Register training material
16 materials found

Authors: Barlow, Melanie (orcid: 000...  or ARDC  or Titus Tang 


ARDC digital research capabilities and skills framework

This informational flyer outlines the value of skills frameworks and describes at a high level the various elements of the ARDC's Capabilities and Skills Framework.

Capabilities and Skills Landscape
Glossary - Framework terminology
Data and Digital Research roles
Skills/Role...

Keywords: training material, skills framework, ARDC skills framework, ARDC capabilities framework, national skills framework

ARDC digital research capabilities and skills framework https://dresa.org.au/materials/ardc-digital-research-capabilities-and-skills-framework-3b376311-87dd-470f-bb8d-e99459434c97 This informational flyer outlines the value of skills frameworks and describes at a high level the various elements of the ARDC's Capabilities and Skills Framework. Capabilities and Skills Landscape Glossary - Framework terminology Data and Digital Research roles Skills/Role profiles Learning paths Skills/Data roles matrix contact@ardc.edu.au Savill, Jo (type: Editor) Duncan, Ian (type: Editor) Unsworth, Kathryn (type: Editor) Murphy, Paul (type: Editor) training material, skills framework, ARDC skills framework, ARDC capabilities framework, national skills framework
Digital research skills trainer certification guide

This guide to certification is for those who currently design, develop and deliver training as full-time trainers or where training is part of their role, and for those who are considering becoming a skills trainer.

Keywords: digital research skills training, trainer certification, training material

Digital research skills trainer certification guide https://dresa.org.au/materials/digital-research-skills-trainer-certification-guide-b70e3945-8ef1-4cc1-8963-3169bcfe0109 This guide to certification is for those who currently design, develop and deliver training as full-time trainers or where training is part of their role, and for those who are considering becoming a skills trainer. contact@ardc.edu.au digital research skills training, trainer certification, training material
Guide to designing digital research skills training materials: textual materials

The Australian Research Data Commons (ARDC) Guide to Designing Digital Research Skills Training Materials: Textual Materials aims to support training materials creators, trainers and national training infrastructure providers in the creation of textual guides while also encouraging the sharing...

Keywords: digital research skills training, learning design, textual training materials, training material

Guide to designing digital research skills training materials: textual materials https://dresa.org.au/materials/guide-to-designing-digital-research-skills-training-materials-textual-materials-8b685c24-0362-4cc9-9908-63227ecf0e0f The Australian Research Data Commons (ARDC) Guide to Designing Digital Research Skills Training Materials: Textual Materials aims to support training materials creators, trainers and national training infrastructure providers in the creation of textual guides while also encouraging the sharing and reuse of their training materials. It aims to facilitate the design, development and delivery of textual guides on digital research and data skills in alignment with best practices in learning and training. This tool is informed by the Universal Design for Learning principles which aims to eliminate barriers in the design of learning materials to make content accessible to all. contact@ardc.edu.au digital research skills training, learning design, textual training materials, training material
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://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 training material, FAIR data, video, webinar, activities, quiz, FAIR, research data management
Guide to designing digital research skills training materials: presentations and videos

The Australian Research Data Commons (ARDC) Guide to Designing Digital Research Skills Training Materials: Presentations and Videos aims to support training materials creators, trainers and national training infrastructure providers in the design and delivery of presentations and videos while...

Keywords: digital research skills training, learning design, training presentations, training videos, training material

Guide to designing digital research skills training materials: presentations and videos https://dresa.org.au/materials/guide-to-designing-digital-research-skills-training-materials-presentations-and-videos-8d8c091b-c719-4200-874a-eb05a81bc49a The Australian Research Data Commons (ARDC) Guide to Designing Digital Research Skills Training Materials: Presentations and Videos aims to support training materials creators, trainers and national training infrastructure providers in the design and delivery of presentations and videos while also encouraging the sharing and reuse of their training materials. It aims to facilitate the design, development and delivery of digital research and data skills videos and presentations in alignment with best practices for learning and training.  This tool is informed by the Universal Design for Learning framework, which aims to eliminate barriers in the design of learning materials and make content accessible to all. contact@ardc.edu.au digital research skills training, learning design, training presentations, training videos, training material
Digital research skills trainer certification guide

This guide to certification is for those who currently design, develop and deliver training as full-time trainers or where training is part of their role, and for those who are considering becoming a skills trainer.

Keywords: digital research skills training, trainer certification, training material

Digital research skills trainer certification guide https://dresa.org.au/materials/digital-research-skills-trainer-certification-guide This guide to certification is for those who currently design, develop and deliver training as full-time trainers or where training is part of their role, and for those who are considering becoming a skills trainer. contact@ardc.edu.au digital research skills training, trainer certification, training material
Guide to designing digital research skills training materials: presentations and videos

The Australian Research Data Commons (ARDC) Guide to Designing Digital Research Skills Training Materials: Presentations and Videos aims to support training materials creators, trainers and national training infrastructure providers in the design and delivery of presentations and videos while...

