ARDC 2023 Skills Summit - Frameworks Panel Discussion (Day 2 - February 10, 2023)
Presentations to the ARDC Skills Summit 2023 (Panel Talks Day 2 - February 10th, 2023)
Dr Peter Derbyshire - Unpacking the ATSE report - Our STEM skilled future and the need for a national skills taxonomy
Anthony Beitz - Applying Skills Framework for the Information Age (SFIA) within DSTG
Kate...
Keywords: training material, research, training, skills, framework, sfia, eresearch, skills frameworks, skills taxonomies, skills classifications, skill shortages, transferrable skills, applying SFIA, training gaps, workforce requirements, job requirements, DReSA, digital literacy, applying skills frameworks, Australian Skills Classification framework, ASC
ARDC 2023 Skills Summit - Frameworks Panel Discussion (Day 2 - February 10, 2023)
https://zenodo.org/records/7711287
https://dresa.org.au/materials/ardc-2023-skills-summit-frameworks-panel-discussion-day-2-february-10-2023-c00730b5-3444-4ccd-8f8f-9ae8ec3dfbe6
Presentations to the ARDC Skills Summit 2023 (Panel Talks Day 2 - February 10th, 2023)
Dr Peter Derbyshire - Unpacking the ATSE report - Our STEM skilled future and the need for a national skills taxonomy
Anthony Beitz - Applying Skills Framework for the Information Age (SFIA) within DSTG
Kate Morrison - A national skills taxonomy - Australian Skills Classification (ASC)
Kathryn Unsworth - ARDC Digital Research Capabilities & Skills Framework
Peter Embelton - Enhancing skills uplift for researchers through the alignment and implementation of skills frameworks
These presentations cover skills frameworks/taxonomies/classifications, skill shortages, transferrable skills, applying SFIA (Skills Framework for the Information Age), Australian Skills Classification framework, training gaps, workforce/job requirements, Digital Research Skills Australasia (DReSA), digital literacy and applying skills frameworks.
contact@ardc.edu.au
Derbyshire, Peter
Beitz, Anthony (orcid: 0000-0002-2071-2852)
Morrison, Kate
Unsworth, Kathryn (orcid: 0000-0002-5407-9987)
Embelton, Peter
training material, research, training, skills, framework, sfia, eresearch, skills frameworks, skills taxonomies, skills classifications, skill shortages, transferrable skills, applying SFIA, training gaps, workforce requirements, job requirements, DReSA, digital literacy, applying skills frameworks, Australian Skills Classification framework, ASC
ARDC FAIR Data 101 self-guided
FAIR Data 101 v3.0 is a self-guided course covering the FAIR Data principles
The FAIR Data 101 virtual course was designed and delivered by the ARDC Skilled Workforce Program twice in 2020 and has now been reworked as a self-guided course.
The course structure was based on 'FAIR Data in the...
Keywords: training material, FAIR data, video, webinar, activities, quiz, FAIR, research data management
ARDC FAIR Data 101 self-guided
https://zenodo.org/records/5094034
https://dresa.org.au/materials/ardc-fair-data-101-self-guided-2d794a84-f0ff-4e11-a39c-fa8ea481e097
FAIR Data 101 v3.0 is a self-guided course covering the FAIR Data principles
The FAIR Data 101 virtual course was designed and delivered by the ARDC Skilled Workforce Program twice in 2020 and has now been reworked as a self-guided course.
The course structure was based on 'FAIR Data in the Scholarly Communications Lifecycle', run by Natasha Simons at the FORCE11 Scholarly Communications Institute. These training materials are hosted on GitHub.
contact@ardc.edu.au
Stokes, Liz (orcid: 0000-0002-2973-5647)
Liffers, Matthias (orcid: 0000-0002-3639-2080)
Burton, Nichola (orcid: 0000-0003-4470-4846)
Martinez, Paula A. (orcid: 0000-0002-8990-1985)
Simons, Natasha (orcid: 0000-0003-0635-1998)
Russell, Keith (orcid: 0000-0001-5390-2719)
McCafferty, Siobhann (orcid: 0000-0002-2491-0995)
Ferrers, Richard (orcid: 0000-0002-2923-9889)
McEachern, Steve (orcid: 0000-0001-7848-4912)
Barlow, Melanie (orcid: 0000-0002-3956-5784)
Brady, Catherine (orcid: 0000-0002-7919-7592)
Brownlee, Rowan (orcid: 0000-0002-1955-1262)
Honeyman, Tom (orcid: 0000-0001-9448-4023)
Quiroga, Maria del Mar (orcid: 0000-0002-8943-2808)
training material, FAIR data, video, webinar, activities, quiz, FAIR, research data management
Advancing Health Research Through Data Sharing: Event Toolkit
As part of the ARDC Community Connect project, An event was run on October 25th 2023 that was designed to raise awareness of Health Research Data Sharing and of the Health Data Australia platform. This 'event toolkit' resource has been developed in order to make the planning materials and event...
