ADA Public Wiki - User contributions [en-gb]

DSS Linkage

2026-05-07T03:21:01Z

YJones:

== What is data linkage in this context? ==

Department of Social Services (DSS) defines the integration of data for statistical or research purposes by this definition from the [https://www.oaic.gov.au/privacy/privacy-guidance-for-organisations-and-government-agencies/more-guidance/guide-to-data-analytics-and-the-australian-privacy-principles Office of the Australian Information Commissioner].

<blockquote>
‘Data integration’refers to the bringing together of multiple datasets, to provide a new dataset (usually for statistical or research purposes). Data integration refers to the full range of practices around the process, including data transfer, linking and merging the data and dissemination. ‘Data linking’ is an element of data integration, which is the process of creating links between data from different sources based on common features present in those sources.
</blockquote>

== What counts as combining or linking data? ==

If you answered yes, your research likely involves data integration.It covers any situation where you bring the dataset you are applying for, together with another source of information, at any stage of your research.

This includes:

*'''Record linkage''' — matching individual records across datasets using shared identifiers (such as names, addresses, dates of birth, ID numbers, or postcodes) to create a joined dataset.
*'''Merging datasets''' — appending or joining datasets so that variables from multiple sources appear together in a single analytical file, even if you are not matching at the individual level.
*'''Contextual or area-level enrichment''' — attaching geographic, census, or aggregate data to records in this dataset (for example, linking postcode-level deprivation scores).
*'''Sequential use''' — using outputs, scores, or derived variables from another dataset as inputs to your analysis of this one.

If you are unsure, ask yourself: "Will any variable in my analysis come from a source other than this dataset?" If yes, you are likely integrating data and should answer yes.

== Why we ask ==
Combining datasets can increase the risk that individuals become identifiable, even if each dataset appears anonymous on its own. Telling us about planned integration allows us to assess this re-identification risk, ensure your data sharing agreements cover all sources involved, and confirm that the combination is proportionate to your research aims.

DSS Linkage

2026-05-07T03:18:03Z

YJones: Created page with "== What is data linkage in this context? == Department of Social Services (DSS) defines the integration of data for statistical or research purposes by this definition from the [https://www.oaic.gov.au/privacy/privacy-guidance-for-organisations-and-government-agencies/more-guidance/guide-to-data-analytics-and-the-australian-privacy-principles Office of the Australian Information Commissioner]. <blockquote> ‘Data integration’refers to the bringing together of multip..."

== What is data linkage in this context? ==

Department of Social Services (DSS) defines the integration of data for statistical or research purposes by this definition from the [https://www.oaic.gov.au/privacy/privacy-guidance-for-organisations-and-government-agencies/more-guidance/guide-to-data-analytics-and-the-australian-privacy-principles Office of the Australian Information Commissioner].

<blockquote>
‘Data integration’refers to the bringing together of multiple datasets, to provide a new dataset (usually for statistical or research purposes). Data integration refers to the full range of practices around the process, including data transfer, linking and merging the data and dissemination. ‘Data linking’ is an element of data integration, which is the process of creating links between data from different sources based on common features present in those sources.
</blockquote>

== What counts as combining or linking data? ==

If you answered yes, your research likely involves data integration.It covers any situation where you bring the dataset you are applying for, together with another source of information, at any stage of your research.

This includes:

'''Record linkage''' — matching individual records across datasets using shared identifiers (such as names, addresses, dates of birth, ID numbers, or postcodes) to create a joined dataset.
'''Merging datasets''' — appending or joining datasets so that variables from multiple sources appear together in a single analytical file, even if you are not matching at the individual level.
'''Contextual or area-level enrichment''' — attaching geographic, census, or aggregate data to records in this dataset (for example, linking postcode-level deprivation scores).
'''Sequential use''' — using outputs, scores, or derived variables from another dataset as inputs to your analysis of this one.
If you are unsure, ask yourself: "Will any variable in my analysis come from a source other than this dataset?" If yes, you are likely integrating data and should answer yes.

Student Applications

2026-03-17T23:41:41Z

YJones:

''' Not all data held in the Archive is available for student applications. This page provides guidelines for the most popular data for students - [https://dataverse.ada.edu.au/dataverse/DSSLongitudinalStudies DSS Longitudinal Studies Datasets]. '''

Most '''DSS Longitudinal Studies Datasets''' can be used for teaching or training purposes and offer a 'training dataset'. Below are the current training releases.

{| class="wikitable" style="margin:auto"
|-
! Current Training Dataset !! Description !! Link
|-
| HILDA General Release 22 || [https://www.dss.gov.au/long-term-research/living-australia-household-income-and-labour-dynamics-australia-hilda-survey Living in Australia: The Household, Income and Labour Dynamics in Australia (HILDA) Survey provides longitudinal data on the lives of Australian residents.] || https://dataverse.ada.edu.au/dataset.xhtml?persistentId=doi:10.26193/R4IN30
|-
| LSAC Release 8 || [https://www.dss.gov.au/long-term-research/growing-australia-longitudinal-study-australian-children Growing Up in Australia: The Longitudinal Study of Australian Children (LSAC) is a major study following the development of approximately 10,000 young people and their families from all parts of Australia.] || https://dataverse.ada.edu.au/dataset.xhtml?persistentId=doi:10.26193/VTCZFF
|-
| LSIC 12 || [https://www.dss.gov.au/long-term-research/footprints-time-longitudinal-study-indigenous-children Footprints in Time: The Longitudinal Study of Indigenous Children (LSIC) Footprints in Time: The Longitudinal Study of Indigenous Children (LSIC) follows the development of up to 1,759 Aboriginal and Torres Strait Islander children and their families across urban, regional and remote Australia.] || https://dataverse.ada.edu.au/dataset.xhtml?persistentId=doi:10.26193/7IGLME
|-
| BNLA 4 || [https://www.dss.gov.au/long-term-research/building-new-life-australia-longitudinal-study-humanitarian-migrants Building a New Life in Australia (BNLA): The Longitudinal Study of Humanitarian Migrants follows the settlement journey of 2,399 humanitarian migrants and their families who arrived in Australia or were granted a permanent humanitarian visa between May and December 2013.] || https://dataverse.ada.edu.au/dataset.xhtml?persistentId=doi:10.26193/ZQHBPW
|-
|}
== Process for Course Coordinators / Teaching Staff ==
# Review the data documents to determine this data will achieve the teaching objective.
# If you are employed and teaching at the Australian National University, fill out this form [https://forms.office.com/Pages/ResponsePage.aspx?id=XHJ941yrJEaa5fBTPkhkNz9_B2iCuZ5OhL2GDMrtsoZUMVZKVVFFQ1kyREdHM0kzTFZQUEpMUEpLVi4u Data Requests for ANU Coursework]
# All other institutions should email us ada@ada.edu.au and include the following information:
Course/Unit:
Start date:
End date:
Teaching objective:
Dataset(s) required:
Approx # students:

