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20 materials found

Keywords: Data visualisation  or research data 


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
Sharing Approaches to Implementing the Data Guide at Medical Research Institutes (MRIs) Workshop

Co-authored by the Australian Research Council (ARC), the National Health and Medical Research Council (NHMRC) and Universities Australia (UA), the Management of Data and Information in Research Guide contains guidance for institutions and researchers on how they can implement the new Code as it...

Keywords: Data management, ARC, NHMRC, research data, Research Data Guide, Funding, training material

Sharing Approaches to Implementing the Data Guide at Medical Research Institutes (MRIs) Workshop https://dresa.org.au/materials/sharing-approaches-to-implementing-the-data-guide-at-medical-research-institutes-mris-workshop-66fd5cb3-e161-44e2-aa96-514f195ab54d Co-authored by the Australian Research Council (ARC), the National Health and Medical Research Council (NHMRC) and Universities Australia (UA), the Management of Data and Information in Research Guide contains guidance for institutions and researchers on how they can implement the new Code as it relates to the subject of research data. This workshop included presentations and breakout discussions considering MRI approaches to data management practices in light of the Code and Guide.  This workshop was delivered as part of the Management of Data and Information in Research Guide Event.  The aims of the Event were to enable research offices within universities and Medical Research Institutes (MRIs) to have a clear and consistent understanding of the data management requirements and responsibilities as outlined in the Code and the Data Guide. contact@ardc.edu.au Data management, ARC, NHMRC, research data, Research Data Guide, Funding, training material
Institutional Research Data Management Policies and Procedures

This is a guide for those developing or updating policies and procedures related to the management of research data as an institutional asset.
The guide covers:
- Why have a research data management policy or policies?
- Possible approaches to constructing a research data policy suite
- Examples...

Keywords: research data, research data management, institutional data policies, institutional data procedures, institutional research data management, RDM, Australia, Australian research institutions, ARDC, Australian Research Data Commons, training material

Institutional Research Data Management Policies and Procedures https://dresa.org.au/materials/institutional-research-data-management-policies-and-procedures-f16dd572-56e4-4979-82e5-ce64afb9d4f4 This is a guide for those developing or updating policies and procedures related to the management of research data as an institutional asset. The guide covers: - Why have a research data management policy or policies? - Possible approaches to constructing a research data policy suite - Examples of data management policies - Key topics to include in a research data policy suite - Checklist for a Research Data Management Policy for Australian Universities / Institutions contact@ardc.edu.au research data, research data management, institutional data policies, institutional data procedures, institutional research data management, RDM, Australia, Australian research institutions, ARDC, Australian Research Data Commons, 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
HeSANDA Queensland Node

Hear Kathy Dallest, from Queensland's Cyber Infrastructure Foundation, speak on the Queensland node - a catalogue for sharing clinical trial data - and how it feeds into the national Health Data Australia platform.

Keywords: health data, research data, clinical trial data

HeSANDA Queensland Node https://dresa.org.au/materials/hesanda-queensland-node Hear Kathy Dallest, from Queensland's Cyber Infrastructure Foundation, speak on the Queensland node - a catalogue for sharing clinical trial data - and how it feeds into the national Health Data Australia platform. research@healthtranslationqld.org.au health data, research data, clinical trial data
HeSANDA Queensland Node - Health Data Australia

Hear Dr Kristan Kang, from the ARDC, speak about the Health Data Australia catalogue.

Keywords: health data, health data, research data

HeSANDA Queensland Node - Health Data Australia https://dresa.org.au/materials/hesanda-queensland-node-health-data-australia Hear Dr Kristan Kang, from the ARDC, speak about the Health Data Australia catalogue. research@healthtranslationqld.org.au health data, health data, research data
HeSANDA Queensland Node - The importance of data sharing

Hear from Professor John Prins, Health Translation Queensland's Executive Director, talk on the importance of data sharing.

Keywords: Data sharing, research data

HeSANDA Queensland Node - The importance of data sharing https://dresa.org.au/materials/hesanda-queensland-node-the-importance-of-data-sharing Hear from Professor John Prins, Health Translation Queensland's Executive Director, talk on the importance of data sharing. research@healthtranslationqld.org.au Data sharing, research data
"How To" Video Guide for the Australian Child and Youth Wellbeing Atlas

This "How To" Video Guide for the Australian Child and Youth Wellbeing Atlas covers key features, step-by-step instructions, and screen shots. It assists users in navigating the data platform with 400+ data sets on children and young people's health and wellbeing. The platform offers geospatial...

