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Developing an organisation-wide framework to transform and uplift data capabilities

At the Bureau, data is the core of everything we do. We collect millions of observations from our networks and external sources and convert these into essential weather, climate, water and ocean services. To respond effectively to the rapidly evolving data landscape, the Data 2022 and Beyond...

Keywords: data skills, research data framework, data management, data governance, data skills uplift, data capabilities, skills development, innovative technologies, stakeholder engagement, training material

Developing an organisation-wide framework to transform and uplift data capabilities https://dresa.org.au/materials/developing-an-organisation-wide-framework-to-transform-and-uplift-data-capabilities At the Bureau, data is the core of everything we do. We collect millions of observations from our networks and external sources and convert these into essential weather, climate, water and ocean services. To respond effectively to the rapidly evolving data landscape, the Data 2022 and Beyond approach has been developed to position the organisation to maximise the impact and value of data. The approach means transforming our data governance, practices and processes. It provides opportunities to leverage, enhance and grow data skills and competencies, while harnessing innovative technologies and methodologies for managing and using data. The Bureau will highlight the complexities of developing an organisation wide data management program in an operational environment and share some examples, learnings and reflections on the uplift journey so far. Key topics will include establishing the team, resources and tools to enhance data governance practices as well as engaging and collaborating with stakeholders. Kathryn Unsworth (kathryn.unsworth@ardc.edu.au) data skills, research data framework, data management, data governance, data skills uplift, data capabilities, skills development, innovative technologies, stakeholder engagement, training material
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 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? Kathryn Unsworth (kathryn.unsworth@ardc.edu.au) training attendance, no shows, skills training, training material
DReSA: Project team reflections

This presentation provides thoughts and reflections from the Digital Research Skills Australaisa (DReSA) project team on DReSA. Team members highlight their perspectives on value propositions and benefits for their respective institutiosn/organisations and nationally, as well as individual...

Keywords: training events, training material, training repository, skilled workforce, digital research skills, digital research training, digital research, trainers, FAIR training

DReSA: Project team reflections https://dresa.org.au/materials/dresa-project-team-reflections This presentation provides thoughts and reflections from the Digital Research Skills Australaisa (DReSA) project team on DReSA. Team members highlight their perspectives on value propositions and benefits for their respective institutiosn/organisations and nationally, as well as individual reflections on collaboration and working together on the project so far. You can watch the video on YouTube here: https://youtu.be/qqH92itI8SI   Kathryn Unsworth (kathryn.unsworth@ardc.edu.au) training events, training material, training repository, skilled workforce, digital research skills, digital research training, digital research, trainers, FAIR training
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 Kathryn Unsworth (kathryn.unsworth@ardc.edu.au) training impact, evaluation, skills training, resourcing, value proposition, training material
ARDC Your first step to FAIR

This workshop gives a brief overview of the FAIR principles, including a method to make a one-file dataset FAIR.

Keywords: training material, FAIR, data, workshop

ARDC Your first step to FAIR https://dresa.org.au/materials/ardc-your-first-step-to-fair This workshop gives a brief overview of the FAIR principles, including a method to make a one-file dataset FAIR. Kathryn Unsworth (kathryn.unsworth@ardc.edu.au) Stokes, Liz (type: Editor) Martinez, Paula Andrea (type: Editor) Russell, Keith (type: Editor) training material, FAIR, data, workshop
An open source textbook for research software engineering

Over the past year, a group of Carpentries instructors have been working on an open source textbook called Research Software Engineering with Python. The book is a ready-to-go university semester course aimed at helping learners go from writing code for themselves, to creating tools that help...

