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Keywords: AI  or software publishing  or evaluation 

WEBINAR: AlphaFold: what's in it for me?

This record includes training materials associated with the Australian BioCommons webinar ‘WEBINAR: AlphaFold: what’s in it for me?’. This webinar took place on 18 April 2023.

Event description 

AlphaFold has taken the scientific world by storm with the ability to accurately predict the...

Keywords: Bioinformatics, Machine Learning, Structural Biology, Proteins, Drug discovery, AlphaFold, AI, Artificial Intelligence, Deep learning

WEBINAR: AlphaFold: what's in it for me? https://dresa.org.au/materials/webinar-alphafold-what-s-in-it-for-me This record includes training materials associated with the Australian BioCommons webinar ‘WEBINAR: AlphaFold: what’s in it for me?’. This webinar took place on 18 April 2023. Event description  AlphaFold has taken the scientific world by storm with the ability to accurately predict the structure of any protein in minutes using artificial intelligence (AI). From drug discovery to enzymes that degrade plastics, this promises to speed up and fundamentally change the way that protein structures are used in biological research.  Beyond the hype, what does this mean for structural biology as a field (and as a career)? Dr Craig Morton, Drug Discovery Lead at the CSIRO, is an early adopter of AlphaFold and has decades of expertise in protein structure / function, protein modelling, protein – ligand interactions and computational small molecule drug discovery, with particular interest in anti-infective agents for the treatment of bacterial and viral diseases. Craig joins this webinar to share his perspective on the implications of AlphaFold for science and structural biology. He will give an overview of how AlphaFold works, ways to access AlphaFold, and some examples of how it can be used for protein structure/function analysis. Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event. Files and materials included in this record: Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc. Index of training materials (PDF): List and description of all materials associated with this event including the name, format, location and a brief description of each file. Materials shared elsewhere: A recording of this webinar is available on the Australian BioCommons YouTube Channel: https://youtu.be/4ytn2_AiH8s Melissa Burke (melissa@biocommons.org.au) Bioinformatics, Machine Learning, Structural Biology, Proteins, Drug discovery, AlphaFold, AI, Artificial Intelligence, Deep learning
NCI training strategy and impact story to address pressing needs from user community

This presentation looks at how NCI provides training opportunities, supporting users to develop their digital skills with the aim of underpinning the integrity of research. NCI's new training strategy is outlined along with how training is evaluated and impact is measured. Through extensive...

Keywords: training impact, evaluation, skills training, training strategy, community, survey design, training material

NCI training strategy and impact story to address pressing needs from user community https://dresa.org.au/materials/nci-training-strategy-and-impact-story-to-address-pressing-needs-from-user-community This presentation looks at how NCI provides training opportunities, supporting users to develop their digital skills with the aim of underpinning the integrity of research. NCI's new training strategy is outlined along with how training is evaluated and impact is measured. Through extensive internal polling the training team have identified a number of gaps. Based on the gaps an end-to-end learning journey has been created. The presentation also provides an overview of immediate, middle term and community impacts of training at NCI. You can watch the video on YouTube here:https://youtu.be/LVn5TZFufjI contact@ardc.edu.au training impact, evaluation, skills training, training strategy, community, survey design, training material
Evaluating training at Pawsey: Motivated, confident & "changed"

This presentation outlines the digital reserach skills training evaluation methods used at Pawsey. Using the Kirpatrick Training Evaluation model in designing their training evaluation survey, Pawsey measure learning motivation (How did the participant respond to the training?), improved...

Keywords: training impact, evaluation, behavioual change, survey design, skills training, motivation, confidence, training material

Evaluating training at Pawsey: Motivated, confident & "changed" https://dresa.org.au/materials/evaluating-training-at-pawsey-motivated-confident-changed This presentation outlines the digital reserach skills training evaluation methods used at Pawsey. Using the Kirpatrick Training Evaluation model in designing their training evaluation survey, Pawsey measure learning motivation (How did the participant respond to the training?), improved confidence of the learner (Did participants understand the training?) and were there any behavioual changes (How participants applied their new knowledge in practice?). You can watch the video of the presentation on YouTube here: https://youtu.be/IOKVrBumEBQ contact@ardc.edu.au training impact, evaluation, behavioual change, survey design, skills training, motivation, confidence, training material
Intersect: Training portfolio

This presentation explores Intersect's training evaluation model. Short term evaluation for immediate satisfaction and value of the training. Long term evaluation methods with a specific survey design to determine behavioural change and impact over time of the training on researchers' workflows,...