Keywords: digital research skills training, learning design, training presentations, training videos, training material

Guide to designing digital research skills training materials: presentations and videos https://dresa.org.au/materials/guide-to-designing-digital-research-skills-training-materials-presentations-and-videos The Australian Research Data Commons (ARDC) Guide to Designing Digital Research Skills Training Materials: Presentations and Videos aims to support training materials creators, trainers and national training infrastructure providers in the design and delivery of presentations and videos while also encouraging the sharing and reuse of their training materials. It aims to facilitate the design, development and delivery of digital research and data skills videos and presentations in alignment with best practices for learning and training.  This tool is informed by the Universal Design for Learning framework, which aims to eliminate barriers in the design of learning materials and make content accessible to all. contact@ardc.edu.au digital research skills training, learning design, training presentations, training videos, training material
Guide to designing digital research skills training materials: textual materials

The Australian Research Data Commons (ARDC) Guide to Designing Digital Research Skills Training Materials: Textual Materials aims to support training materials creators, trainers and national training infrastructure providers in the creation of textual guides while also encouraging the sharing...

Keywords: digital research skills training, learning design, textual training materials, training material

Guide to designing digital research skills training materials: textual materials https://dresa.org.au/materials/guide-to-designing-digital-research-skills-training-materials-textual-materials The Australian Research Data Commons (ARDC) Guide to Designing Digital Research Skills Training Materials: Textual Materials aims to support training materials creators, trainers and national training infrastructure providers in the creation of textual guides while also encouraging the sharing and reuse of their training materials. It aims to facilitate the design, development and delivery of textual guides on digital research and data skills in alignment with best practices in learning and training. This tool is informed by the Universal Design for Learning principles which aims to eliminate barriers in the design of learning materials to make content accessible to all. contact@ardc.edu.au digital research skills training, learning design, textual training materials, training material
ARDC digital research capabilities and skills framework

This informational flyer outlines the value of skills frameworks and describes at a high level the various elements of the ARDC's Capabilities and Skills Framework.

Capabilities and Skills Landscape
Glossary - Framework terminology
Data and Digital Research roles
Skills/Role...

Keywords: training material, skills framework, ARDC skills framework, ARDC capabilities framework, national skills framework

ARDC digital research capabilities and skills framework https://dresa.org.au/materials/ardc-digital-research-capabilities-and-skills-framework-e0acf524-0666-466c-ac93-f13c133b03cf This informational flyer outlines the value of skills frameworks and describes at a high level the various elements of the ARDC's Capabilities and Skills Framework. Capabilities and Skills Landscape Glossary - Framework terminology Data and Digital Research roles Skills/Role profiles Learning paths Skills/Data roles matrix contact@ardc.edu.au Savill, Jo (type: Editor) Duncan, Ian (type: Editor) Unsworth, Kathryn (type: Editor) Murphy, Paul (type: Editor) training material, skills framework, ARDC skills framework, ARDC capabilities framework, national skills framework
ARDC digital research capabilities and skills framework

This informational flyer outlines the value of skills frameworks and describes at a high level the various elements of the ARDC's Capabilities and Skills Framework.

Capabilities and Skills Landscape
Glossary - Framework terminology
Data and Digital Research roles
Skills/Role...

Keywords: training material, skills framework, ARDC skills framework, ARDC capabilities framework, national skills framework

ARDC digital research capabilities and skills framework https://dresa.org.au/materials/ardc-digital-research-capabilities-and-skills-framework This informational flyer outlines the value of skills frameworks and describes at a high level the various elements of the ARDC's Capabilities and Skills Framework. Capabilities and Skills Landscape Glossary - Framework terminology Data and Digital Research roles Skills/Role profiles Learning paths Skills/Data roles matrix Kathryn Unsworth (kathryn.unsworth@ardc.edu.au) Savill, Jo (type: Editor) Duncan, Ian (type: Editor) Unsworth, Kathryn (type: Editor) Murphy, Paul (type: Editor) training material, skills framework, ARDC skills framework, ARDC capabilities framework, national skills framework
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://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 training material, FAIR data, video, webinar, activities, quiz, FAIR, research data management
Deep Learning for Natural Language Processing

This workshop is designed to be instructor led and consists of two parts.
Part 1 consists of a lecture-demo about text processing and a hands-on session for attendees to learn how to clean a dataset.
Part 2 consists of a lecture introducing Recurrent Neural Networks and a hands-on session for...

Keywords: Deep learning, NLP, Machine learning

Resource type: presentation, tutorial

Deep Learning for Natural Language Processing https://dresa.org.au/materials/deep-learning-for-natural-language-processing This workshop is designed to be instructor led and consists of two parts. Part 1 consists of a lecture-demo about text processing and a hands-on session for attendees to learn how to clean a dataset. Part 2 consists of a lecture introducing Recurrent Neural Networks and a hands-on session for attendees to train their own RNN. The Powerpoints contain the lecture slides, while the Jupyter notebooks (.ipynb) contain the hands-on coding exercises. This workshop introduces natural language as data for deep learning. We discuss various techniques and software packages (e.g. python strings, RegEx, NLTK, Word2Vec) that help us convert, clean, and formalise text data “in the wild” for use in a deep learning model. We then explore the training and testing of a Recurrent Neural Network on the data to complete a real world task. We will be using TensorFlow v2 for this purpose. datascienceplatform@monash.edu Deep learning, NLP, Machine learning
Getting Started with Deep Learning

This lecture provides a high level overview of how you could get started with developing deep learning applications. It introduces deep learning in a nutshell and then provides advice relating to the concepts and skill sets you would need to know and have in order to build a deep learning...