Keywords: training material, event, data sharing
Advancing Health Research Through Data Sharing: Event Toolkit
https://zenodo.org/records/10211837
https://dresa.org.au/materials/advancing-health-research-through-data-sharing-event-toolkit
As part of the ARDC Community Connect project, An event was run on October 25th 2023 that was designed to raise awareness of Health Research Data Sharing and of the Health Data Australia platform. This 'event toolkit' resource has been developed in order to make the planning materials and event outputs available to those who may wish to reproduce the event or utilise the event outputs for their own awareness building activities. The event recordings for the event held on October 25th are available on YouTube here.
Amany.Gouda-Vossos@ardc.edu.au
Australasian Leukaemia and Lymphoma Group
University of Melbourne
Deakin University
South Australian Health and Medical Research Institute
training material, event, data sharing
Health Studies Australian National Data Asset (HeSANDA) flyer
Health Studies Australian National Data Asset (HeSANDA) - Digital FlyerReusing data to accelerate research and better health outcomes
Keywords: clinical trial, dataset, training material
Health Studies Australian National Data Asset (HeSANDA) flyer
https://zenodo.org/records/10199242
https://dresa.org.au/materials/health-studies-australian-national-data-asset-hesanda-flyer
Health Studies Australian National Data Asset (HeSANDA) - Digital FlyerReusing data to accelerate research and better health outcomes
Amany.Gouda-Vossos@ardc.edu.au
Australian Research Data Commons
South Australian Health and Medical Research Institute
University of Melbourne
Deakin University
Australasian Leukaemia and Lymphoma Group
Menzies School of Health Research
Australian e-Health Research Centre
Queensland Cyber Infrastructure Foundation
University of Sydney
Curtin University
clinical trial, dataset, training material
TransectMeasure Annotation Guide
Annotation guide: benthic composition and relief for horizontally facing imagery
Keywords: benthos, video, annotation
TransectMeasure Annotation Guide
https://globalarchivemanual.github.io/CheckEM/articles/manuals/TransectMeasure_annotation_guide.html
https://dresa.org.au/materials/transectmeasure-annotation-guide
Annotation guide: benthic composition and relief for horizontally facing imagery
tim.langlois@uwa.edu.au
Brooke Gibbons
Claude Spencer
Tim Langlois
benthos, video, annotation
EventMeasure Annotation Guide
EventMeasure annotation guide for baited remote underwater stereo video systems (stereo-BRUVs) for count and length
Keywords: fish, stereo-video, annotation
EventMeasure Annotation Guide
https://globalarchivemanual.github.io/CheckEM/articles/manuals/EventMeasure_annotation_guide.html
https://dresa.org.au/materials/eventmeasure-annotation-guide
EventMeasure annotation guide for baited remote underwater stereo video systems (stereo-BRUVs) for count and length
tim.langlois@uwa.edu.au
Brooke Gibbons
Tim Langlois
Claude Spencer
fish, stereo-video, annotation
Stereo-video workflows for fish and benthic ecologists
Stereo imagery is widely used by research institutions and management bodies around the world as a cost-effective and non-destructive method to research and monitor fish and habitats (Whitmarsh, Fairweather and Huveneers, 2017). Stereo-video can provide accurate and precise size and range...
Keywords: stereo-video, fish, sharks, habitats
Resource type: tutorial
Stereo-video workflows for fish and benthic ecologists
https://globalarchivemanual.github.io/CheckEM/index.html
https://dresa.org.au/materials/stereo-video-workflows-for-fish-and-benthic-ecologists
Stereo imagery is widely used by research institutions and management bodies around the world as a cost-effective and non-destructive method to research and monitor fish and habitats (Whitmarsh, Fairweather and Huveneers, 2017). Stereo-video can provide accurate and precise size and range measurements and can be used to study spatial and temporal patterns in fish assemblages (McLean et al., 2016), habitat composition and complexity (Collins et al., 2017), behaviour (Goetze et al., 2017), responses to anthropogenic pressures (Bosch et al., 2022) and the recovery and growth of benthic fauna (Langlois et al. 2020). It is important that users of stereo-video collect, annotate, quality control and store their data in a consistent manner, to ensure data produced is of the highest quality possible and to enable large scale collaborations. Here we collate existing best practices and propose new tools to equip ecologists to ensure that all aspects of the stereo-video workflow are performed in a consistent way.
tim.langlois@uwa.edu.au
Tim Langlois
Brooke Gibbons
Claude Spencer
stereo-video, fish, sharks, habitats
ARDC 2023 Skills Summit - Frameworks Panel Discussion (Day 2 - February 10, 2023)
Presentations to the ARDC Skills Summit 2023 (Panel Talks Day 2 - February 10th, 2023)
Dr Peter Derbyshire - Unpacking the ATSE report - Our STEM skilled future and the need for a national skills taxonomy
Anthony Beitz - Applying Skills Framework for the Information Age (SFIA) within DSTG
Kate...
