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Keywords: AI  or metadata  or skills training  or Species Distribution Modelling 

ALA Labs

ALA Labs provides resources and articles from the Atlas of Living Australia's Science and Decision Support team. On the website, you can find:

  • Posts: Code, articles, analyses and visualisations that will hopefully help you in your own work
  • Research: Highlighted summaries of scientific...

Keywords: Ecology, R, Python, Rstats, Biodiversity data, Open science, Reproducibility, Coding, Data cleaning, Data visualisation, Species Distribution Modelling, Beginner R coding

ALA Labs https://dresa.org.au/materials/ala-labs ALA Labs provides resources and articles from the Atlas of Living Australia's Science and Decision Support team. On the website, you can find: - Posts: Code, articles, analyses and visualisations that will hopefully help you in your own work - Research: Highlighted summaries of scientific research that has used data from the Atlas of Living Australia - Software: R & Python packages that the Science & Decision Support team manage - Books: Long-form resources with best-practice data wrangling and visualisation - Gallery: Showcasing external work that uses tools from ALA Labs Atlas of Living Australia support@ala.org.au Ecology, R, Python, Rstats, Biodiversity data, Open science, Reproducibility, Coding, Data cleaning, Data visualisation, Species Distribution Modelling, Beginner R coding
Biosecurity Commons written support material

A variety of written material describing the fundamentals of the workflows available on Biosecurity Commons as well as guides to navigating the platform.

Includes: Risk Mapping, Dispersal Modelling, Surveillance Design, Impact Analysis and Proof of Freedom.

Keywords: Biosecurity Commons, Biosecurity, risk mapping, Species Distribution Modelling, dispersal modelling, surveillance design, impact analysis, proof of freedom

Biosecurity Commons written support material https://dresa.org.au/materials/biosecurity-commons-written-support-material A variety of written material describing the fundamentals of the workflows available on Biosecurity Commons as well as guides to navigating the platform. Includes: Risk Mapping, Dispersal Modelling, Surveillance Design, Impact Analysis and Proof of Freedom. https://www.biosecuritycommons.org.au/contact-us/ Biosecurity Commons, Biosecurity, risk mapping, Species Distribution Modelling, dispersal modelling, surveillance design, impact analysis, proof of freedom professional support ugrad masters mbr phd
Biosecurity Commons YouTube instructional videos

This growing set of instructional videos teaches users how to navigate the platform and how to run the variety of workflows available on the platform. An increasing number of these videos will be embedded into the platform https://app.biosecuritycommons.org.au/

Keywords: Biosecurity, risk mapping, Species Distribution Modelling, Biosecurity Commons

Biosecurity Commons YouTube instructional videos https://dresa.org.au/materials/biosecurity-commons-youtube-instructional-videos This growing set of instructional videos teaches users how to navigate the platform and how to run the variety of workflows available on the platform. An increasing number of these videos will be embedded into the platform https://app.biosecuritycommons.org.au/ https://www.biosecuritycommons.org.au/contact-us/ Biosecurity, risk mapping, Species Distribution Modelling, Biosecurity Commons support professional masters mbr phd
EcoCommons written support material, species distribution models explained and platform guides

These written descriptions on how to use the EcoCommons platform, the descriptions of the variety of species distribution models (SDM) available and the how to design and run and SDM have proven very popular with students whose instructors are using EcoCommons to teach basic SDM. They also...

Keywords: Species Distribution Modelling, Ecology, EcoCommons

EcoCommons written support material, species distribution models explained and platform guides https://dresa.org.au/materials/ecocommons-written-support-material-species-distribution-models-explained-and-platform-guides These written descriptions on how to use the EcoCommons platform, the descriptions of the variety of species distribution models (SDM) available and the how to design and run and SDM have proven very popular with students whose instructors are using EcoCommons to teach basic SDM. They also provide useful references for anyone using the platform. https://www.ecocommons.org.au/contact/ Species Distribution Modelling, Ecology, EcoCommons ugrad masters mbr phd
EcoCommons use case estimating % of suitable habitat impacted by bushfires & utility of HCAS

We compare a variety of ways of estimating the percentage of suitable habitat impacted by the massive bushfires in eastern Australia (2019-2020), by comparing different SDM modelling algorithms, and inclusion of the Habitat Condition Assessment System (HCAS) derived variable.