Keywords: training impact, evaluation, short-term evaluation, long-term evaluation, behavioural change, survey design, skills training, training material

Intersect: Training portfolio https://dresa.org.au/materials/intersect-training-portfolio This presentation explores Intersect's training evaluation model. Short term evaluation for immediate satisfaction and value of the training. Long term evaluation methods with a specific survey design to determine behavioural change and impact over time of the training on researchers' workflows, use of support services post training and looking for links between digital tools/technologies training and research outputs and grants. You can watch the full video on YouTube here: https://youtu.be/J3tCC-t_eO4 contact@ardc.edu.au training impact, evaluation, short-term evaluation, long-term evaluation, behavioural change, survey design, skills training, training material
ARDC Skills Impact and Strategy Community Discussion

The focus of this community event arose from the ARDC SKills Summit 2021, hosted in collaboration with eResearch Australasia Conference. Two key themes identified at the Summit formed the focus of this event: 1) How to convince senior management the value of digital skills training so that they...

Keywords: training impact, evaluation, skills training, resourcing, value proposition, training material

ARDC Skills Impact and Strategy Community Discussion https://dresa.org.au/materials/ardc-skills-impact-and-strategy-community-discussion The focus of this community event arose from the ARDC SKills Summit 2021, hosted in collaboration with eResearch Australasia Conference. Two key themes identified at the Summit formed the focus of this event: 1) How to convince senior management the value of digital skills training so that they don't question resourcing 2) Evaluating the long-term impact of digital skills training on researchers’ workflows and outputs. You can watch the full video presentation on YouTube here: https://youtu.be/iSnE7OBILqs contact@ardc.edu.au training impact, evaluation, skills training, resourcing, value proposition, training material
Accelerating skills development in Data science and AI at scale

At the Monash Data Science and AI  platform, we believe that upskilling our research community and building a workforce with data science skills are key to accelerating the application of data science in research. To achieve this, we create and leverage new and existing training capabilities...

Keywords: AI, machine learning, eresearch skills, training, train the trainer, volunteer instructors, training partnerships, training material

Accelerating skills development in Data science and AI at scale https://dresa.org.au/materials/accelerating-skills-development-in-data-science-and-ai-at-scale At the Monash Data Science and AI  platform, we believe that upskilling our research community and building a workforce with data science skills are key to accelerating the application of data science in research. To achieve this, we create and leverage new and existing training capabilities within and outside Monash University. In this talk, we will discuss the principles and purpose of establishing collaborative models to accelerate skills development at scale. We will talk about our approach to identifying gaps in the existing skills and training available in data science, key areas of interest as identified by the research community and various sources of training available in the marketplace. We will provide insights into the collaborations we currently have and intend to develop in the future within the university and also nationally. The talk will also cover our approach as outlined below •        Combined survey of gaps in skills and trainings for Data science and AI •        Provide seats to partners •        Share associate instructors/helpers/volunteers •        Develop combined training materials •        Publish a repository of open source trainings •        Train the trainer activities •        Establish a network of volunteers to deliver trainings at their local regions Industry plays a significant role in making some invaluable training available to the research community either through self learning platforms like AWS Machine Learning University or Instructor led courses like NVIDIA Deep Learning Institute. We will discuss how we leverage our partnerships with Industry to bring these trainings to our research community. Finally, we will discuss how we map our training to the ARDC skills roadmap and how the ARDC platforms project “Environments to accelerate Machine Learning based Discovery” has enabled collaboration between Monash University and University of Queensland to develop and deliver training together. contact@ardc.edu.au AI, machine learning, eresearch skills, training, train the trainer, volunteer instructors, training partnerships, training material
Monash University - University of Queensland training partnership in Data science and AI

We describe the peer network exchange for training that has been recently created via an ARDC funded partnership between Monash University and Universities of Queensland under the umbrella of the Queensland Cyber Infrastructure Foundation (QCIF). As part of a training program in machine learning,...