== Other Datasets and Suggested Uses for Teaching ==
{| class="wikitable" style="margin:auto"
|-
! Dataset !! Use Cases !! Notes
|-
| [https://dataverse.ada.edu.au/dataverse/anupoll ANU Poll] ||
# Quantitative Research Methods & Statistics
# Survey Design & Social Research Methods
# Topics such a political science, public policy etc
|| Appplication process so students can see data governance in practice
|-
| [https://dataverse.ada.edu.au/dataverse/aes Australian Election Studies] ||
# Australian Politics and Government
# Electoral Systems and Behaviour
# Political Representation and Gender Politics
# Quantitative Research Methods in Social Science
# Longitudinal and Panel Data Analysis (Advanced Quantitative)
|| Many files are open access - see files with "GENERAL"
|-
| [https://dataverse.ada.edu.au/dataverse/aussa Australian Survey of Social Attitudes] ||
# Quantitative Social Research Methods
# Sociology of Religion
# Environmental Sociology and Policy
# Labour Studies, Industrial Relations, and Work Sociology
|| General release files are considered for teaching, not the restricted release
|-

Student Applications

2026-03-17T23:24:22Z

YJones:

Student Applications

2026-03-17T23:23:55Z

YJones:

''' Not all data held in the Archive is available for student applications. This page provides guidelines for the most popular data for students - [https://dataverse.ada.edu.au/dataverse/DSSLongitudinalStudies DSS Longitudinal Studies Datasets]. '''

Most '''DSS Longitudinal Studies Datasets''' can be used for teaching or training purposes and offer a 'training dataset'. Below are the current training releases.

{| class="wikitable" style="margin:auto"
|-
! Current Training Dataset !! Description !! Link
|-
| HILDA General Release 22 || [https://www.dss.gov.au/long-term-research/living-australia-household-income-and-labour-dynamics-australia-hilda-survey Living in Australia: The Household, Income and Labour Dynamics in Australia (HILDA) Survey provides longitudinal data on the lives of Australian residents.] || https://dataverse.ada.edu.au/dataset.xhtml?persistentId=doi:10.26193/R4IN30
|-
| LSAC Release 8 || [https://www.dss.gov.au/long-term-research/growing-australia-longitudinal-study-australian-children Growing Up in Australia: The Longitudinal Study of Australian Children (LSAC) is a major study following the development of approximately 10,000 young people and their families from all parts of Australia.] || https://dataverse.ada.edu.au/dataset.xhtml?persistentId=doi:10.26193/VTCZFF
|-
| LSIC 12 || [https://www.dss.gov.au/long-term-research/footprints-time-longitudinal-study-indigenous-children Footprints in Time: The Longitudinal Study of Indigenous Children (LSIC) Footprints in Time: The Longitudinal Study of Indigenous Children (LSIC) follows the development of up to 1,759 Aboriginal and Torres Strait Islander children and their families across urban, regional and remote Australia.] || https://dataverse.ada.edu.au/dataset.xhtml?persistentId=doi:10.26193/7IGLME
|-
| BNLA 4 || [https://www.dss.gov.au/long-term-research/building-new-life-australia-longitudinal-study-humanitarian-migrants Building a New Life in Australia (BNLA): The Longitudinal Study of Humanitarian Migrants follows the settlement journey of 2,399 humanitarian migrants and their families who arrived in Australia or were granted a permanent humanitarian visa between May and December 2013.] || https://dataverse.ada.edu.au/dataset.xhtml?persistentId=doi:10.26193/ZQHBPW
|-
|}
== Process for Course Coordinators / Teaching Staff ==
# Review the data documents to determine this data will achieve the teaching objective.
# If you are employed and teaching at the Australian National University, fill out this form [https://forms.office.com/Pages/ResponsePage.aspx?id=XHJ941yrJEaa5fBTPkhkNz9_B2iCuZ5OhL2GDMrtsoZUMVZKVVFFQ1kyREdHM0kzTFZQUEpMUEpLVi4u Data Requests for ANU Coursework]
# All other institutions should email us ada@ada.edu.au and include the following information:
Course/Unit:
Start date:
End date:
Teaching objective:
Dataset(s) required:
Approx # students:

== Other Datasets and Suggested Uses for Teaching ==
{| class="wikitable" style="margin:auto"
|-
! Dataset !! Use Cases !! Notes
|-
| [https://dataverse.ada.edu.au/dataverse/anupoll ANU Poll] ||
# Quantitative Research Methods & Statistics
# Survey Design & Social Research Methods
# Topics such a political science, public policy etc
|| Appplication process so students can see data governance in practice
|-
| [https://dataverse.ada.edu.au/dataverse/aes Australian Election Studies ||
# Australian Politics and Government
# Electoral Systems and Behaviour
# Political Representation and Gender Politics
# Quantitative Research Methods in Social Science
# Longitudinal and Panel Data Analysis (Advanced Quantitative)
|| Many files are open access - see files with "GENERAL"

Student Applications

2026-03-17T23:12:29Z

YJones:

''' Not all data held in the Archive is available for student applications. This page provides guidelines for the most popular data for students - [https://dataverse.ada.edu.au/dataverse/DSSLongitudinalStudies DSS Longitudinal Studies Datasets]. '''

Most '''DSS Longitudinal Studies Datasets''' can be used for teaching or training purposes and offer a 'training dataset'. Below are the current training releases.