Models were run...

Keywords: Species Distribution Modelling, HCAS, Fire, Ecology, EcoCommons

EcoCommons use case estimating % of suitable habitat impacted by bushfires & utility of HCAS https://dresa.org.au/materials/ecocommons-use-case-estimating-of-suitable-habitat-impacted-by-bushfires-utility-of-hcas We compare a variety of ways of estimating the percentage of suitable habitat impacted by the massive bushfires in eastern Australia (2019-2020), by comparing different SDM modelling algorithms, and inclusion of the Habitat Condition Assessment System (HCAS) derived variable. Models were run using the EcoCommons point-and-click SDM tools, and overlayed with a burnt area map https://researchdata.edu.au/google-earth-engine-map-geebam/1441550 to estimate % of suitable habitat that was impacted. HCAS data available: https://doi.org/10.25919/5j5j-4p06 https://www.ecocommons.org.au/contact/ Species Distribution Modelling, HCAS, Fire, Ecology, EcoCommons
EcoCommons & Open EcoAcoustics SDM use case

  1. Examples of code and the associated text summaries describe how open ecoacoustics https://openecoacoustics.org/ data can generate better SDM predictions. By using long-term monitoring data from https://acousticobservatory.org/ which allows analysts to infer absence locations, which does a much...

Keywords: Species Distribution Modelling, Ecoacoustics, Ecology, Owls, Mapping uncertainty

EcoCommons & Open EcoAcoustics SDM use case https://dresa.org.au/materials/ecocommons-open-ecoacoustics-sdm-use-case 1. Examples of code and the associated text summaries describe how open ecoacoustics https://openecoacoustics.org/ data can generate better SDM predictions. By using long-term monitoring data from https://acousticobservatory.org/ which allows analysts to infer absence locations, which does a much better job at predicting distributions than presence only methods, and which facilitate use of call frequency as a response variable rather than presence absence. The code and data used to generate these examples: https://github.com/andrew-1234/sdm-usecase-master 2. Shows one way to overlay areas with the least geographically and environmentally representative sampling in addition to the predicted probability of occurrence generated by an SDM. This shows how to spatially represent areas where additional acoustic sampling would increase representative sampling most. The code used in this example: https://github.com/EcoCommons-Australia/educational_material/tree/main/SDMs_in_R/Scripts/adding_uncertainty_to_the_map https://www.ecocommons.org.au/contact/ Species Distribution Modelling, Ecoacoustics, Ecology, Owls, Mapping uncertainty ugrad masters mbr phd
EcoCommons Marine use case

This is a toy example with many of the steps required for a robust example not included. This does show how to pull together marine data from IMOS / AODN and summarise those environmental predictors and occurrence data by month. Then we show how you can pull together one model with predictors...

Keywords: Species Distribution Modelling, SDM temporal predictions, Ecology, Marine seasonal distributions, R statistical software

EcoCommons Marine use case https://dresa.org.au/materials/ecocommons-marine-use-case This is a toy example with many of the steps required for a robust example not included. This does show how to pull together marine data from IMOS / AODN and summarise those environmental predictors and occurrence data by month. Then we show how you can pull together one model with predictors that are both temporally (monthly) and spatially (Australian waters) explicit. Again, a robust example would need calibration and validation steps, but this example does show how SDMs can be developed across time. The data and code needed to run these examples is here: https://github.com/EcoCommons-Australia/educational_material/tree/main/Marine_use_case https://www.ecocommons.org.au/contact/ Species Distribution Modelling, SDM temporal predictions, Ecology, Marine seasonal distributions, R statistical software ugrad masters mbr phd ecr
Species Distribution Modelling in R

This set of scripts and videos provide an introduction to running SDMs in R and include some steps to consider that go beyond what's available in the EcoCommons SDM point-and-click tools.

Five videos include: 1. An introduction to SDM in R, 2. occurrence data, 3. environmental data, 4. fitting...

