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
Introduction to REDCap at Griffith University
This site is designed as a companion to Griffith Library’s Research Data Capture workshops. It can also be treated as a standalone, self-paced tutorial for learning to use REDCap (Research Electronic Data Capture) a secure web application for building and managing online surveys and databases.
Keywords: REDCap, survey instruments
Resource type: tutorial
Introduction to REDCap at Griffith University
https://griffithunilibrary.github.io/redcap-intro/
https://dresa.org.au/materials/introduction-to-redcap-at-griffith-university
This site is designed as a companion to Griffith Library’s Research Data Capture workshops. It can also be treated as a standalone, self-paced tutorial for learning to use REDCap (Research Electronic Data Capture) a secure web application for building and managing online surveys and databases.
y.banens@griffith.edu.au
Yuri Banens
REDCap, survey instruments
mbr
phd
ecr
researcher
support
Introduction to text mining and analysis
In this self-paced workshop you will learn steps to:
- Build data sets: find where and how to gather textual data for your corpus or data set.
- Prepare data for analysis: explore useful processes and tools to prepare and clean textual data for analysis
- Analyse data: identify different...
Keywords: textual training materials
Resource type: tutorial
Introduction to text mining and analysis
https://griffithunilibrary.github.io/intro-text-mining-analysis/
https://dresa.org.au/materials/introduction-to-text-mining-and-analysis
In this self-paced workshop you will learn steps to:
- Build data sets: find where and how to gather textual data for your corpus or data set.
- Prepare data for analysis: explore useful processes and tools to prepare and clean textual data for analysis
- Analyse data: identify different types of analysis used to interrogate content and uncover new insights
s.stapleton@griffith.edu.au; y.banens@griffith.edu.au;
Yuri Banens
Sharron Stapleton
Ben McRae
textual training materials
mbr
phd
ecr
researcher
support