Keywords: Deep learning, Machine learning

Resource type: presentation

Getting Started with Deep Learning https://dresa.org.au/materials/getting-started-with-deep-learning This lecture provides a high level overview of how you could get started with developing deep learning applications. It introduces deep learning in a nutshell and then provides advice relating to the concepts and skill sets you would need to know and have in order to build a deep learning application. The lecture also provides pointers to various resources you could use to gain a stronger foothold in deep learning. This lecture is targeted at researchers who may be complete beginners in machine learning, deep learning, or even with programming, but who would like to get into the space to build AI systems hands-on. datascienceplatform@monash.edu Deep learning, Machine learning
Semi-Supervised Deep Learning

Modern deep neural networks require large amounts of labelled data to train. Obtaining the required labelled data is often an expensive and time consuming process. Semi-supervised deep learning involves the use of various creative techniques to train deep neural networks on partially labelled...

Keywords: Deep learning, Machine learning, semi-supervised

Resource type: presentation, tutorial

Semi-Supervised Deep Learning https://dresa.org.au/materials/semi-supervised-deep-learning Modern deep neural networks require large amounts of labelled data to train. Obtaining the required labelled data is often an expensive and time consuming process. Semi-supervised deep learning involves the use of various creative techniques to train deep neural networks on partially labelled data. If successful, it allows better training of a model despite the limited amount of labelled data available. This workshop is designed to be instructor led and covers various semi-supervised learning techniques available in the literature. The workshop consists of a lecture introducing at a high level a selection of techniques that are suitable for semi-supervised deep learning. We discuss how these techniques can be implemented and the underlying assumptions they require. The lecture is followed by a hands-on session where attendees implement a semi-supervised learning technique to train a neural network. We observe and discuss the changing performance and behaviour of the network as varying degrees of labelled and unlabelled data is provided to the network during training. datascienceplatform@monash.edu Deep learning, Machine learning, semi-supervised
Introduction to Deep Learning and TensorFlow

This workshop is intended to run as an instructor guided live event and consists of two parts. Each part consists of a lecture and a hands-on coding exercise.
Part 1 - Introduction to Deep Learning and TensorFlow
Part 2 - Introduction to Convolutional Neural Networks
The Powerpoints contain...

Keywords: Deep learning, convolutional neural network, tensorflow, Machine learning

Resource type: presentation, tutorial

Introduction to Deep Learning and TensorFlow https://dresa.org.au/materials/introduction-to-deep-learning-and-tensorflow This workshop is intended to run as an instructor guided live event and consists of two parts. Each part consists of a lecture and a hands-on coding exercise. Part 1 - Introduction to Deep Learning and TensorFlow Part 2 - Introduction to Convolutional Neural Networks The Powerpoints contain the lecture slides, while the Jupyter notebooks (.ipynb) contain the hands-on coding exercises. This workshop is an introduction to how deep learning works and how you could create a neural network using TensorFlow v2. We start by learning the basics of deep learning including what a neural network is, how information passes through the network, and how the network learns from data through the automated process of gradient descent. Workshop attendees would build, train and evaluate a neural network using a cloud GPU (Google Colab). In part 2, we look at image data and how we could train a convolution neural network to classify images. Workshop attendees will extend their knowledge from the first part to design, train and evaluate this convolutional neural network. datascienceplatform@monash.edu Deep learning, convolutional neural network, tensorflow, Machine learning
WEBINAR: Getting started with deep learning

This record includes training materials associated with the Australian BioCommons webinar ‘Getting started with deep learning’. This webinar took place on 21 July 2021.

Are you wondering what deep learning is and how it might be useful in your research? This high level overview introduces...

Keywords: Deep learning, Bioinformatics, Machine learning

Resource type: video, presentation

WEBINAR: Getting started with deep learning https://dresa.org.au/materials/webinar-getting-started-with-deep-learning This record includes training materials associated with the Australian BioCommons webinar ‘Getting started with deep learning’. This webinar took place on 21 July 2021. Are you wondering what deep learning is and how it might be useful in your research? This high level overview introduces deep learning ‘in a nutshell’ and provides tips on which concepts and skills you will need to know to build a deep learning application. The presentation also provides pointers to various resources you can use to get started in deep learning. The webinar is followed by a short Q&A session. 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. Getting Started with Deep Learning - Slides (PDF): Slides used in the presentation Materials shared elsewhere: A recording of the webinar is available on the Australian BioCommons YouTube Channel: https://youtu.be/I1TmpnZUuiQ Melissa Burke (melissa@biocommons.org.au) Deep learning, Bioinformatics, Machine learning