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Authors: Yuri Banens  or Crowe, Mark (orcid: 0000-00... 

WORKSHOP: R: fundamental skills for biologists

This record includes training materials associated with the Australian BioCommons workshop ‘R: fundamental skills for biologists’. This workshop took place over four, three-hour sessions on 1, 8, 15 and 22 June 2022.

 

Event description

Biologists need data analysis skills to be able to...

Keywords: Bioinformatics, Analysis, Statistics, R software, RStudio, Data visualisation

WORKSHOP: R: fundamental skills for biologists https://dresa.org.au/materials/workshop-r-fundamental-skills-for-biologists-81aa00db-63ad-4962-a7ac-b885bf9f676b This record includes training materials associated with the Australian BioCommons workshop ‘R: fundamental skills for biologists’. This workshop took place over four, three-hour sessions on 1, 8, 15 and 22 June 2022.   Event description Biologists need data analysis skills to be able to interpret, visualise and communicate their research results. While Excel can cover some data analysis needs, there is a better choice, particularly for large and complex datasets.  R is a free, open-source software and programming language that enables data exploration, statistical analysis, visualisation and more. The large variety of R packages available for analysing biological data make it a robust and flexible option for data of all shapes and sizes.  Getting started can be a little daunting for those without a background in statistics and programming. In this workshop we will equip you with the foundations for getting the most out of R and RStudio, an interactive way of structuring and keeping track of your work in R. Using biological data from a model of influenza infection, you will learn how to efficiently and reproducibly organise, read, wrangle, analyse, visualise and generate reports from your data in R. Topics covered in this workshop include: Spreadsheets, organising data and first steps with R Manipulating and analysing data with dplyr Data visualisation Summarized experiments and getting started with Bioconductor   This workshop is presented by the Australian BioCommons and Saskia Freytag from WEHI  with the assistance of a network of facilitators from the national Bioinformatics Training Cooperative. 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. Schedule (PDF): A breakdown of the topics and timings for the workshop Recommended resources (PDF): A list of resources recommended by trainers and participants Q_and_A(PDF): Archive of questions and their answers from the workshop Slack Channel. Materials shared elsewhere:   This workshop follows the tutorial ‘Introduction to data analysis with R and Bioconductor’ which is publicly available. https://saskiafreytag.github.io/biocommons-r-intro/ This is derived from material produced as part of The Carpentries Incubator project https://carpentries-incubator.github.io/bioc-intro/ Melissa Burke (melissa@biocommons.org.au) Bioinformatics, Analysis, Statistics, R software, RStudio, Data visualisation
ARDC 2023 Skills Summit Lightning Talks (Day 1 - February 9, 2023)

Presentations to the ARDC Skills Summit 2023 (Lightning Talks Day 1 - February 9th, 2023)
Dr Pablo Franco - Assessing the effectiveness of training: Teaching digital skills to researchers
Aidan Wilson - Scaling training operations & succession planning
Dr Paula Martinez - Building...

Keywords: training material, research, training, Kirkpatrick framework, RezBaz, impact, skills, impact assessment, training at scale, succession planning, automated training organisation systems, trainer workforce, research software community, participation models, community building, visible research software interest group, carpentries, social infrastructure

ARDC 2023 Skills Summit Lightning Talks (Day 1 - February 9, 2023) https://dresa.org.au/materials/ardc-2023-skills-summit-lightning-talks-day-1-february-9-2023-c91367d6-2366-4a4e-aa05-631d1e5fd95f Presentations to the ARDC Skills Summit 2023 (Lightning Talks Day 1 - February 9th, 2023) Dr Pablo Franco - Assessing the effectiveness of training: Teaching digital skills to researchers Aidan Wilson - Scaling training operations & succession planning Dr Paula Martinez - Building community Dr Mark Crowe - Bringing training to research communities - ResBaz Liz Stokes - The Carpentries Partnership These presentations cover theoretical frameworks for assessing training, The Kirkpatrick Model of Training Evaluation, outreach, RezBaz, impact assessment, training at scale, succession planning, automated training organisation systems, trainer workforce, research software community, participation models, community building ideas, visible research software interest group, The Carpentries and social infrastructure. contact@ardc.edu.au training material, research, training, Kirkpatrick framework, RezBaz, impact, skills, impact assessment, training at scale, succession planning, automated training organisation systems, trainer workforce, research software community, participation models, community building, visible research software interest group, carpentries, social infrastructure
Skills training & materials - developing sharing guidelines and agreements

Anyone who has developed training content - specifically hands-on, short format, data science training - will know that it is expensive and time consuming. As a rule of thumb, one can expect to spend 15-20 hours of development time per hour of delivery time.