Keywords: data skills, software skills, open source, research software, research software engineering, training material

An open source textbook for research software engineering https://dresa.org.au/materials/an-open-source-textbook-for-research-software-engineering Over the past year, a group of Carpentries instructors have been working on an open source textbook called Research Software Engineering with Python. The book is a ready-to-go university semester course aimed at helping learners go from writing code for themselves, to creating tools that help their entire field advance. A physical version of the book will be published with Taylor & Francis in early 2021. During the review phase of the publication process, we are seeking feedback on the content and scope of the book from the digital skills training community. Kathryn Unsworth (kathryn.unsworth@ardc.edu.au) data skills, software skills, open source, research software, research software engineering, training material
23 (research data) Things

23 (research data) things is a set of training materials exploring research data management. Each of the 23 things offers a variety of learning opportunities with activities at three levels of complexity:

  • Getting started
  • Learn more
  • Challenge me

All resources used in the program are online...

Keywords: research data management, training material

23 (research data) Things https://dresa.org.au/materials/23-research-data-things 23 (research data) things is a set of training materials exploring research data management. Each of the 23 things offers a variety of learning opportunities with activities at three levels of complexity: * Getting started * Learn more * Challenge me All resources used in the program are online and free to use and reuse under a Creative Commons Attribution 4.0 International licence. You could use all of them as a self-paced course, or choose components to integrate into your own course. The 23 things are designed to build knowledge as the program progresses, so if you’re new to the world of research data management, we suggest you start with things 1-3 and then decide where you want to go from there. These materials supported an international community-based training program delivered in 2016 by the Australian National Data Service. This release migrates these materials to a GitHub repository for continued maintenance. Some updates were made to material that was outdated. We welcome contributions and suggestions via GitHub Issue or Pull Request. Kathryn Unsworth (kathryn.unsworth@ardc.edu.au) research data management, training material
Locking the front door without leaving the windows open: positioning authentication technologies within the "Five Safes" framework for effective use of sensitive research data

This project explores the options for access to sensitive data sets; what authentication technologies (e.g. multi-factor authentication) are needed to access sensitive data and secure compute environments.  This project seeks to position choices around authentication technologies within the Five...

Keywords: ARDC, Storage and Compute Summit, FAIR, Infrastructure, NCRIS, eResearch, training material

Locking the front door without leaving the windows open: positioning authentication technologies within the "Five Safes" framework for effective use of sensitive research data https://dresa.org.au/materials/locking-the-front-door-without-leaving-the-windows-open-positioning-authentication-technologies-within-the-five-safes-framework-for-effective-use-of-sensitive-research-data This project explores the options for access to sensitive data sets; what authentication technologies (e.g. multi-factor authentication) are needed to access sensitive data and secure compute environments.  This project seeks to position choices around authentication technologies within the Five Safes framework for research use of sensitive data, proposed in 2003 by Felix Ritchie of the UK Office of National Statistics: • Safe Projects: is the proposed research use of the data appropriate?  • Safe People: can the users be trusted to use the data in an appropriate manner?  • Safe Settings: does the access facility limit unauthorised use? • Safe Data: is there a disclosure risk in the data itself? • Safe Outputs: are the research results non-disclosive i.e. they do not compromise privacy or breach confidentiality? Kathryn Unsworth (kathryn.unsworth@ardc.edu.au) ARDC, Storage and Compute Summit, FAIR, Infrastructure, NCRIS, eResearch, 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 Kathryn Unsworth (kathryn.unsworth@ardc.edu.au) training impact, evaluation, behavioual change, survey design, skills training, motivation, confidence, training material
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 Kathryn Unsworth (kathryn.unsworth@ardc.edu.au) training impact, evaluation, skills training, training strategy, community, survey design, 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. Kathryn Unsworth (kathryn.unsworth@ardc.edu.au) metadata, research data, data collections, data citation, data retention project, training material
Research Data Governance

This video contains key information for those who make research data-related decisions. It will help project leaders to start investigating ways to develop their own data governance policy, roles and responsibilities and procedures with the input of appropriate stakeholders.

If you want to share...