{| class="wikitable" style="margin:auto"
|-
! Current Training Dataset !! Description !! Link
|-
| HILDA General Release 22 || [https://www.dss.gov.au/long-term-research/living-australia-household-income-and-labour-dynamics-australia-hilda-survey Living in Australia: The Household, Income and Labour Dynamics in Australia (HILDA) Survey provides longitudinal data on the lives of Australian residents.] || https://dataverse.ada.edu.au/dataset.xhtml?persistentId=doi:10.26193/R4IN30
|-
| LSAC Release 8 || [https://www.dss.gov.au/long-term-research/growing-australia-longitudinal-study-australian-children Growing Up in Australia: The Longitudinal Study of Australian Children (LSAC) is a major study following the development of approximately 10,000 young people and their families from all parts of Australia.] || https://dataverse.ada.edu.au/dataset.xhtml?persistentId=doi:10.26193/VTCZFF
|-
| LSIC 12 || [https://www.dss.gov.au/long-term-research/footprints-time-longitudinal-study-indigenous-children Footprints in Time: The Longitudinal Study of Indigenous Children (LSIC) Footprints in Time: The Longitudinal Study of Indigenous Children (LSIC) follows the development of up to 1,759 Aboriginal and Torres Strait Islander children and their families across urban, regional and remote Australia.] || https://dataverse.ada.edu.au/dataset.xhtml?persistentId=doi:10.26193/7IGLME
|-
| BNLA 4 || [https://www.dss.gov.au/long-term-research/building-new-life-australia-longitudinal-study-humanitarian-migrants Building a New Life in Australia (BNLA): The Longitudinal Study of Humanitarian Migrants follows the settlement journey of 2,399 humanitarian migrants and their families who arrived in Australia or were granted a permanent humanitarian visa between May and December 2013.] || https://dataverse.ada.edu.au/dataset.xhtml?persistentId=doi:10.26193/ZQHBPW
|-
|}
== Process for Course Coordinators / Teaching Staff ==
# Review the data documents to determine this data will achieve the teaching objective.
# If you are employed and teaching at the Australian National University, fill out this form [https://forms.office.com/Pages/ResponsePage.aspx?id=XHJ941yrJEaa5fBTPkhkNz9_B2iCuZ5OhL2GDMrtsoZUMVZKVVFFQ1kyREdHM0kzTFZQUEpMUEpLVi4u Data Requests for ANU Coursework]
# All other institutions should email us ada@ada.edu.au and include the following information:
Course/Unit:
Start date:
End date:
Teaching objective:
Dataset(s) required:
Approx # students:

== Other Datasets and Suggested Uses for Teaching ==
{| class="wikitable" style="margin:auto"
|-
! Dataset ! Use Cases ! Notes
|-
| [https://dataverse.ada.edu.au/dataverse/anupoll ANU Poll] || #Quantitative Research Methods & Statistics #Survey Design & Social Research Methods #Topics such a political science, public policy etc || Students have to apply for access so it teaches them the application of data governance

Student Applications

2026-03-17T22:21:32Z

YJones:

Student Applications

2026-03-17T21:57:42Z

YJones:

''' Not all data held in the Archive is available for student applications. This page provides guidelines for the most popular data for students - [https://dataverse.ada.edu.au/dataverse/DSSLongitudinalStudies DSS Longitudinal Studies Datasets]. '''

Most '''DSS Longitudinal Studies Datasets''' can be used for teaching or training purposes and offer a 'training dataset'. Below are the current training releases.

{| class="wikitable" style="margin:auto"
|-
! Current Training Dataset !! Description !! Link
|-
| HILDA General Release 22 || [https://www.dss.gov.au/long-term-research/living-australia-household-income-and-labour-dynamics-australia-hilda-survey Living in Australia: The Household, Income and Labour Dynamics in Australia (HILDA) Survey provides longitudinal data on the lives of Australian residents.] || https://dataverse.ada.edu.au/dataset.xhtml?persistentId=doi:10.26193/R4IN30
|-
| LSAC Release 8 || [https://www.dss.gov.au/long-term-research/growing-australia-longitudinal-study-australian-children Growing Up in Australia: The Longitudinal Study of Australian Children (LSAC) is a major study following the development of approximately 10,000 young people and their families from all parts of Australia.] || https://dataverse.ada.edu.au/dataset.xhtml?persistentId=doi:10.26193/VTCZFF
|-
| LSIC 12 || [https://www.dss.gov.au/long-term-research/footprints-time-longitudinal-study-indigenous-children Footprints in Time: The Longitudinal Study of Indigenous Children (LSIC) Footprints in Time: The Longitudinal Study of Indigenous Children (LSIC) follows the development of up to 1,759 Aboriginal and Torres Strait Islander children and their families across urban, regional and remote Australia.] || https://dataverse.ada.edu.au/dataset.xhtml?persistentId=doi:10.26193/7IGLME
|-
| BNLA 4 || [https://www.dss.gov.au/long-term-research/building-new-life-australia-longitudinal-study-humanitarian-migrants Building a New Life in Australia (BNLA): The Longitudinal Study of Humanitarian Migrants follows the settlement journey of 2,399 humanitarian migrants and their families who arrived in Australia or were granted a permanent humanitarian visa between May and December 2013.] || https://dataverse.ada.edu.au/dataset.xhtml?persistentId=doi:10.26193/ZQHBPW
|-
== Process for Course Coordinators / Teaching Staff ==
# Review the data documents to determine this data will achieve the teaching objective.
# If you are employed and teaching at the Australian National University, fill out this form [https://forms.office.com/Pages/ResponsePage.aspx?id=XHJ941yrJEaa5fBTPkhkNz9_B2iCuZ5OhL2GDMrtsoZUMVZKVVFFQ1kyREdHM0kzTFZQUEpMUEpLVi4u Data Requests for ANU Coursework]
# All other institutions should email us ada@ada.edu.au and include the following information:
Course/Unit:
Start date:
End date:
Teaching objective:
Dataset(s) required:
Approx # students:

ADA Public Wiki:Users

2026-03-17T21:45:57Z

YJones: YJones moved page ADA Public Wiki:Users to Student Applications: Title not relevant

#REDIRECT [[Student Applications]]

Student Applications

2026-03-17T21:45:57Z

YJones: YJones moved page ADA Public Wiki:Users to Student Applications: Title not relevant

Student Applications

2026-03-06T05:01:05Z

YJones:

Student Applications

2026-03-06T04:58:52Z

YJones:

Student Applications

2026-03-06T04:57:46Z

YJones:

Student Applications

2026-03-06T04:47:01Z

YJones:

Student Applications

2026-03-06T04:45:22Z

YJones:

Student Applications

2026-03-06T04:43:29Z

YJones:

Student Applications

2026-03-06T01:52:40Z

YJones:

Student Applications

2026-03-06T00:57:26Z

YJones: Created page with "Not all data held in the Archive is available for student applications. This page provides guidelines for the most popular data for students - [https://dataverse.ada.edu.au/dataverse/DSSLongitudinalStudies DSS Longitudinal Studies Datasets]."