Even once the main work is done,...

Keywords: training material, training, sharing guidelines, sharing agreements

Skills training & materials - developing sharing guidelines and agreements https://dresa.org.au/materials/skills-training-materials-developing-sharing-guidelines-and-agreements-3bd2409c-44d0-45d9-b598-e3301242fb2d Anyone who has developed training content - specifically hands-on, short format, data science training - will know that it is expensive and time consuming. As a rule of thumb, one can expect to spend 15-20 hours of development time per hour of delivery time. Even once the main work is done, there are still ongoing maintenance demands, from correcting the inevitable typos and adapting to software version updates, to major rewrites as best practice techniques evolve. Few Australians training organisations have a funding mandate for developing training material for general use. Instead most of us build training for our own communities in response to demand from those communities, allocating our limited resources to the areas of perceived highest demand. Notwithstanding this local focus, most training organisations operate in similar research environments with similar community demands, so there are real opportunities for benefit from collaboration between those organisations. In this session we will discuss how such collaboration could occur and whether a standardised national agreement around sharing of training material is an achievable outcome. This session will not discuss co-delivery opportunities, institution-specific content such as HPC training and data management, or consolidation of existing similar workshops into a single course. These are important topics, but we don’t have time to do them justice today. contact@ardc.edu.au training material, training, sharing guidelines, sharing agreements
National skills ecosystem - call to action

In this Community Action session working groups will be formed based on the challenges/opportunities that were prioritised in Community Action session #4.

  • Skilled trainers / facilitators

  • National training registry

  • National training event calendar

  • Jointly developed training

  • Research...

Keywords: national skills initiatives, data skills, training, skills community, training material

National skills ecosystem - call to action https://dresa.org.au/materials/national-skills-ecosystem-call-to-action-ffd9b4ed-b557-496b-ac35-72467c03c71b In this Community Action session working groups will be formed based on the challenges/opportunities that were prioritised in Community Action session #4. - Skilled trainers / facilitators - National training registry - National training event calendar - Jointly developed training - Research support professionals: career/progression contact@ardc.edu.au national skills initiatives, data skills, training, skills community, training material
Introduction to REDCap at Griffith University

This site is designed as a companion to Griffith Library’s Research Data Capture workshops. It can also be treated as a standalone, self-paced tutorial for learning to use REDCap (Research Electronic Data Capture) a secure web application for building and managing online surveys and databases.

Keywords: REDCap, survey instruments

Resource type: tutorial

Introduction to REDCap at Griffith University https://dresa.org.au/materials/introduction-to-redcap-at-griffith-university This site is designed as a companion to Griffith Library’s Research Data Capture workshops. It can also be treated as a standalone, self-paced tutorial for learning to use REDCap (Research Electronic Data Capture) a secure web application for building and managing online surveys and databases. y.banens@griffith.edu.au REDCap, survey instruments mbr phd ecr researcher support
Introduction to text mining and analysis

In this self-paced workshop you will learn steps to: 
- Build data sets: find where and how to gather textual data for your corpus or data set.  
- Prepare data for analysis: explore useful processes and tools to prepare and clean textual data for analysis
- Analyse data: identify different...

Keywords: textual training materials

Resource type: tutorial

Introduction to text mining and analysis https://dresa.org.au/materials/introduction-to-text-mining-and-analysis In this self-paced workshop you will learn steps to:  - Build data sets: find where and how to gather textual data for your corpus or data set.   - Prepare data for analysis: explore useful processes and tools to prepare and clean textual data for analysis - Analyse data: identify different types of analysis used to interrogate content and uncover new insights s.stapleton@griffith.edu.au; y.banens@griffith.edu.au; textual training materials mbr phd ecr researcher support