Keywords: data governance, data, research, FAIR, data management, authority, share, reuse, access, provenance, policy, responsibilities, ARDC_AU, training material

Research Data Governance https://dresa.org.au/materials/research-data-governance-cab2ebba-4e56-418d-b52f-197619e542f8 This video contains key information for those who make research data-related decisions. It will help project leaders to start investigating ways to develop their own data governance policy, roles and responsibilities and procedures with the input of appropriate stakeholders. If you want to share the video please use this: Australian Research Data Commons, 2021. Research Data Governance. [video] Available at: https://youtu.be/K_xVQRdgCIc  DOI: http://doi.org/10.5281/zenodo.5044585 [Accessed dd Month YYYY]. Kathryn Unsworth (kathryn.unsworth@ardc.edu.au) Martinez, Paula Andrea (type: ProjectLeader) Wilkinson, Max (type: Editor) Callaghan,Shannon (type: Editor) Savill, Jo (type: Editor) Kang, Kristan (type: Editor) Levett, Kerry (type: Editor) Russell, Keith (type: Editor) Simons, Natasha (type: Editor) data governance, data, research, FAIR, data management, authority, share, reuse, access, provenance, policy, responsibilities, ARDC_AU, 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 Kathryn Unsworth (kathryn.unsworth@ardc.edu.au) Small satellites, metadata, vocabularies, training material
ARDC Datacite API Jupyter notebook

This Jupyter notebook presents a low-barrier entry to using the DataCite REST API to mint, update, publish, and deleted DOIs and their associated metadata.

It was designed specifically to not use any third-party libraries so that it can be reused in almost any Jupyter notebook environment

Code...

Keywords: jupyter, notebook, DataCite, api, python, metadata, DOI, training material

ARDC Datacite API Jupyter notebook https://dresa.org.au/materials/ardc-datacite-api-jupyter-notebook This Jupyter notebook presents a low-barrier entry to using the DataCite REST API to mint, update, publish, and deleted DOIs and their associated metadata. It was designed specifically to not use any third-party libraries so that it can be reused in almost any Jupyter notebook environment Code is presented alongside human readable comments that explain the use of each component of the notebook. Kathryn Unsworth (kathryn.unsworth@ardc.edu.au) jupyter, notebook, DataCite, api, python, metadata, DOI, training material
Role profiles for the Bureau's Stewardship Model

This presentation provides an overview of the approach being taken in the creation of a Data Stewardship framework that looks at the tools, guidance, skills and clarity of data stewardship roles at the Bureau of Meteorology. A major focus of the framework is the creation of role profiles which...

Keywords: role profiles, data stewardship, data governance, data management, skills, training, training material

Role profiles for the Bureau's Stewardship Model https://dresa.org.au/materials/role-profiles-for-the-bureau-s-stewardship-model This presentation provides an overview of the approach being taken in the creation of a Data Stewardship framework that looks at the tools, guidance, skills and clarity of data stewardship roles at the Bureau of Meteorology. A major focus of the framework is the creation of role profiles which provide the role description, assignment and key responsibilities. You can watch the YouTube video here: https://youtu.be/RLf6B-NIffU Kathryn Unsworth (kathryn.unsworth@ardc.edu.au) role profiles, data stewardship, data governance, data management, skills, training, training material
Successful data training stories from NCI

NCI Australia manages a multi-petabyte sized data repository, collocated with its HPC systems and data services, which allows high performance access to many scientific research datasets across many earth science domains.
An important aspect is to provide training materials that proactively...

Keywords: skills, training, eresearch skills, HPC training, domain-specific training, reproducible workflows, training material