Not all data held in the Archive is available for student applications. This page provides guidelines for the most popular data for students - [https://dataverse.ada.edu.au/dataverse/DSSLongitudinalStudies DSS Longitudinal Studies Datasets].

Dataverse FAQs

2026-03-05T23:55:21Z

YJones:

'''This page has been created to support applicants.'''

== Which email? ==

It is best to use your institutional email – university and/or work. These email addresses usually adhere to a higher level of security than personal or commercial emails such as Hotmail, Gmail, QQ etc. We also can’t verify who you are, if you use a personal email to open your account.

== Dataverse Account:Verifying your email ==

Log in to Dataverse and go to Account Information (top right menu under your name). Click “Verify Email” next to your email address to receive a verification link.

[[File:Email_Verify_Link.PNG]]

Use the link within 24 hours to complete verification. If you don’t receive the email within an hour, check your spam or junk folder.

'''Troubleshooting:''' ''If you see an error message, try a different browser. Also, if it has been less than 24 hours since you created your account, a verification link was sent in an email upon sign up. Check your emails to use that link.''

== How to Update your Email ==

Here’s how to update your email:

#Log in to your Dataverse account. https://dataverse.ada.edu.au/
#Click your username at the top right and select Account Information.
#In the Edit Account menu, choose Account Information again.
#Update your email to your institutional address and save the changes.
#You’ll receive an automated email to verify the new address—please click the link to verify your email.

'''Troubleshooting:''' ''If you don’t receive the verification email within an hour, check your spam or junk folder.''

== DSS Longitudinal Studies Confidentiality Deed Poll ==

If you want to access any of the [https://dataverse.ada.edu.au/dataverse/DSSLongitudinalStudies Department of Social Services Longitudinal Studies] datasets, you need to submit a [https://ada.edu.au/wp-content/uploads/2022/01/Confidentiality-Deed-Poll-Sept-2021.pdf confidentiality deed poll].

Please ensure that the deed is filled out correctly. This video explains how to fill it out [https://youtu.be/utEX6FKo_Jw?si=SgX6y0tGSR2XeNBy Youtube video].

[[File:ADA Public Wiki Deed Example.png]]

== What to include in your Project Abstract ==

A brief abstract should be a full paragraph (not just 1-2 sentences) that helps us assess whether this data suits your research/project needs and shows you’ve reviewed the
available metadata. Metadata tab is located above the data files list on Dataverse.

Please address:
*Your main research question or objective
*How you’ll use this data, including relevant methods and variables
*The purpose and significance of your research – what you hope to learn or achieve
This demonstrates you’ve confirmed this is the right data for your research or project.

'''Example Abstract'''
<blockquote>
This research examines the relationship between educational attainment and long-term income mobility among Australian workers, with particular focus on how skill development affects wage trajectories over time. Using the HILDA Survey data (Waves 1-24), I will employ fixed-effects regression models to track individual income changes while controlling for time-invariant personal characteristics. Key variables include educational qualifications, employment status, occupation type, household income, and the Wave 24 special topic data on education, skills and abilities.

The study aims to determine whether investments in education and skill acquisition lead to sustained income growth, or if returns diminish over career spans. This research will contribute to policy discussions on workforce development and lifelong learning initiatives by identifying which educational pathways produce the most significant long-term economic benefits. The longitudinal nature of HILDA's 24-year coverage makes it uniquely suited to this analysis, as it allows observation of the same individuals across their career trajectories, capturing both immediate and delayed effects of educational investments on economic outcomes.
<blockquote>

Dataverse FAQs

2026-03-05T23:53:36Z

YJones:

'''This page has been created to support applicants.'''

== Which email? ==

It is best to use your institutional email – university and/or work. These email addresses usually adhere to a higher level of security than personal or commercial emails such as Hotmail, Gmail, QQ etc. We also can’t verify who you are, if you use a personal email to open your account.

==[[Main_Page#Dataverse_FAQs|Dataverse Account:Verifying your email]]==

Log in to Dataverse and go to Account Information (top right menu under your name). Click “Verify Email” next to your email address to receive a verification link.

[[File:Email_Verify_Link.PNG]]

Use the link within 24 hours to complete verification. If you don’t receive the email within an hour, check your spam or junk folder.

'''Troubleshooting:''' ''If you see an error message, try a different browser. Also, if it has been less than 24 hours since you created your account, a verification link was sent in an email upon sign up. Check your emails to use that link.''

==[[Main_Page#Dataverse_FAQs|How to Update your Email]]==

Here’s how to update your email:

#Log in to your Dataverse account. https://dataverse.ada.edu.au/
#Click your username at the top right and select Account Information.
#In the Edit Account menu, choose Account Information again.
#Update your email to your institutional address and save the changes.
#You’ll receive an automated email to verify the new address—please click the link to verify your email.

'''Troubleshooting:''' ''If you don’t receive the verification email within an hour, check your spam or junk folder.''

==[[Main_Page#Dataverse_FAQs|DSS Longitudinal Studies Confidentiality Deed Poll]]==

If you want to access any of the [https://dataverse.ada.edu.au/dataverse/DSSLongitudinalStudies Department of Social Services Longitudinal Studies] datasets, you need to submit a [https://ada.edu.au/wp-content/uploads/2022/01/Confidentiality-Deed-Poll-Sept-2021.pdf confidentiality deed poll].

Please ensure that the deed is filled out correctly. This video explains how to fill it out [https://youtu.be/utEX6FKo_Jw?si=SgX6y0tGSR2XeNBy Youtube video].