Keywords: data skills, training partnerships, data science, AI, training material

Monash University - University of Queensland training partnership in Data science and AI https://dresa.org.au/materials/monash-university-university-of-queensland-training-partnership-in-data-science-and-ai We describe the peer network exchange for training that has been recently created via an ARDC funded partnership between Monash University and Universities of Queensland under the umbrella of the Queensland Cyber Infrastructure Foundation (QCIF). As part of a training program in machine learning, visualisation, and computing tools, we have established a series of over 20 workshops over the year where either Monash or QCIF hosts the event for some 20-40 of their researchers and students, while some 5 places are offered to participants from the other institution. In the longer term we aim to share material developed at one institution and have trainers present it at the other. In this talk we will describe the many benefits we have found to this approach including access to a wider range of expertise in several rapidly developing fields, upskilling of trainers, faster identification of emerging training needs, and peer learning for trainers. contact@ardc.edu.au data skills, training partnerships, data science, AI, training material
Training resources for sharing and reuse

This presentation outlines the work completed during a consultancy for ARDC by Dr Paula Martinez to develop new and publish existing national skills materials for reuse by the sector. She was responsible for the work package targeted to co-develop national skills materials with a strong emphasis...

Keywords: FAIR training material, training material, guides, software citation, software publishing, containers, software licensing, training materials checklist, research data governance

Training resources for sharing and reuse https://dresa.org.au/materials/training-resources-for-sharing-and-reuse This presentation outlines the work completed during a consultancy for ARDC by Dr Paula Martinez to develop new and publish existing national skills materials for reuse by the sector. She was responsible for the work package targeted to co-develop national skills materials with a strong emphasis on sharing and reuse. This was a very collaborative project with the opportunity to work with different target audiences, topics and support expertise. To accommodate for a short timeline. We defined the scope to six topics. 1) Containers in Research 2) Data Governance 3) Software citation and Licensing 4) FAIR Data 101 5) Metadata for Training Materials 6) Machine Learning Resources. You can watch the video on YouTube here: https://youtu.be/10Yv_BFa-mw contact@ardc.edu.au FAIR training material, training material, guides, software citation, software publishing, containers, software licensing, training materials checklist, research data governance
Software publishing, licensing, and citation

A short presentation for reuse includes speaker notes.

Making software citable using a code repository, an ORCID and a licence.

Cite as
Liffers, Matthias. (2021, July 12). Software publishing, licensing, and citation. Zenodo. https://doi.org/10.5281/zenodo.5091717

Keywords: software citation, software publishing, software registry, software repository, research software

Resource type: presentation

Software publishing, licensing, and citation https://dresa.org.au/materials/software-publishing-licensing-and-citation A short presentation for reuse includes speaker notes. Making software citable using a code repository, an ORCID and a licence. **Cite as** Liffers, Matthias. (2021, July 12). Software publishing, licensing, and citation. Zenodo. https://doi.org/10.5281/zenodo.5091717 ARDC Contact us: https://ardc.edu.au/contact-us/ software citation, software publishing, software registry, software repository, research software phd ecr researcher support
ARDC Guide to making Software Citable

A short guide to making software citable using a code repository, an ORCID and a licence.

Cite as
Liffers, Matthias, & Honeyman, Tom. (2021). ARDC Guide to making software citable. Zenodo. https://doi.org/10.5281/zenodo.5003989

Keywords: software citation, software publishing, software registry, software repository, research software

Resource type: guide

ARDC Guide to making Software Citable https://dresa.org.au/materials/ardc-guide-to-making-software-citable A short guide to making software citable using a code repository, an ORCID and a licence. **Cite as** Liffers, Matthias, & Honeyman, Tom. (2021). ARDC Guide to making software citable. Zenodo. https://doi.org/10.5281/zenodo.5003989 ARDC Contact us: https://ardc.edu.au/contact-us/ software citation, software publishing, software registry, software repository, research software phd ecr researcher support