7 Steps towards Reproducible Research
This workshop aims to take you further down your reproducibility path, by providing concepts and tools you can use in your everyday workflows. It is discipline and experience agnostic, and no coding experience is needed.
We will also examine how Reproducible Research builds business continuity...
Keywords: reproducibility, Reproducibility, reproducible workflows
Resource type: full-course, tutorial
7 Steps towards Reproducible Research
https://amandamiotto.github.io/ReproducibleResearch/
https://dresa.org.au/materials/7-steps-towards-reproducible-research
This workshop aims to take you further down your reproducibility path, by providing concepts and tools you can use in your everyday workflows. It is discipline and experience agnostic, and no coding experience is needed.
We will also examine how Reproducible Research builds business continuity into your research group, how the culture in your institute ecosystem can affect Reproducibility and how you can identify and address risks to your knowledge.
The workshop can be used as self-paced or as an instructor
Amanda Miotto - a.miotto@griffith.edu.au
Amanda Miotto
reproducibility, Reproducibility, reproducible workflows
phd
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://zenodo.org/records/4291067
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
Kang, Kristan
Radhouane, Aniba
McLaren, Tara
Data management, ARC, NHMRC, research data, Research Data Guide, Funding, training material
How can software containers help your research?
This video explains software containers to a research audience. It is an introduction to why containers are beneficial for research. These benefits are standardisation, portability, reliability and reproducibility.
Software Containers in research are a solution that addresses the challenge of a...
Keywords: containers, software, research, reproducibility, RSE, standard, agility, portable, reusable, code, application, reproducible, standardisation, package, system, cloud, server, version, reliability, program, collaborator, ARDC_AU, training material
How can software containers help your research?
https://zenodo.org/records/5091260
https://dresa.org.au/materials/how-can-software-containers-help-your-research-ca0f9d41-d83b-463b-a548-402c6c642fbf
This video explains software containers to a research audience. It is an introduction to why containers are beneficial for research. These benefits are standardisation, portability, reliability and reproducibility.
Software Containers in research are a solution that addresses the challenge of a replicable computational environment and supports reproducibility of research results. Understanding the concept of software containers enables researchers to better communicate their research needs with their colleagues and other researchers using and developing containers.
Watch the video here: https://www.youtube.com/watch?v=HelrQnm3v4g
If you want to share this video please use this:
Australian Research Data Commons, 2021. How can software containers help your research?. [video] Available at: https://www.youtube.com/watch?v=HelrQnm3v4g DOI: http://doi.org/10.5281/zenodo.5091260 [Accessed dd Month YYYY].
contact@ardc.edu.au
Australian Research Data Commons
Martinez, Paula Andrea (type: ProjectLeader)
Sam Muirhead (type: Producer)
The ARDC Communications Team (type: Editor)
The ARDC Skills and Workforce Development Team (type: ProjectMember)
The ARDC eResearch Infrastructure & Services (type: ProjectMember)
The ARDC Nectar Cloud Services team (type: ProjectMember)
containers, software, research, reproducibility, RSE, standard, agility, portable, reusable, code, application, reproducible, standardisation, package, system, cloud, server, version, reliability, program, collaborator, ARDC_AU, 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://zenodo.org/records/5784765
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
Australian Research Data Commons
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://zenodo.org/records/5778322
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
Australian Research Data Commons
metadata, research data, data collections, data citation, data retention project, training material
CheckEM User Guide
CheckEM is an open-source web based application which provides quality control assessments on metadata and image annotations of fish stereo-imagery. It is available at marine-ecology.shinyapps.io/CheckEM. The application can assess a range of sampling methods and annotation data formats for...
Keywords: stereo-video, fish, annotation
CheckEM User Guide
https://globalarchivemanual.github.io/CheckEM/articles/manuals/CheckEM_user_guide.html
https://dresa.org.au/materials/checkem-user-guide
CheckEM is an open-source web based application which provides quality control assessments on metadata and image annotations of fish stereo-imagery. It is available at marine-ecology.shinyapps.io/CheckEM. The application can assess a range of sampling methods and annotation data formats for common inaccuracies made whilst annotating stereo imagery. CheckEM creates interactive plots and tables in a graphical interface, and provides summarised data and a report of potential errors to download.