[[File:ADA Public Wiki Deed Example.png]]

==[[Main_Page#Dataverse_FAQs|What to include in your Project Abstract]]==

A brief abstract should be a full paragraph (not just 1-2 sentences) that helps us assess whether this data suits your research/project needs and shows you’ve reviewed the
available metadata. Metadata tab is located above the data files list on Dataverse.

Please address:
*Your main research question or objective
*How you’ll use this data, including relevant methods and variables
*The purpose and significance of your research – what you hope to learn or achieve
This demonstrates you’ve confirmed this is the right data for your research or project.

'''Example Abstract'''
<blockquote>
This research examines the relationship between educational attainment and long-term income mobility among Australian workers, with particular focus on how skill development affects wage trajectories over time. Using the HILDA Survey data (Waves 1-24), I will employ fixed-effects regression models to track individual income changes while controlling for time-invariant personal characteristics. Key variables include educational qualifications, employment status, occupation type, household income, and the Wave 24 special topic data on education, skills and abilities.

The study aims to determine whether investments in education and skill acquisition lead to sustained income growth, or if returns diminish over career spans. This research will contribute to policy discussions on workforce development and lifelong learning initiatives by identifying which educational pathways produce the most significant long-term economic benefits. The longitudinal nature of HILDA's 24-year coverage makes it uniquely suited to this analysis, as it allows observation of the same individuals across their career trajectories, capturing both immediate and delayed effects of educational investments on economic outcomes.
<blockquote>

Dataverse FAQs

2026-02-17T23:26:13Z

YJones:

'''This page has been created to support applicants.'''

==[[Main_Page#Dataverse_FAQs|Which email?]]==

It is best to use your institutional email – university and/or work. These email addresses usually adhere to a higher level of security than personal or commercial emails such as Hotmail, Gmail, QQ etc. We also can’t verify who you are, if you use a personal email to open your account.

==[[Main_Page#Dataverse_FAQs|Dataverse Account:Verifying your email]]==

Log in to Dataverse and go to Account Information (top right menu under your name). Click “Verify Email” next to your email address to receive a verification link.

[[File:Email_Verify_Link.PNG]]

Use the link within 24 hours to complete verification. If you don’t receive the email within an hour, check your spam or junk folder.

'''Troubleshooting:''' ''If you see an error message, try a different browser. Also, if it has been less than 24 hours since you created your account, a verification link was sent in an email upon sign up. Check your emails to use that link.''

==[[Main_Page#Dataverse_FAQs|How to Update your Email]]==

Here’s how to update your email:

#Log in to your Dataverse account. https://dataverse.ada.edu.au/
#Click your username at the top right and select Account Information.
#In the Edit Account menu, choose Account Information again.
#Update your email to your institutional address and save the changes.
#You’ll receive an automated email to verify the new address—please click the link to verify your email.

'''Troubleshooting:''' ''If you don’t receive the verification email within an hour, check your spam or junk folder.''

==[[Main_Page#Dataverse_FAQs|DSS Longitudinal Studies Confidentiality Deed Poll]]==

If you want to access any of the [https://dataverse.ada.edu.au/dataverse/DSSLongitudinalStudies Department of Social Services Longitudinal Studies] datasets, you need to submit a [https://ada.edu.au/wp-content/uploads/2022/01/Confidentiality-Deed-Poll-Sept-2021.pdf confidentiality deed poll].

Please ensure that the deed is filled out correctly. This video explains how to fill it out [https://youtu.be/utEX6FKo_Jw?si=SgX6y0tGSR2XeNBy Youtube video].

[[File:ADA Public Wiki Deed Example.png]]

==[[Main_Page#Dataverse_FAQs|What to include in your Project Abstract]]==

A brief abstract should be a full paragraph (not just 1-2 sentences) that helps us assess whether this data suits your research/project needs and shows you’ve reviewed the
available metadata. Metadata tab is located above the data files list on Dataverse.

Please address:
*Your main research question or objective
*How you’ll use this data, including relevant methods and variables
*The purpose and significance of your research – what you hope to learn or achieve
This demonstrates you’ve confirmed this is the right data for your research or project.

'''Example Abstract'''
<blockquote>
This research examines the relationship between educational attainment and long-term income mobility among Australian workers, with particular focus on how skill development affects wage trajectories over time. Using the HILDA Survey data (Waves 1-24), I will employ fixed-effects regression models to track individual income changes while controlling for time-invariant personal characteristics. Key variables include educational qualifications, employment status, occupation type, household income, and the Wave 24 special topic data on education, skills and abilities.

The study aims to determine whether investments in education and skill acquisition lead to sustained income growth, or if returns diminish over career spans. This research will contribute to policy discussions on workforce development and lifelong learning initiatives by identifying which educational pathways produce the most significant long-term economic benefits. The longitudinal nature of HILDA's 24-year coverage makes it uniquely suited to this analysis, as it allows observation of the same individuals across their career trajectories, capturing both immediate and delayed effects of educational investments on economic outcomes.
<blockquote>

File:ADA Public Wiki Deed Example.png

2026-02-17T23:24:08Z

YJones:

Dataverse FAQs

2026-02-17T23:02:47Z

YJones:

'''This page has been created to support applicants.'''

==[[Main_Page#Dataverse_FAQs|Which email?]]==

It is best to use your institutional email – university and/or work. These email addresses usually adhere to a higher level of security than personal or commercial emails such as Hotmail, Gmail, QQ etc. We also can’t verify who you are, if you use a personal email to open your account.

==[[Main_Page#Dataverse_FAQs|Dataverse Account:Verifying your email]]==

Log in to Dataverse and go to Account Information (top right menu under your name). Click “Verify Email” next to your email address to receive a verification link.

[[File:Email_Verify_Link.PNG]]

Use the link within 24 hours to complete verification. If you don’t receive the email within an hour, check your spam or junk folder.

'''Troubleshooting:''' ''If you see an error message, try a different browser. Also, if it has been less than 24 hours since you created your account, a verification link was sent in an email upon sign up. Check your emails to use that link.''