Keywords: training material, research, training, skills, framework, sfia, eresearch, skills frameworks, skills taxonomies, skills classifications, skill shortages, transferrable skills, applying SFIA, training gaps, workforce requirements, job requirements, DReSA, digital literacy, applying skills frameworks, Australian Skills Classification framework, ASC
ARDC 2023 Skills Summit - Frameworks Panel Discussion (Day 2 - February 10, 2023)
https://zenodo.org/record/7711287
https://dresa.org.au/materials/ardc-2023-skills-summit-frameworks-panel-discussion-day-2-february-10-2023
Presentations to the ARDC Skills Summit 2023 (Panel Talks Day 2 - February 10th, 2023)
Dr Peter Derbyshire - Unpacking the ATSE report - Our STEM skilled future and the need for a national skills taxonomy
Anthony Beitz - Applying Skills Framework for the Information Age (SFIA) within DSTG
Kate Morrison - A national skills taxonomy - Australian Skills Classification (ASC)
Kathryn Unsworth - ARDC Digital Research Capabilities & Skills Framework
Peter Embelton - Enhancing skills uplift for researchers through the alignment and implementation of skills frameworks
These presentations cover skills frameworks/taxonomies/classifications, skill shortages, transferrable skills, applying SFIA (Skills Framework for the Information Age), Australian Skills Classification framework, training gaps, workforce/job requirements, Digital Research Skills Australasia (DReSA), digital literacy and applying skills frameworks.
contact@ardc.edu.au
Derbyshire, Peter
Beitz, Anthony (orcid: 0000-0002-2071-2852)
Morrison, Kate
Unsworth, Kathryn (orcid: 0000-0002-5407-9987)
Embelton, Peter
training material, research, training, skills, framework, sfia, eresearch, skills frameworks, skills taxonomies, skills classifications, skill shortages, transferrable skills, applying SFIA, training gaps, workforce requirements, job requirements, DReSA, digital literacy, applying skills frameworks, Australian Skills Classification framework, ASC
ARDC FAIR Data 101 self-guided
FAIR Data 101 v3.0 is a self-guided course covering the FAIR Data principles
The FAIR Data 101 virtual course was designed and delivered by the ARDC Skilled Workforce Program twice in 2020 and has now been reworked as a self-guided course.
The course structure was based on 'FAIR Data in the...
Keywords: training material, FAIR data, video, webinar, activities, quiz, FAIR, research data management
ARDC FAIR Data 101 self-guided
https://zenodo.org/record/5094034
https://dresa.org.au/materials/ardc-fair-data-101-self-guided-bba41a59-8479-4f4f-b9ee-337b9eb294bf
FAIR Data 101 v3.0 is a self-guided course covering the FAIR Data principles
The FAIR Data 101 virtual course was designed and delivered by the ARDC Skilled Workforce Program twice in 2020 and has now been reworked as a self-guided course.
The course structure was based on 'FAIR Data in the Scholarly Communications Lifecycle', run by Natasha Simons at the FORCE11 Scholarly Communications Institute. These training materials are hosted on GitHub.
contact@ardc.edu.au
Stokes, Liz (orcid: 0000-0002-2973-5647)
Liffers, Matthias (orcid: 0000-0002-3639-2080)
Burton, Nichola (orcid: 0000-0003-4470-4846)
Martinez, Paula A. (orcid: 0000-0002-8990-1985)
Simons, Natasha (orcid: 0000-0003-0635-1998)
Russell, Keith (orcid: 0000-0001-5390-2719)
McCafferty, Siobhann (orcid: 0000-0002-2491-0995)
Ferrers, Richard (orcid: 0000-0002-2923-9889)
McEachern, Steve (orcid: 0000-0001-7848-4912)
Barlow, Melanie (orcid: 0000-0002-3956-5784)
Brady, Catherine (orcid: 0000-0002-7919-7592)
Brownlee, Rowan (orcid: 0000-0002-1955-1262)
Honeyman, Tom (orcid: 0000-0001-9448-4023)
Quiroga, Maria del Mar (orcid: 0000-0002-8943-2808)
training material, FAIR data, video, webinar, activities, quiz, FAIR, research data management