Keywords: research data, digital research skills, health data, digital research training, Community Connect, ARDC

"How To" Video Guide for the Australian Child and Youth Wellbeing Atlas https://dresa.org.au/materials/how-to-video-guide-for-the-australian-child-and-youth-wellbeing-atlas This "How To" Video Guide for the Australian Child and Youth Wellbeing Atlas covers key features, step-by-step instructions, and screen shots. It assists users in navigating the data platform with 400+ data sets on children and young people's health and wellbeing. The platform offers geospatial visualisations and maps at various geographic levels. A/Prof Rebecca Glauert, UWA, Marketa Reeves, UWA research data, digital research skills, health data, digital research training, Community Connect, ARDC
User Manual for the Australian Child and Youth Wellbeing Atlas

This user manual for the Australian Child and Youth Wellbeing Atlas covers key features of the platform, step-by-step instructions, and screen shots. It assists users in navigating the data platform with 400+ data sets on children and young people's health and wellbeing. The platform offers...

Keywords: research data, health data, digital research skills, digital research training, Community Connect, ARDC

User Manual for the Australian Child and Youth Wellbeing Atlas https://dresa.org.au/materials/user-manual-for-the-australian-child-and-youth-wellbeing-atlas This user manual for the Australian Child and Youth Wellbeing Atlas covers key features of the platform, step-by-step instructions, and screen shots. It assists users in navigating the data platform with 400+ data sets on children and young people's health and wellbeing. The platform offers geospatial visualisations and maps at various geographic levels. A/Prof Rebecca Glauert, UWA, Marketa Reeves, UWA research data, health data, digital research skills, digital research training, Community Connect, ARDC
National Transfusion Dataset Secure eResearch Platform (SeRP)/SafeHaven Training

A short training video for NTD users on how to access and use the SeRP once data access is granted.

Keywords: research data, Data analysis, research data management

National Transfusion Dataset Secure eResearch Platform (SeRP)/SafeHaven Training https://dresa.org.au/materials/national-transfusion-dataset-secure-eresearch-platform-serp-safehaven-training A short training video for NTD users on how to access and use the SeRP once data access is granted. sphpm.ntd@monash.edu research data, Data analysis, research data management
National Transfusion Dataset (NTD) Data Access Request process

A guide and resources on requesting data access from the NTD

Keywords: research data

National Transfusion Dataset (NTD) Data Access Request process https://dresa.org.au/materials/national-transfusion-dataset-ntd-data-access-request-process A guide and resources on requesting data access from the NTD sphpm.ntd@monash.edu research data
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 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
Heurist Tutorials

A set of video tutorials with accompanying walkthroughs for building your first Heurist database and website. The first three tutorials show you how to get started in Heurist. The five subsequent tutorials introduce you to the five main menus in the Heurist interface.

Keywords: Heurist, Data management, Data visualisation, Digital Humanities, Databasing, website

Resource type: tutorial

Heurist Tutorials https://dresa.org.au/materials/heurist-tutorials A set of video tutorials with accompanying walkthroughs for building your first Heurist database and website. The first three tutorials show you how to get started in Heurist. The five subsequent tutorials introduce you to the five main menus in the Heurist interface. michael.falk@sydney.edu.au Johnson, Ian Osmakov, Artem Heurist, Data management, Data visualisation, Digital Humanities, Databasing, website mbr phd ecr researcher support
Sharing Approaches to Implementing the Data Guide at Medical Research Institutes (MRIs) Workshop

Co-authored by the Australian Research Council (ARC), the National Health and Medical Research Council (NHMRC) and Universities Australia (UA), the Management of Data and Information in Research Guide contains guidance for institutions and researchers on how they can implement the new Code as it...

Keywords: Data management, ARC, NHMRC, research data, Research Data Guide, Funding, training material

Sharing Approaches to Implementing the Data Guide at Medical Research Institutes (MRIs) Workshop https://dresa.org.au/materials/sharing-approaches-to-implementing-the-data-guide-at-medical-research-institutes-mris-workshop Co-authored by the Australian Research Council (ARC), the National Health and Medical Research Council (NHMRC) and Universities Australia (UA), the Management of Data and Information in Research Guide contains guidance for institutions and researchers on how they can implement the new Code as it relates to the subject of research data. This workshop included presentations and breakout discussions considering MRI approaches to data management practices in light of the Code and Guide.  This workshop was delivered as part of the Management of Data and Information in Research Guide Event.  The aims of the Event were to enable research offices within universities and Medical Research Institutes (MRIs) to have a clear and consistent understanding of the data management requirements and responsibilities as outlined in the Code and the Data Guide. contact@ardc.edu.au Data management, ARC, NHMRC, research data, Research Data Guide, Funding, 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
Institutional Research Data Management Policies and Procedures

This is a guide for those developing or updating policies and procedures related to the management of research data as an institutional asset.
The guide covers:
- Why have a research data management policy or policies?
- Possible approaches to constructing a research data policy suite
- Examples...