Keywords: Species Distribution Modelling, Ecology, R software, EcoCommons

Species Distribution Modelling in R https://dresa.org.au/materials/species-distribution-modelling-in-r This set of scripts and videos provide an introduction to running SDMs in R and include some steps to consider that go beyond what's available in the EcoCommons SDM point-and-click tools. Five videos include: 1. An introduction to SDM in R, 2. occurrence data, 3. environmental data, 4. fitting your model, 5. model evaluation Scripts and files are available here: https://github.com/EcoCommons-Australia/educational_material/tree/main/SDMs_in_R/Scripts Scripts for all four modules are here: https://www.ecocommons.org.au/wp-content/uploads/EcoCommons_steps_1_to_4.html https://www.ecocommons.org.au/contact/ Species Distribution Modelling, Ecology, R software, EcoCommons ugrad mbr phd
Discovering Species Distribution Modelling with BCCVL

A set of 10 videos that provide an excellent introduction to species distribution modelling. These modules include: 1. Introduction to SDM, 2. Ecological theory of SDM, 3. Data for SDMs, 4. Design an SDM, 5. Presence only models, 6. Statistical models, 7. Machine learning models, 8. Model...

Keywords: Species Distribution Modelling, Ecology, EcoCommons, Beginer ecological modelling, Climate projections

Discovering Species Distribution Modelling with BCCVL https://dresa.org.au/materials/discovering-species-distribution-modelling-with-bccvl A set of 10 videos that provide an excellent introduction to species distribution modelling. These modules include: 1. Introduction to SDM, 2. Ecological theory of SDM, 3. Data for SDMs, 4. Design an SDM, 5. Presence only models, 6. Statistical models, 7. Machine learning models, 8. Model evaluation, 9. SDMs and climate change projections, 10. Case studies in BCCVL https://www.ecocommons.org.au/contact/ Species Distribution Modelling, Ecology, EcoCommons, Beginer ecological modelling, Climate projections ugrad mbr
EcoCommons Modelling Made Easy

These ten videos walk users through some of the point-and-click functionality available on the EcoCommons platform including: 1. Navigating the EcoCommons platform, 2. Exploring environmental and climate grids available on the platform, 3. Importing your own data, 4. How to run a Species...

Keywords: Species Distribution Modelling, Climate projections , EcoCommons, Ecology

Resource type: video

EcoCommons Modelling Made Easy https://dresa.org.au/materials/ecocommons-modelling-made-easy These ten videos walk users through some of the point-and-click functionality available on the EcoCommons platform including: 1. Navigating the EcoCommons platform, 2. Exploring environmental and climate grids available on the platform, 3. Importing your own data, 4. How to run a Species Distribution Model (SDM), 5. Predicting how distributions will change under climate change, 6. Running simple (averaged) ensemble models of SDMs, 7. An introduction to toy species trait problems that highlight how variation in species traits can be predicted spatially, 8. An introduction to Biosecurity Risk Mapping, 9. How to run SDMs for multiple species, 10. A multiple species SDM use case support@ecocommons.org.au Species Distribution Modelling, Climate projections , EcoCommons, Ecology ugrad mbr phd
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-4d1ea222-4240-4b68-b9ae-7769ac664ee0 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-70a328d3-a1e1-45ce-bac0-d8b896db4ca0 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-a2435a20-bfa5-457d-afa3-08193a199f24 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
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-2d8a65fa-f96e-44ad-a026-cfae3f38d128 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
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-8c82060d-5eea-4091-af7b-396c9c073dab 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
MetaSat. An open, collaboratively-developed metadata toolkit to support the future of space exploration.

MetaSat is an open metadata toolkit for describing small satellite (and even large satellite) missions in a uniform and shareable way. Optimised for small satellite missions, MetaSat fills an informatics gap. Although there have been a number of relevant metadata sets, there has been a...