==[[Main_Page#Dataverse_FAQs|How to Update your Email]]==

Here’s how to update your email:

#Log in to your Dataverse account. https://dataverse.ada.edu.au/
#Click your username at the top right and select Account Information.
#In the Edit Account menu, choose Account Information again.
#Update your email to your institutional address and save the changes.
#You’ll receive an automated email to verify the new address—please click the link to verify your email.

'''Troubleshooting:''' ''If you don’t receive the verification email within an hour, check your spam or junk folder.''

==[[Main_Page#Dataverse_FAQs|DSS Longitudinal Studies Confidentiality Deed Poll]]==

If you want to access any of the [https://dataverse.ada.edu.au/dataverse/DSSLongitudinalStudies Department of Social Services Longitudinal Studies] datasets, you need to submit a [https://ada.edu.au/wp-content/uploads/2022/01/Confidentiality-Deed-Poll-Sept-2021.pdf confidentiality deed poll].

Please ensure that the deed is filled out correctly. This video explains how to fill it out [https://youtu.be/utEX6FKo_Jw?si=SgX6y0tGSR2XeNBy Youtube video].

==[[Main_Page#Dataverse_FAQs|What to include in your Project Abstract]]==

A brief abstract should be a full paragraph (not just 1-2 sentences) that helps us assess whether this data suits your research/project needs and shows you’ve reviewed the
available metadata. Metadata tab is located above the data files list on Dataverse.

Please address:
*Your main research question or objective
*How you’ll use this data, including relevant methods and variables
*The purpose and significance of your research – what you hope to learn or achieve
This demonstrates you’ve confirmed this is the right data for your research or project.

'''Example Abstract'''
<blockquote>
This research examines the relationship between educational attainment and long-term income mobility among Australian workers, with particular focus on how skill development affects wage trajectories over time. Using the HILDA Survey data (Waves 1-24), I will employ fixed-effects regression models to track individual income changes while controlling for time-invariant personal characteristics. Key variables include educational qualifications, employment status, occupation type, household income, and the Wave 24 special topic data on education, skills and abilities.

The study aims to determine whether investments in education and skill acquisition lead to sustained income growth, or if returns diminish over career spans. This research will contribute to policy discussions on workforce development and lifelong learning initiatives by identifying which educational pathways produce the most significant long-term economic benefits. The longitudinal nature of HILDA's 24-year coverage makes it uniquely suited to this analysis, as it allows observation of the same individuals across their career trajectories, capturing both immediate and delayed effects of educational investments on economic outcomes.
<blockquote>

Dataverse FAQs

2026-02-17T22:59:24Z

YJones:

'''This page has been created to support applicants.'''

==[[Main_Page#Dataverse_FAQs|Which email?]]==

It is best to use your institutional email – university and/or work. These email addresses usually adhere to a higher level of security than personal or commercial emails such as Hotmail, Gmail, QQ etc. We also can’t verify who you are, if you use a personal email to open your account.

==[[Main_Page#Dataverse_FAQs|Dataverse Account:Verifying your email]]==

Log in to Dataverse and go to Account Information (top right menu under your name). Click “Verify Email” next to your email address to receive a verification link.

[[File:Email_Verify_Link.PNG]]

Use the link within 24 hours to complete verification. If you don’t receive the email within an hour, check your spam or junk folder.

'''Troubleshooting:''' ''If you see an error message, try a different browser. Also, if it has been less than 24 hours since you created your account, a verification link was sent in an email upon sign up. Check your emails to use that link.''

==[[Main_Page#Dataverse_FAQs|How to Update your Email]]==

Here’s how to update your email:

#Log in to your Dataverse account. https://dataverse.ada.edu.au/
#Click your username at the top right and select Account Information.
#In the Edit Account menu, choose Account Information again.
#Update your email to your institutional address and save the changes.
#You’ll receive an automated email to verify the new address—please click the link to verify your email.

'''Troubleshooting:''' ''If you don’t receive the verification email within an hour, check your spam or junk folder.''

==[[Main_Page#Dataverse_FAQs|DSS Longitudinal Studies Confidentiality Deed Poll]]==

If you want to access any of the [https://dataverse.ada.edu.au/dataverse/DSSLongitudinalStudies Department of Social Services Longitudinal Studies] datasets, you need to submit a [https://ada.edu.au/wp-content/uploads/2022/01/Confidentiality-Deed-Poll-Sept-2021.pdf confidentiality deed poll].

Please ensure that the deed is filled out correctly. You can watch this [https://youtu.be/utEX6FKo_Jw?si=SgX6y0tGSR2XeNBy Youtube video].
==[[Main_Page#Dataverse_FAQs|What to include in your Project Abstract]]==

A brief abstract should be a full paragraph (not just 1-2 sentences) that helps us assess whether this data suits your research/project needs and shows you’ve reviewed the
available metadata. Metadata tab is located above the data files list on Dataverse.

Please address:
*Your main research question or objective
*How you’ll use this data, including relevant methods and variables
*The purpose and significance of your research – what you hope to learn or achieve
This demonstrates you’ve confirmed this is the right data for your research or project.

'''Example Abstract'''
<blockquote>
This research examines the relationship between educational attainment and long-term income mobility among Australian workers, with particular focus on how skill development affects wage trajectories over time. Using the HILDA Survey data (Waves 1-24), I will employ fixed-effects regression models to track individual income changes while controlling for time-invariant personal characteristics. Key variables include educational qualifications, employment status, occupation type, household income, and the Wave 24 special topic data on education, skills and abilities.

The study aims to determine whether investments in education and skill acquisition lead to sustained income growth, or if returns diminish over career spans. This research will contribute to policy discussions on workforce development and lifelong learning initiatives by identifying which educational pathways produce the most significant long-term economic benefits. The longitudinal nature of HILDA's 24-year coverage makes it uniquely suited to this analysis, as it allows observation of the same individuals across their career trajectories, capturing both immediate and delayed effects of educational investments on economic outcomes.
<blockquote>

Dataverse FAQs

2026-02-17T22:54:49Z

YJones:

'''This page has been created to support applicants.'''

==[[Main_Page#Dataverse_FAQs|Which email?]]==

It is best to use your institutional email – university and/or work. These email addresses usually adhere to a higher level of security than personal or commercial emails such as Hotmail, Gmail, QQ etc. We also can’t verify who you are, if you use a personal email to open your account.

