OECD Report - Building digital workforce capacity and skills for data-intensive science (2020)
As a lead contributor to the OECD's Building Digital Workforce Capacity and Skills for Data-Intensive Science (2020) report, Dr Michelle Barker outlines in this presentation the goal of the report, i.e. to make recommendations to policy makers on how to facilitate the digital workforce...
Keywords: international skills initiatives, skills, training, OECD, EOSC, Capability building, Skills uplift, skills development, digital skilled workforce, training material
OECD Report - Building digital workforce capacity and skills for data-intensive science (2020)
https://zenodo.org/records/4289356
https://dresa.org.au/materials/oecd-report-building-digital-workforce-capacity-and-skills-for-data-intensive-science-2020-a456ae97-9241-4fc6-b7f9-57c201479317
As a lead contributor to the OECD's Building Digital Workforce Capacity and Skills for Data-Intensive Science (2020) report, Dr Michelle Barker outlines in this presentation the goal of the report, i.e. to make recommendations to policy makers on how to facilitate the digital workforce capacity needed for data-intensive science, based on analysis of best practice.
The presentation highlights:
- Digital workforce capacity and COVID19: the importance of digital skills, the need for shared access to open data, software and code, and the shortfall in skills to enable a comprehensive response to such emergencies
- The ongoing need for a digital skilled workforce for data-intensive science
- Five focus areas in the report include:
1. Enablers for digital workforce capacity development
2. Defining needs: digital skills, frameworks and roles
3. Provision of training
4. Community development
5. Career paths and reward structures - Recommendations for actors incl. universities, national or regional governments
contact@ardc.edu.au
Barker, Michelle (orcid: 0000-0002-3623-172X)
international skills initiatives, skills, training, OECD, EOSC, Capability building, Skills uplift, skills development, digital skilled workforce, training material
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