Successful data training stories from NCI https://dresa.org.au/materials/successful-data-training-stories-from-nci NCI Australia manages a multi-petabyte sized data repository, collocated with its HPC systems and data services, which allows high performance access to many scientific research datasets across many earth science domains. An important aspect is to provide training materials that proactively engages with the research community to improve their understanding of the data available, and to share knowledge and best practices in the use of tools and other software. We have developed multiple levels of training modules (introductory, intermediate and advanced) to cater for users with different levels of experience and interest. We have also tailored courses for each scientific domain, so that the use-cases and software will be most relevant to their interests and needs. For our training, we combine brief lectures followed by hands-on training examples on how to use datasets, using working examples of well-known tools and software that people can use as a template and modify to fit their needs. For example, we take representative use-cases from some scientific activities, from our collaborations and from user support issues, and convert to Jupyter notebook examples so that people can repeat the workfIow and reproduce the results. We also use the training as an opportunity to raise awareness of growing issues in resource management. Some examples include a familiarity of the FAIR data principles, licensing, citation, data management and trusted digital repositories. This approach to both our online training materials and workshops has been well-received by PhD students, early careers, and cross disciplinary users. Kathryn Unsworth (kathryn.unsworth@ardc.edu.au) skills, training, eresearch skills, HPC training, domain-specific training, reproducible workflows, 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 Kathryn Unsworth (kathryn.unsworth@ardc.edu.au) machine learning, training, skills, community of practice, trainers, training material
eResearch Services and Capabilities

Over the last two years, the Federation for the Advancement of Victorian eResearch (FAVeR) has been working towards some understanding of the eResearch roles space, leading to the establishment of a project called 'Advancing the professionalisation of our eResearch workforce'.

The goal of this...

Keywords: skills, training, digitally skilled workforce, eresearch services, capabilities, training material

eResearch Services and Capabilities https://dresa.org.au/materials/eresearch-services-and-capabilities Over the last two years, the Federation for the Advancement of Victorian eResearch (FAVeR) has been working towards some understanding of the eResearch roles space, leading to the establishment of a project called 'Advancing the professionalisation of our eResearch workforce'. The goal of this project is to provide a common understanding of the eResearch capabilities, from which appropriate skill sets can be derived for positions or teams. In this presentation we will share an overview of the project, including: FAVeR and the APeRW Working Group, the eResearch Value Proposition and Chain, draft eResearch Services, and example capabilities. In addition, we will share the early results of a planned community consultation, which has been proposed as a ‘Birds of a Feather’ session at eResearch Australasia 2020. This consultation aims to elicit feedback, from the broader eResearch community, on the following questions: ● Are there other aspects of eResearch Services? What falls outside the scope of the service and capabilities descriptions? ● Is there a priority between eResearch Services? e.g. Mandatory, optional, and dependencies. What’s required when for deploying an e/Digital Research support unit. What’s the priority order and what’s the minimum required? ● Is there a distinction between general and specialised capabilities? e.g. Are there cross service eResearch capabilities. This presentation will be of interest primarily to Decision-makers and managers and Digitally focussed research support professionals. Kathryn Unsworth (kathryn.unsworth@ardc.edu.au) skills, training, digitally skilled workforce, eresearch services, capabilities, 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. Kathryn Unsworth (kathryn.unsworth@ardc.edu.au) data skills, training partnerships, data science, AI, training material
Data Fluency: a community of practice supporting a digitally skilled workforce

This presentation showcases the impact of the Monash Data Fluency Community of Practice upon digitally skilled Graduate Research students involved as learners and instructors in the program. The strong focus on building community to complement training, has fostered an environment of learning,...

Keywords: skills, training, eresearch skills, data skills, online learning, pedagogy, train the trainer, digitally skilled workforce, training material

Data Fluency: a community of practice supporting a digitally skilled workforce https://dresa.org.au/materials/data-fluency-a-community-of-practice-supporting-a-digitally-skilled-workforce This presentation showcases the impact of the Monash Data Fluency Community of Practice upon digitally skilled Graduate Research students involved as learners and instructors in the program. The strong focus on building community to complement training, has fostered an environment of learning, networking and sharing of expertise. Hear what the Graduate research students have to say about the value of skills training and how it has impacted their research; how the community has enabled them to network with a broad range of researchers and affiliate partner groups they would not ordinarily be in contact with; how their research journey has been enhanced by working as part of a multi-disciplinary team, as well as sharpening their teaching skills. The rapid refocus from face - face to online delivery, as a result of the pandemic, highlights the importance of the multi-faceted online approach including workshops, drop-in sessions, SLACK chat and online learning resources. As a result of the shift to online, the range of strategic external partner/affiliate groups has extended and demand for workshops and drop-ins has increased.  Learn how the instructors have altered their pedagogical approach to engage workshop and drop-in participants; how they have overcome some of the challenges of facilitating in an online environment; and how this is preparing them to become part of a digitally skilled workforce. Kathryn Unsworth (kathryn.unsworth@ardc.edu.au) skills, training, eresearch skills, data skills, online learning, pedagogy, train the trainer, digitally skilled workforce, training material
Data Policy

