open dataset.

Go to Challenge | 26 teams have entered this challenge.

Youth education and employment

How might we use publicly available data to identify education and employment opportunities for our youth?

Go to Challenge | 25 teams have entered this challenge.