==[[Main_Page#Dataverse_FAQs|Dataverse Account:Verifying your email]]==

Log in to Dataverse and go to Account Information (top right menu under your name). Click “Verify Email” next to your email address to receive a verification link.

[[File:Email_Verify_Link.PNG]]

Use the link within 24 hours to complete verification. If you don’t receive the email within an hour, check your spam or junk folder.

'''Troubleshooting:''' ''If you see an error message, try a different browser. Also, if it has been less than 24 hours since you created your account, a verification link was sent in an email upon sign up. Check your emails to use that link.''

==[[Main_Page#Dataverse_FAQs|How to Update your Email]]==

Here’s how to update your email:

#Log in to your Dataverse account. https://dataverse.ada.edu.au/
#Click your username at the top right and select Account Information.
#In the Edit Account menu, choose Account Information again.
#Update your email to your institutional address and save the changes.
#You’ll receive an automated email to verify the new address—please click the link to verify your email.

'''Troubleshooting:''' ''If you don’t receive the verification email within an hour, check your spam or junk folder.''

==[[Main_Page#Dataverse_FAQs|What to include in your Project Abstract]]==

A brief abstract should be a full paragraph (not just 1-2 sentences) that helps us assess whether this data suits your research/project needs and shows you’ve reviewed the
available metadata. Metadata tab is located above the data files list on Dataverse.

Please address:
*Your main research question or objective
*How you’ll use this data, including relevant methods and variables
*The purpose and significance of your research – what you hope to learn or achieve
This demonstrates you’ve confirmed this is the right data for your research or project.

'''Example Abstract'''
<blockquote>
This research examines the relationship between educational attainment and long-term income mobility among Australian workers, with particular focus on how skill development affects wage trajectories over time. Using the HILDA Survey data (Waves 1-24), I will employ fixed-effects regression models to track individual income changes while controlling for time-invariant personal characteristics. Key variables include educational qualifications, employment status, occupation type, household income, and the Wave 24 special topic data on education, skills and abilities.

The study aims to determine whether investments in education and skill acquisition lead to sustained income growth, or if returns diminish over career spans. This research will contribute to policy discussions on workforce development and lifelong learning initiatives by identifying which educational pathways produce the most significant long-term economic benefits. The longitudinal nature of HILDA's 24-year coverage makes it uniquely suited to this analysis, as it allows observation of the same individuals across their career trajectories, capturing both immediate and delayed effects of educational investments on economic outcomes.
<blockquote>

==[[Main_Page#Dataverse_FAQs|DSS Longitudinal Studies Confidentiality Deed Poll]]==

If you want to access any of the [https://dataverse.ada.edu.au/dataverse/DSSLongitudinalStudies Department of Social Services Longitudinal Studies] datasets, you need to submit a confidentiality deed poll.

Please ensure that the deed is filled out correctly. You can watch this [https://youtu.be/utEX6FKo_Jw?si=SgX6y0tGSR2XeNBy Youtube video].

Dataverse FAQs

2026-02-17T22:53:02Z

YJones:

'''This page has been created to support applicants.'''

==[[Main_Page#Dataverse_FAQs|Which email?]]==

It is best to use your institutional email – university and/or work. These email addresses usually adhere to a higher level of security than personal or commercial emails such as Hotmail, Gmail, QQ etc. We also can’t verify who you are, if you use a personal email to open your account.

==[[Main_Page#Dataverse_FAQs|Dataverse Account:Verifying your email]]==

Log in to Dataverse and go to Account Information (top right menu under your name). Click “Verify Email” next to your email address to receive a verification link.

[[File:Email_Verify_Link.PNG]]

Use the link within 24 hours to complete verification. If you don’t receive the email within an hour, check your spam or junk folder.

'''Troubleshooting:''' ''If you see an error message, try a different browser. Also, if it has been less than 24 hours since you created your account, a verification link was sent in an email upon sign up. Check your emails to use that link.''

==[[Main_Page#Dataverse_FAQs|How to Update your Email]]==

Here’s how to update your email:

#Log in to your Dataverse account. https://dataverse.ada.edu.au/
#Click your username at the top right and select Account Information.
#In the Edit Account menu, choose Account Information again.
#Update your email to your institutional address and save the changes.
#You’ll receive an automated email to verify the new address—please click the link to verify your email.

'''Troubleshooting:''' ''If you don’t receive the verification email within an hour, check your spam or junk folder.''

==[[Main_Page#Dataverse_FAQs|What to include in your Project Abstract]]==

A brief abstract should be a full paragraph (not just 1-2 sentences) that helps us assess whether this data suits your research/project needs and shows you’ve reviewed the
available metadata. Metadata tab is located above the data files list on Dataverse.

Please address:
*Your main research question or objective
*How you’ll use this data, including relevant methods and variables
*The purpose and significance of your research – what you hope to learn or achieve
This demonstrates you’ve confirmed this is the right data for your research or project.

'''Example Abstract'''
<blockquote>
This research examines the relationship between educational attainment and long-term income mobility among Australian workers, with particular focus on how skill development affects wage trajectories over time. Using the HILDA Survey data (Waves 1-24), I will employ fixed-effects regression models to track individual income changes while controlling for time-invariant personal characteristics. Key variables include educational qualifications, employment status, occupation type, household income, and the Wave 24 special topic data on education, skills and abilities.

The study aims to determine whether investments in education and skill acquisition lead to sustained income growth, or if returns diminish over career spans. This research will contribute to policy discussions on workforce development and lifelong learning initiatives by identifying which educational pathways produce the most significant long-term economic benefits. The longitudinal nature of HILDA's 24-year coverage makes it uniquely suited to this analysis, as it allows observation of the same individuals across their career trajectories, capturing both immediate and delayed effects of educational investments on economic outcomes.
<blockquote>

==[[Main_Page#Dataverse_FAQs|DSS Longitudinal Studies Confidentiality Deed Poll]]==

If you want to access any of the [https://dataverse.ada.edu.au/dataverse/DSSLongitudinalStudies Department of Social Services Longitudinal Studies] datasets, you need to submit a confidentiality deed poll.