Increasing the availability of research data for reuse is in part being driven by research data policies. While the number of research funders, journals and institutions with some form of research data policy is growing, the landscape is complex and therefore the implementation and implications...

Keywords: policy, data policy, publishers, training material

Data Policy https://dresa.org.au/materials/data-policy Increasing the availability of research data for reuse is in part being driven by research data policies. While the number of research funders, journals and institutions with some form of research data policy is growing, the landscape is complex and therefore the implementation and implications of policies for researchers can be unclear, confusing and sometimes even contradictory. The RDA Data Policy Standardisation and Implementation IG was established to help address these challenges. Initially the Group focussed on Developing a Research Data Policy Framework for All Journals and Publishers and with journal adoptions of the framework growing, the Group is now focussing on alignment between publishers and funders. This session provided an overview of the joint session held at RDA P17 of the Research Funders and Stakeholders on Open Research and Data Management and Practices IG, the Data Policy Standardisation and Implementation IG and the FAIRsharing WG. The focus of this RDA VP17 session was to provide an overview of a joint project to examine funder-publisher policy alignment and provide recommendations on how to improve alignment. Kathryn Unsworth (kathryn.unsworth@ardc.edu.au) policy, data policy, publishers, training material
Persistent Identifiers for Research: a talk to the Australasian DMP Interest Group

ARDC's Data Management Planning Interest Group hosted a meetup on persistent identifiers and data management planning infrastructure on 17 June 2021. These slides accompanied Siobhann McCafferty's talk on PIDs infrastructure, RAiD and the Instruments for Identifiers Australasia Interest Group...

Keywords: DMP, data management plans, infrastructure, research support, persistent identifiers, research data management, research infrastructure, training material

Persistent Identifiers for Research: a talk to the Australasian DMP Interest Group https://dresa.org.au/materials/persistent-identifiers-for-research-a-talk-to-the-australasian-dmp-interest-group ARDC's Data Management Planning Interest Group hosted a meetup on persistent identifiers and data management planning infrastructure on 17 June 2021. These slides accompanied Siobhann McCafferty's talk on PIDs infrastructure, RAiD and the Instruments for Identifiers Australasia Interest Group (I4IOZ). Kathryn Unsworth (kathryn.unsworth@ardc.edu.au) DMP, data management plans, infrastructure, research support, persistent identifiers, research data management, research infrastructure, training material
OECD Report - Building digital workforce capacity and skills for data-intensive science (2020)

 

As a lead contributor to the OECD's Building Digital Workforce Capacity and Skills for Data-Intensive Science (2020) report, Dr Michelle Barker outlines in this presentation the goal of the report, i.e. to make recommendations to policy makers on how to facilitate the digital workforce...

Keywords: international skills initiatives, skills, training, OECD, EOSC, Capability building, Skills uplift, skills development, digital skilled workforce, training material

