Setting The Scene
Opening Address for the ARDC Skills Summit 2023
This presentation provides a welcome to the ARDC Skills Summit 2023, and includes an outline of the importance of digital research skills to data-enriched research, the value of skills training and highly skilled research workforce to the broader...
Keywords: research, training, skills, training material, ARDC, research data commons, digital research skills agenda
Setting The Scene
https://zenodo.org/records/7710621
https://dresa.org.au/materials/setting-the-scene-8a535906-352b-451e-be82-051b1db4c5de
Opening Address for the ARDC Skills Summit 2023
This presentation provides a welcome to the ARDC Skills Summit 2023, and includes an outline of the importance of digital research skills to data-enriched research, the value of skills training and highly skilled research workforce to the broader economy, and an overview of related ARDC activity.
contact@ardc.edu.au
Russell, Keith (orcid: 0000-0001-5390-2719)
research, training, skills, training material, ARDC, research data commons, digital research skills agenda
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
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