Keywords: Small satellites, metadata, vocabularies, training material

MetaSat. An open, collaboratively-developed metadata toolkit to support the future of space exploration. https://dresa.org.au/materials/metasat-an-open-collaboratively-developed-metadata-toolkit-to-support-the-future-of-space-exploration-49af7d4d-f0d1-4f95-9fbe-afbd45170a6a MetaSat is an open metadata toolkit for describing small satellite (and even large satellite) missions in a uniform and shareable way. Optimised for small satellite missions, MetaSat fills an informatics gap. Although there have been a number of relevant metadata sets, there has been a longstanding need for a vocabulary to span these community standards. A vocabulary to annotate the data and information outputs of these satellite missions, to enable search across disparate data repositories, and provide support for application of analytical services to retrieved datasets. A common problem among small satellite teams is finding information about how other small satellites were put together, what parts worked well, what weren't compatible, what were the mission goals and outcomes. A lot of this information can be found, but it's not usually described in a consistent and searchable way across projects. MetaSat helps by building a uniform language of description which can be embedded into small satellite databases and tools to connect information across projects. Although a relatively new vocabulary initiative, MetaSat has secured early adoption by SatNOGS, a global network of ground stations that collects, manages & enables access to satellite observations. Also partnering with NASA's Small Satellite Reliability Initiative, and in discussion with NASA concerning implementation of the vocabulary in other areas of its information infrastructure. You can watch the full presentation on YouTube here: https://www.youtube.com/watch?v=uaCOzNL1eh4 contact@ardc.edu.au Small satellites, metadata, vocabularies, training material
ARDC Training Materials Metadata Checklist v1.1

The ARDC Training Materials Metadata Checklist aims to support learning designers, training materials creators, trainers and national training infrastructure providers to capture key information and apply appropriate mechanisms to enable sharing and reuse of their training materials

Keywords: checklist, Training material, FAIR, standard, requirements, metadata

ARDC Training Materials Metadata Checklist v1.1 https://dresa.org.au/materials/ardc-training-materials-metadata-checklist-v1-1 The ARDC Training Materials Metadata Checklist aims to support learning designers, training materials creators, trainers and national training infrastructure providers to capture key information and apply appropriate mechanisms to enable sharing and reuse of their training materials contact@ardc.edu.au checklist, Training material, FAIR, standard, requirements, metadata
Show & Tell - Tackling 'no shows'

In this session, questions were asked on how to tackle 'no shows' for training events:

  • What are the motivations behind ‘no shows’?

  • What % of ‘no shows’ is acceptable? Any data on that?

  • Do we need to lay some gentle guilt trips?

  • Community Slides

  • Tackling ‘no shows’. What is your...

Keywords: training attendance, no shows, skills training, training material

Show & Tell - Tackling 'no shows' https://dresa.org.au/materials/show-tell-tackling-no-shows-9f0d32c0-b2af-4624-9df1-d4e087da81b6 In this session, questions were asked on how to tackle 'no shows' for training events: - What are the motivations behind ‘no shows’? - What % of ‘no shows’ is acceptable? Any data on that? - Do we need to lay some gentle guilt trips? - Community Slides - Tackling ‘no shows’. What is your approach? What would you be willing to try? contact@ardc.edu.au training attendance, no shows, skills training, 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-8082bf73-d20f-4214-ad8c-95123e25a36c 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
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-e9d63cee-0d9c-4f8d-9c0f-58afe99b649b 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
Coding and Software Club at the Burnet Institute: a Sisyphean story of normalising peer-to-peer learning

This presentation outlines the Burnet Institute and its Coding and Software Club. What motivated the establishment of the Club and what keeps it going, the tools used to engage, teach and learn and finally, how the Club has impacted people at various levels of the organisation. Also explored are...

Keywords: coding, software, training impact, culture change, community, skills training, training material

Coding and Software Club at the Burnet Institute: a Sisyphean story of normalising peer-to-peer learning https://dresa.org.au/materials/coding-and-software-club-at-the-burnet-institute-a-sisyphean-story-of-normalising-peer-to-peer-learning-665e90f8-6fd5-49e7-9476-e16b6ffe17c6 This presentation outlines the Burnet Institute and its Coding and Software Club. What motivated the establishment of the Club and what keeps it going, the tools used to engage, teach and learn and finally, how the Club has impacted people at various levels of the organisation. Also explored are the challenges, opportunities and lessons learnt - valuable insights into what it tkaes to keep a community focused and enduring. You can watch the video on YouTube here: https://youtu.be/c2syM1Dfqbo contact@ardc.edu.au coding, software, training impact, culture change, community, skills training, training material
Why am I being asked for metadata about my research data?

Find out why metadata are important for your research data collection. This brochure shares the reasons why researchers should use metadata for their data collections.

This brochure was prepared for the ARDC Data Retention Project...

