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
Unlocking the potential of ChatGPT for your research
In this 1 hr masterclass, Dr. Henry Lydecker and Dr. Gordon McDonald from the University of Sydney's Sydney Informatics Hub discuss:
- What ChatGPT is,
- A breif history of how we got here,
- Some ideas on how you can use it to accelerate your research
- Some pitfalls to beware of
- Some...
Keywords: ChatGPT, training material
Unlocking the potential of ChatGPT for your research
https://youtu.be/-1OIpru7dhY
https://dresa.org.au/materials/unlocking-the-potential-of-chatgpt-for-your-research
In this 1 hr masterclass, Dr. Henry Lydecker and Dr. Gordon McDonald from the University of Sydney's Sydney Informatics Hub discuss:
- What ChatGPT is,
- A breif history of how we got here,
- Some ideas on how you can use it to accelerate your research
- Some pitfalls to beware of
- Some ethical/legal/moral and IP considerations for use of the tool.
Slides for the presentation are available [here](https://github.com/Sydney-Informatics-Hub/ChatGPT-Masterclass/blob/main/chatgpt_masterclass.pdf).
Presented by Dr. Henry Lydecker and Dr. Gordon McDonald from the University of Sydney's Sydney Informatics Hub.
[https://sydney.edu.au/sydney-informatics-hub](https://sydney.edu.au/sydney-informatics-hub)
sih.training@sydney.edu.au
Dr Henry Lydecker
Dr Gordon McDonald
ChatGPT, training material
Generative AI in Research
Slides available here.
Presented by Dr. Henry Lydecker and Dr. Gordon McDonald of the Sydney Informatics Hub, on the 30th November 2023, as part of CSIRO's National AI Month.
Everyone is using ChatGPT these...
Keywords: Artificial Intelligence, training material
Generative AI in Research
https://youtu.be/nnU8bQfR39w
https://dresa.org.au/materials/generative-ai-in-research
Slides available [here](https://github.com/Sydney-Informatics-Hub/Generative-AI-in-Research-Masterclass/).
Presented by Dr. Henry Lydecker and Dr. Gordon McDonald of the Sydney Informatics Hub, on the 30th November 2023, as part of CSIRO's National AI Month.
Everyone is using ChatGPT these days, but how exactly can you get the most out of generative AI tools for your research?
In this Sydney Informatics Hub Masterclass we'll show you three killer ways you can take advantage of these new AI magic tricks so you can use them like a research wizard. We'll briefly overview the traps to avoid, and then show you a glimpse of the future where AI does the boring parts of your job for you!
*The Sydney Informatics Hub is a Core Research Facility at The University of Sydney, enabling excellence in research.* [https://sydney.edu.au/informatics-hub](https://sydney.edu.au/informatics-hub)
sih.training@sydney.edu.au
Dr Gordon McDonald
Dr Henry Lydecker
Artificial Intelligence, training material
AMD Profiling
The AMD profiling workshop covers the AMD suite of tools for development of HPC applications on AMD GPUs.
You will learn how to use the rocprof profiler and trace visualization tool that has long been available as part of the ROCm software suite.
You will also learn how to use the new...
Keywords: supercomputing, performance, GPUs, CPUs, AMD, HPC, ROCm
Resource type: activity
AMD Profiling
https://www.youtube.com/playlist?list=PLmu61dgAX-aaQOCG5Jlw8oLBORJfoQC2o
https://dresa.org.au/materials/amd-profiling
The AMD profiling workshop covers the AMD suite of tools for development of HPC applications on AMD GPUs.
You will learn how to use the rocprof profiler and trace visualization tool that has long been available as part of the ROCm software suite.
You will also learn how to use the new Omnitools - Omnitrace and Omniperf - that were introduced at the end of 2022. Omnitrace is a powerful tracing profiler for both CPU and GPU. It can collect data from a much wider range of sources and includes hardware counters and sampling approaches. Omniperf is a performance analysis tool that can help you pinpoint how your application is performing with a visual view of the memory hierarchy on the GPU as well as reporting the percentage of peak for many different measurements.
training@pawsey.org.au
AMD
Pawsey Supercomputing Research Centre
supercomputing, performance, GPUs, CPUs, AMD, HPC, ROCm
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
