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Authors: Barlow, Melanie (orcid: 000...  or Emilia Decker  or Bonu, Tarun (orcid: 0000-00...  or King, Sara (orcid: 0000-000... 

ML4AU: Trainings, trainers and building an ML community

This lightning talk provides an update on the current state of machine lerning training activities. Additionally, the talk will introduce the training portal on the ML4AU website, which has been created to address some of the challenges faced by the trainer community.

You can watch the YouTube...

Keywords: machine learning, training, skills, community of practice, trainers, training material

ML4AU: Trainings, trainers and building an ML community https://dresa.org.au/materials/ml4au-trainings-trainers-and-building-an-ml-community-891b095f-91c2-461d-8039-1c25f50f5857 This lightning talk provides an update on the current state of machine lerning training activities. Additionally, the talk will introduce the training portal on the ML4AU website, which has been created to address some of the challenges faced by the trainer community. You can watch the YouTube video here: https://youtu.be/cQS0guC5_Cg contact@ardc.edu.au machine learning, training, skills, community of practice, trainers, 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
Time to fill the gaps: Building out a national training inventory

 

This community discussion seeks to bring together the instructors and facilitators tasked with upskilling researchers and support staff. While this collective dialogue among instructors is not new, what is new is the traction that various groups are getting.

The newly formed group of...

Keywords: training inventory, training registry, national skills initiatives, training material

Time to fill the gaps: Building out a national training inventory https://dresa.org.au/materials/time-to-fill-the-gaps-building-out-a-national-training-inventory-cd4f10d8-83c0-4870-95e2-ee9ed4aa72c7   This community discussion seeks to bring together the instructors and facilitators tasked with upskilling researchers and support staff. While this collective dialogue among instructors is not new, what is new is the traction that various groups are getting. The newly formed group of eResearch support staff gathered by the Melbourne Data Analytics Platform (MDAP) and Sydney Informatics Hub (SIH) is one such group, as is the Lightweight Working Group (LWG): Researcher digital skills training data for enabling digital infrastructure use, spearheaded by University of Melbourne’s David Flanders during the pre-Skills Summit discussions. In this session we seek to build on the momentum, by including a hands-on working session. Participants are asked to come with information to share and questions they seek to answer. During the first half of this session, attendees will populate a public document with shareable training details. The goal is to at least double the size of the new cross-institutional national training collection started by the LWG. The second half of this session will be to ask questions to arrive at next steps. What do we need to do to continue building out this national training inventory and who will be in charge of maintaining and distributing the archive? What platforms exist and are used to capture training data and material and make it readily maintainable and findable? Can the material be reused and how do we recognise and capture re-use? Do we know about how to apply a license to our materials for appropriate reuse or do we need guidance? While there will likely be more questions than these, one question has been answered. When can we move from talking to doing? That time is now. contact@ardc.edu.au training inventory, training registry, national skills initiatives, training material
Network Know-how and Data Handling Workshop

This workshop is a ‘train-the-trainer’ session that covers topics such as jargon busting, network literacy and data movement solutions. The workshop will also provide a peek at some collaborative research tools such as Jupyter Notebooks and CloudStor. You will learn about networks, integrated...

Keywords: Networks, data handling

Resource type: lesson, presentation

Network Know-how and Data Handling Workshop https://dresa.org.au/materials/network-know-how-and-data-handling-workshop This workshop is a ‘train-the-trainer’ session that covers topics such as jargon busting, network literacy and data movement solutions. The workshop will also provide a peek at some collaborative research tools such as Jupyter Notebooks and CloudStor. You will learn about networks, integrated tools, data and storage and where all these things fit in the researcher’s toolkit. This workshop is targeted at staff who would like to be more confident in giving advice to researchers about the options available to them. It is especially tailored for those with little to no technical knowledge and includes a hands-on component, using basic programming commands, but requires no previous knowledge of programming. Sara King - sara.king@aarnet.edu.au Burke, Melissa (orcid: 0000-0002-5571-8664) Networks, data handling
Time to fill the gaps: Building out a national training inventory

 

This community discussion seeks to bring together the instructors and facilitators tasked with upskilling researchers and support staff. While this collective dialogue among instructors is not new, what is new is the traction that various groups are getting.

The newly formed group of...

Keywords: training inventory, training registry, national skills initiatives, training material

Time to fill the gaps: Building out a national training inventory https://dresa.org.au/materials/time-to-fill-the-gaps-building-out-a-national-training-inventory   This community discussion seeks to bring together the instructors and facilitators tasked with upskilling researchers and support staff. While this collective dialogue among instructors is not new, what is new is the traction that various groups are getting. The newly formed group of eResearch support staff gathered by the Melbourne Data Analytics Platform (MDAP) and Sydney Informatics Hub (SIH) is one such group, as is the Lightweight Working Group (LWG): Researcher digital skills training data for enabling digital infrastructure use, spearheaded by University of Melbourne’s David Flanders during the pre-Skills Summit discussions. In this session we seek to build on the momentum, by including a hands-on working session. Participants are asked to come with information to share and questions they seek to answer. During the first half of this session, attendees will populate a public document with shareable training details. The goal is to at least double the size of the new cross-institutional national training collection started by the LWG. The second half of this session will be to ask questions to arrive at next steps. What do we need to do to continue building out this national training inventory and who will be in charge of maintaining and distributing the archive? What platforms exist and are used to capture training data and material and make it readily maintainable and findable? Can the material be reused and how do we recognise and capture re-use? Do we know about how to apply a license to our materials for appropriate reuse or do we need guidance? While there will likely be more questions than these, one question has been answered. When can we move from talking to doing? That time is now. contact@ardc.edu.au training inventory, training registry, national skills initiatives, training material
ML4AU: Trainings, trainers and building an ML community

This lightning talk provides an update on the current state of machine lerning training activities. Additionally, the talk will introduce the training portal on the ML4AU website, which has been created to address some of the challenges faced by the trainer community.

You can watch the YouTube...

Keywords: machine learning, training, skills, community of practice, trainers, training material

ML4AU: Trainings, trainers and building an ML community https://dresa.org.au/materials/ml4au-trainings-trainers-and-building-an-ml-community This lightning talk provides an update on the current state of machine lerning training activities. Additionally, the talk will introduce the training portal on the ML4AU website, which has been created to address some of the challenges faced by the trainer community. You can watch the YouTube video here: https://youtu.be/cQS0guC5_Cg contact@ardc.edu.au machine learning, training, skills, community of practice, trainers, 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-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