Keywords: metadata, research data, data collections, data citation, data retention project, training material

Why am I being asked for metadata about my research data? https://dresa.org.au/materials/why-am-i-being-asked-for-metadata-about-my-research-data-03b1895a-44bf-4961-a0a3-bd4770297236 Find out why metadata are important for your research data collection. This brochure shares the reasons why researchers should use metadata for their data collections. This brochure was prepared for the ARDC Data Retention Project https://ardc.edu.au/collaborations/strategic-activities/data-retention-project/. It is for researchers at any institution in Australia. contact@ardc.edu.au metadata, research data, data collections, data citation, data retention project, training material
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
Coding and Software Club at the Burnet Institute: a Sisyphean story of normalising peer-to-peer learning

This presentation outlines the Burnet Institute and its Coding and Software Club. What motivated the establishment of the Club and what keeps it going, the tools used to engage, teach and learn and finally, how the Club has impacted people at various levels of the organisation. Also explored are...

Keywords: coding, software, training impact, culture change, community, skills training, training material

Coding and Software Club at the Burnet Institute: a Sisyphean story of normalising peer-to-peer learning https://dresa.org.au/materials/coding-and-software-club-at-the-burnet-institute-a-sisyphean-story-of-normalising-peer-to-peer-learning This presentation outlines the Burnet Institute and its Coding and Software Club. What motivated the establishment of the Club and what keeps it going, the tools used to engage, teach and learn and finally, how the Club has impacted people at various levels of the organisation. Also explored are the challenges, opportunities and lessons learnt - valuable insights into what it tkaes to keep a community focused and enduring. You can watch the video on YouTube here: https://youtu.be/c2syM1Dfqbo contact@ardc.edu.au coding, software, training impact, culture change, community, 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
MetaSat. An open, collaboratively-developed metadata toolkit to support the future of space exploration.

MetaSat is an open metadata toolkit for describing small satellite (and even large satellite) missions in a uniform and shareable way. Optimised for small satellite missions, MetaSat fills an informatics gap. Although there have been a number of relevant metadata sets, there has been a...

Keywords: Small satellites, metadata, vocabularies, training material

MetaSat. An open, collaboratively-developed metadata toolkit to support the future of space exploration. https://dresa.org.au/materials/metasat-an-open-collaboratively-developed-metadata-toolkit-to-support-the-future-of-space-exploration MetaSat is an open metadata toolkit for describing small satellite (and even large satellite) missions in a uniform and shareable way. Optimised for small satellite missions, MetaSat fills an informatics gap. Although there have been a number of relevant metadata sets, there has been a longstanding need for a vocabulary to span these community standards. A vocabulary to annotate the data and information outputs of these satellite missions, to enable search across disparate data repositories, and provide support for application of analytical services to retrieved datasets. A common problem among small satellite teams is finding information about how other small satellites were put together, what parts worked well, what weren't compatible, what were the mission goals and outcomes. A lot of this information can be found, but it's not usually described in a consistent and searchable way across projects. MetaSat helps by building a uniform language of description which can be embedded into small satellite databases and tools to connect information across projects. Although a relatively new vocabulary initiative, MetaSat has secured early adoption by SatNOGS, a global network of ground stations that collects, manages & enables access to satellite observations. Also partnering with NASA's Small Satellite Reliability Initiative, and in discussion with NASA concerning implementation of the vocabulary in other areas of its information infrastructure. You can watch the full presentation on YouTube here: https://www.youtube.com/watch?v=uaCOzNL1eh4 contact@ardc.edu.au Small satellites, metadata, vocabularies, training material
Why am I being asked for metadata about my research data?

Find out why metadata are important for your research data collection. This brochure shares the reasons why researchers should use metadata for their data collections.

This brochure was prepared for the ARDC Data Retention Project...

Keywords: metadata, research data, data collections, data citation, data retention project, training material

Why am I being asked for metadata about my research data? https://dresa.org.au/materials/why-am-i-being-asked-for-metadata-about-my-research-data Find out why metadata are important for your research data collection. This brochure shares the reasons why researchers should use metadata for their data collections. This brochure was prepared for the ARDC Data Retention Project https://ardc.edu.au/collaborations/strategic-activities/data-retention-project/. It is for researchers at any institution in Australia. contact@ardc.edu.au metadata, research data, data collections, data citation, data retention project, training material