Please ensure that the deed is filled out correctly. You can watch the below video for tips.
<iframe width="560" height="315" src="https://www.youtube.com/embed/utEX6FKo_Jw?si=3B7BXxqrzi0OuNFs" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>

Dataverse FAQs

2026-02-17T22:04:08Z

YJones:

'''This page has been created to support applicants.'''

==[[Main_Page#Dataverse_FAQs|Which email?]]==

It is best to use your institutional email – university and/or work. These email addresses usually adhere to a higher level of security than personal or commercial emails such as Hotmail, Gmail, QQ etc. We also can’t verify who you are, if you use a personal email to open your account.

==[[Main_Page#Dataverse_FAQs|Dataverse Account:Verifying your email]]==

Log in to Dataverse and go to Account Information (top right menu under your name). Click “Verify Email” next to your email address to receive a verification link.

[[File:Email_Verify_Link.PNG]]

Use the link within 24 hours to complete verification. If you don’t receive the email within an hour, check your spam or junk folder.

'''Troubleshooting:''' ''If you see an error message, try a different browser. Also, if it has been less than 24 hours since you created your account, a verification link was sent in an email upon sign up. Check your emails to use that link.''

==[[Main_Page#Dataverse_FAQs|How to Update your Email]]==

Here’s how to update your email:

#Log in to your Dataverse account. https://dataverse.ada.edu.au/
#Click your username at the top right and select Account Information.
#In the Edit Account menu, choose Account Information again.
#Update your email to your institutional address and save the changes.
#You’ll receive an automated email to verify the new address—please click the link to verify your email.

'''Troubleshooting:''' ''If you don’t receive the verification email within an hour, check your spam or junk folder.''

==[[Main_Page#Dataverse_FAQs|What to include in your Project Abstract]]==

A brief abstract should be a full paragraph (not just 1-2 sentences) that helps us assess whether this data suits your research/project needs and shows you’ve reviewed the
available metadata. Metadata tab is located above the data files list on Dataverse.

Please address:
*Your main research question or objective
*How you’ll use this data, including relevant methods and variables
*The purpose and significance of your research – what you hope to learn or achieve
This demonstrates you’ve confirmed this is the right data for your research or project.

'''Example Abstract'''
<blockquote>
This research examines the relationship between educational attainment and long-term income mobility among Australian workers, with particular focus on how skill development affects wage trajectories over time. Using the HILDA Survey data (Waves 1-24), I will employ fixed-effects regression models to track individual income changes while controlling for time-invariant personal characteristics. Key variables include educational qualifications, employment status, occupation type, household income, and the Wave 24 special topic data on education, skills and abilities.

The study aims to determine whether investments in education and skill acquisition lead to sustained income growth, or if returns diminish over career spans. This research will contribute to policy discussions on workforce development and lifelong learning initiatives by identifying which educational pathways produce the most significant long-term economic benefits. The longitudinal nature of HILDA's 24-year coverage makes it uniquely suited to this analysis, as it allows observation of the same individuals across their career trajectories, capturing both immediate and delayed effects of educational investments on economic outcomes.
<blockquote>

Dataverse FAQs

2026-02-13T04:18:12Z

YJones: Created page with "'''This page has been created to support applicants.''' ==Which email?== It is best to use your institutional email – university and/or work. These email addresses usually adhere to a higher level of security than personal or commercial emails such as Hotmail, Gmail, QQ etc. We also can’t verify who you are, if you use a personal email to open your account. ==Dataverse Account:Verifying your email== Log in..."

'''This page has been created to support applicants.'''

==[[Main_Page#Dataverse_FAQs|Which email?]]==

It is best to use your institutional email – university and/or work. These email addresses usually adhere to a higher level of security than personal or commercial emails such as Hotmail, Gmail, QQ etc. We also can’t verify who you are, if you use a personal email to open your account.

==[[Main_Page#Dataverse_FAQs|Dataverse Account:Verifying your email]]==

Log in to Dataverse and go to Account Information (top right menu under your name). Click “Verify Email” next to your email address to receive a verification link.

[[File:Email_Verify_Link.PNG]]

Use the link within 24 hours to complete verification. If you don’t receive the email within an hour, check your spam or junk folder.

'''Troubleshooting:''' ''If you see an error message, try a different browser. Also, if it has been less than 24 hours since you created your account, a verification link was sent in an email upon sign up. Check your emails to use that link.''

==[[Main_Page#Dataverse_FAQs|How to Update your Email]]==

Here’s how to update your email:

#Log in to your Dataverse account.
#Click your username at the top right and select Account Information.
#In the Edit Account menu, choose Account Information again.
#Update your email to your institutional address and save the changes.
#You’ll receive an automated email to verify the new address—please click the link to verify your email.

'''Troubleshooting:''' ''If you don’t receive the verification email within an hour, check your spam or junk folder.''

==[[Main_Page#Dataverse_FAQs|What to include in your Project Abstract]]==

A brief abstract should be a full paragraph (not just 1-2 sentences) that helps us assess whether this data suits your research/project needs and shows you’ve reviewed the
available metadata. Metadata tab is located above the data files list on Dataverse.

Please address:
*Your main research question or objective
*How you’ll use this data, including relevant methods and variables
*The purpose and significance of your research – what you hope to learn or achieve
This demonstrates you’ve confirmed this is the right data for your research or project.

'''Example Abstract'''
<blockquote>
This research examines the relationship between educational attainment and long-term income mobility among Australian workers, with particular focus on how skill development affects wage trajectories over time. Using the HILDA Survey data (Waves 1-24), I will employ fixed-effects regression models to track individual income changes while controlling for time-invariant personal characteristics. Key variables include educational qualifications, employment status, occupation type, household income, and the Wave 24 special topic data on education, skills and abilities.

The study aims to determine whether investments in education and skill acquisition lead to sustained income growth, or if returns diminish over career spans. This research will contribute to policy discussions on workforce development and lifelong learning initiatives by identifying which educational pathways produce the most significant long-term economic benefits. The longitudinal nature of HILDA's 24-year coverage makes it uniquely suited to this analysis, as it allows observation of the same individuals across their career trajectories, capturing both immediate and delayed effects of educational investments on economic outcomes.
<blockquote>

File:Email Verify Link.PNG

2026-02-13T04:07:01Z

YJones: Dataverse Account Email Verification

== Summary ==
Dataverse Account Email Verification