OECD Report - Building digital workforce capacity and skills for data-intensive science (2020) https://dresa.org.au/materials/oecd-report-building-digital-workforce-capacity-and-skills-for-data-intensive-science-2020   As a lead contributor to the OECD's Building Digital Workforce Capacity and Skills for Data-Intensive Science (2020) report, Dr Michelle Barker outlines in this presentation the goal of the report, i.e. to make recommendations to policy makers on how to facilitate the digital workforce capacity needed for data-intensive science, based on analysis of best practice. The presentation highlights: - Digital workforce capacity and COVID19: the importance of digital skills, the need for shared access to open data, software and code, and the shortfall in skills to enable a comprehensive response to such emergencies - The ongoing need for a digital skilled workforce for data-intensive science - Five focus areas in the report include: 1. Enablers for digital workforce capacity development 2. Defining needs: digital skills, frameworks and roles 3. Provision of training 4. Community development 5. Career paths and reward structures - Recommendations for actors incl. universities, national or regional governments Kathryn Unsworth (kathryn.unsworth@ardc.edu.au) international skills initiatives, skills, training, OECD, EOSC, Capability building, Skills uplift, skills development, digital skilled workforce, training material
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. Kathryn Unsworth (kathryn.unsworth@ardc.edu.au) training inventory, training registry, national skills initiatives, training material
Opening the Skills Summit - introduction and brief overview of ARDC

Introduction and welcome to the Skills Summit, a brief overwiew of ARDC, its purpose, mission and activities, including ARDC's role in skills development.

Keywords: ARDC, Skills Development, Skills Summit, training material

Opening the Skills Summit - introduction and brief overview of ARDC https://dresa.org.au/materials/opening-the-skills-summit-introduction-and-brief-overview-of-ardc Introduction and welcome to the Skills Summit, a brief overwiew of ARDC, its purpose, mission and activities, including ARDC's role in skills development. Kathryn Unsworth (kathryn.unsworth@ardc.edu.au) ARDC, Skills Development, Skills Summit, 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. Kathryn Unsworth (kathryn.unsworth@ardc.edu.au) training material, FAIR data, video, webinar, activities, quiz, FAIR, research data management
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 Kathryn Unsworth (kathryn.unsworth@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.

Keywords: Software citation, Software publishing, Software registries, Software Repositories, research Software, training material

Software publishing, licensing, and citation https://dresa.org.au/materials/software-publishing-licensing-and-citation-ddd6f43a-a790-4b8a-b6b4-273b3eb3c9d1 A short presentation for reuse includes speaker notes. Making software citable using a code repository, an ORCID and a licence. Kathryn Unsworth (kathryn.unsworth@ardc.edu.au) Martinez, Paula Andrea (type: ProjectLeader) Software citation, Software publishing, Software registries, Software Repositories, research Software, training material
Astronomy Data And Computing Services - Upskilling the Australian astronomy community

The Astronomy Data And Computing Services (ADACS) initiative has been working with the Australian astronomy community for just over 3 years now. Our vision is to deliver astronomy-focused training, support and expertise to maximise the scientific return on investments in astronomical data &...

Keywords: astronomy, data skills, eresearch skills, skills, computational skills, training, skills gaps, astronomy-focused training, training material

Astronomy Data And Computing Services - Upskilling the Australian astronomy community https://dresa.org.au/materials/astronomy-data-and-computing-services-upskilling-the-australian-astronomy-community The Astronomy Data And Computing Services (ADACS) initiative has been working with the Australian astronomy community for just over 3 years now. Our vision is to deliver astronomy-focused training, support and expertise to maximise the scientific return on investments in astronomical data & computing infrastructure. During these last 3 years, we have delivered dozens of face-to-face, hands-on workshops and created several hours worth of online tutorial materials. This talk will focus on our journey to deliver this computational skills training to the community, exploring how we chose different delivery pathways and content, based both on community input as well as our professional expertise and understanding of existing skill gaps. Most importantly we will discuss our plans for the future and how we are working on actively including the community in developing new training material beyond the usual skills survey. Come along to this talk if you would like to hear about a national effort to deliver computational skills training and would like to know more about potential new avenues to provide just-in-time training and how to collaborate with ADACS.  Kathryn Unsworth (kathryn.unsworth@ardc.edu.au) astronomy, data skills, eresearch skills, skills, computational skills, training, skills gaps, astronomy-focused training, 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. Kathryn Unsworth (kathryn.unsworth@ardc.edu.au) AI, machine learning, eresearch skills, training, train the trainer, volunteer instructors, training partnerships, training material