brooke.gibbons@uwa.edu.au
Brooke Gibbons
stereo-video, fish, annotation
EventMeasure Annotation Guide
EventMeasure annotation guide for baited remote underwater stereo video systems (stereo-BRUVs) for count and length
Keywords: fish, stereo-video, annotation
EventMeasure Annotation Guide
https://globalarchivemanual.github.io/CheckEM/articles/manuals/EventMeasure_annotation_guide.html
https://dresa.org.au/materials/eventmeasure-annotation-guide
EventMeasure annotation guide for baited remote underwater stereo video systems (stereo-BRUVs) for count and length
tim.langlois@uwa.edu.au
Brooke Gibbons
Tim Langlois
Claude Spencer
fish, stereo-video, annotation
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://youtu.be/EHHr6foJUhA
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://youtu.be/VB-h498VS0s
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://youtu.be/VxA5INjvaPs
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
Stereo-video workflows for fish and benthic ecologists
Stereo imagery is widely used by research institutions and management bodies around the world as a cost-effective and non-destructive method to research and monitor fish and habitats (Whitmarsh, Fairweather and Huveneers, 2017). Stereo-video can provide accurate and precise size and range...
Keywords: stereo-video, fish, sharks, habitats
Resource type: tutorial
Stereo-video workflows for fish and benthic ecologists
https://globalarchivemanual.github.io/CheckEM/index.html
https://dresa.org.au/materials/stereo-video-workflows-for-fish-and-benthic-ecologists
Stereo imagery is widely used by research institutions and management bodies around the world as a cost-effective and non-destructive method to research and monitor fish and habitats (Whitmarsh, Fairweather and Huveneers, 2017). Stereo-video can provide accurate and precise size and range measurements and can be used to study spatial and temporal patterns in fish assemblages (McLean et al., 2016), habitat composition and complexity (Collins et al., 2017), behaviour (Goetze et al., 2017), responses to anthropogenic pressures (Bosch et al., 2022) and the recovery and growth of benthic fauna (Langlois et al. 2020). It is important that users of stereo-video collect, annotate, quality control and store their data in a consistent manner, to ensure data produced is of the highest quality possible and to enable large scale collaborations. Here we collate existing best practices and propose new tools to equip ecologists to ensure that all aspects of the stereo-video workflow are performed in a consistent way.
tim.langlois@uwa.edu.au
Tim Langlois
Brooke Gibbons
Claude Spencer
stereo-video, fish, sharks, habitats
"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://australianchildatlas.com/acywa-resources
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://australianchildatlas.com/s/Atlas-platform-user-guide.pdf
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://www.transfusiondataset.com/training-and-user-guides
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
National Transfusion Dataset (NTD) Data Access Request process
https://www.transfusiondataset.com/data-access
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
10 Reproducible Research things - Building Business Continuity
The idea that you can duplicate an experiment and get the same conclusion is the basis for all scientific discoveries. Reproducible research is data analysis that starts with the raw data and offers a transparent workflow to arrive at the same results and conclusions. However not all studies are...
Keywords: reproducibility, data management
Resource type: tutorial, video
10 Reproducible Research things - Building Business Continuity
https://guereslib.github.io/ten-reproducible-research-things/
https://dresa.org.au/materials/9-reproducible-research-things-building-business-continuity
The idea that you can duplicate an experiment and get the same conclusion is the basis for all scientific discoveries. Reproducible research is data analysis that starts with the raw data and offers a transparent workflow to arrive at the same results and conclusions. However not all studies are replicable due to lack of information on the process. Therefore, reproducibility in research is extremely important.
Researchers genuinely want to make their research more reproducible, but sometimes don’t know where to start and often don’t have the available time to investigate or establish methods on how reproducible research can speed up every day work. We aim for the philosophy “Be better than you were yesterday”. Reproducibility is a process, and we highlight there is no expectation to go from beginner to expert in a single workshop. Instead, we offer some steps you can take towards the reproducibility path following our Steps to Reproducible Research self paced program.
Video:
https://www.youtube.com/watch?v=bANTr9RvnGg
Tutorial:
https://guereslib.github.io/ten-reproducible-research-things/
a.miotto@griffith.edu.au; s.stapleton@griffith.edu.au; i.jennings@griffith.edu.au;
Amanda Miotto
Julie Toohey
Sharron Stapleton
Isaac Jennings
reproducibility, data management
masters
phd
ecr
researcher
support
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://rise.articulate.com/share/-AWqSPaEI_jTbHwzQHdmQ43R50edrCl0
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.
Macquarie University
Queensland University of Technology
Shannon Smith
Jennifer Rowland
Mark Hooper
Paul Sou
Vladimir Bubalo
Brian Ballsun-Stanton
research data, data management, FAIR data, training