Keywords: research data, research data management, institutional data policies, institutional data procedures, institutional research data management, RDM, Australia, Australian research institutions, ARDC, Australian Research Data Commons, training material

Institutional Research Data Management Policies and Procedures https://dresa.org.au/materials/institutional-research-data-management-policies-and-procedures This is a guide for those developing or updating policies and procedures related to the management of research data as an institutional asset. The guide covers: - Why have a research data management policy or policies? - Possible approaches to constructing a research data policy suite - Examples of data management policies - Key topics to include in a research data policy suite - Checklist for a Research Data Management Policy for Australian Universities / Institutions contact@ardc.edu.au research data, research data management, institutional data policies, institutional data procedures, institutional research data management, RDM, Australia, Australian research institutions, ARDC, Australian Research Data Commons, training material
Research Data Management (RDM) Online Orientation Module (Macquarie University)

This is a self-paced, guided orientation to the essential elements of Research Data Management. It is available for others to use and modify.
The course introduces the following topics: data policies, data sensitivity, data management planning, storage and security, organisation and metadata,...

Keywords: research data, data management, FAIR data, training

Resource type: quiz, activity, other

Research Data Management (RDM) Online Orientation Module (Macquarie University) https://dresa.org.au/materials/macquarie-university-research-data-management-rdm-online This is a self-paced, guided orientation to the essential elements of Research Data Management. It is available for others to use and modify. The course introduces the following topics: data policies, data sensitivity, data management planning, storage and security, organisation and metadata, benefits of data sharing, licensing, repositories, and best practice including the FAIR principles. Embedded activities and examples help extend learner experience and awareness. The course was designed to assist research students and early career researchers in complying with policies and legislative requirements, understand safe data practices, raise awareness of the benefits of data curation and data sharing (efficiency and impact) and equip them with the required knowledge to plan their data management early in their projects. This course is divided into four sections 1. Crawl - What is Research Data and why care for it? Policy and legislative requirements. The Research Data Life-cycle. Data Management Planning (~30 mins) 2. Walk - Data sensitivity, identifiability, storage, and security (~60 mins) 3. Run - Record keeping, data retention, file naming, folder structures, version control, metadata, data sharing, open data, licences, data repositories, data citation, and ethics (~75 mins) 4. Jump - Best practice FAIR data principles (~45 mins) 5. Fight - Review - a quiz designed to review and reinforce knowledge (~15 mins) https://rise.articulate.com/share/-AWqSPaEI_jTbHwzQHdmQ43R50edrCl0 * *Password: "FAIR" *Password: "FAIR" Any queries or suggestions for course improvement can be directed to the Macquarie University Research Integrity Team: Dr Paul Sou (paul.sou@mq.edu.au) or Dr Shannon Smith (shannon.smith@mq.edu.au). Scorm files can be made available upon request. research data, data management, FAIR data, training
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.

**Cite...

Keywords: data governance, research data

Resource type: video

Research Data Governance https://dresa.org.au/materials/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. **Cite as** Australian Research Data Commons. (2021, June 30). Research Data Governance. Zenodo. https://doi.org/10.5281/zenodo.5044585 ARDC contact: https://ardc.edu.au/contact-us Max Wilkinson Shannon Callaghan Jo Savill Kristan Kang Kerry Levett Keith Russell Natasha Simons data governance, research data ecr researcher support
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.

Keywords: training material, FAIR data, research data, data management, FAIR

Resource type: presentation, quiz, activity

ARDC FAIR Data 101 self-guided https://dresa.org.au/materials/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. ARDC Contact us: https://ardc.edu.au/contact-us/ training material, FAIR data, research data, data management, FAIR phd ecr researcher support
ARDC Research Data Rights Management Guide

A practical guide for people and organisations working with data, about rights information and licences, and to raise awareness of the implications of not having licences on data.

Who is this for? This guide is primarily directed toward members of the research sector, particularly data rights...

Keywords: research data

Resource type: guide

ARDC Research Data Rights Management Guide https://dresa.org.au/materials/ardc-research-data-rights-management-guide A practical guide for people and organisations working with data, about rights information and licences, and to raise awareness of the implications of not having licences on data. Who is this for? This guide is primarily directed toward members of the research sector, particularly data rights holders users and suppliers. Some general reference is made to characteristics and management of government data, acknowledging that this kind of data can be input to the research process. Government readers should consult their agency’s data management policies, in addition to reading this guide. **Cite as** Australian Research Data Commons. (2019). ARDC Research Data Rights Management Guide. Zenodo. https://doi.org/10.5281/zenodo.5091580 ARDC Contact us: contact@ardc.edu.au research data mbr phd ecr researcher support professional