HeSANDA & Health Data Australia FAQ
This document provides answers to common questions about the Health Studies Australian National Data Asset (HeSANDA), and the Health Data Australia (HDA), including the usage of the health data platform, sharing, contributing and accessing clinital trails data, governance, and potential risks.
Keywords: HeSANDA, Frequently asked Questions, Health Data Australia, training material
HeSANDA & Health Data Australia FAQ
https://zenodo.org/records/11075589
https://dresa.org.au/materials/hesanda-health-data-australia-faq
This document provides answers to common questions about the Health Studies Australian National Data Asset (HeSANDA), and the Health Data Australia (HDA), including the usage of the health data platform, sharing, contributing and accessing clinital trails data, governance, and potential risks.
contact@ardc.edu.au
Australian Research Data Commons
Australian Research Data Commons (type: Editor)
Australian Clinical Trials Alliance (type: Editor)
Melbourne Academic Centre for Health (type: Editor)
Mental Health Node (type: Editor)
The Queensland Node (type: Editor)
Sydney Health Partners Node (type: Editor)
Western Australia Node (type: Editor)
Monash University and Monash Partners Node (type: Editor)
Health Translation South Australia (type: Editor)
National Cancer Cooperative Trials Groups (type: Editor)
Northern Australia Node (type: Editor)
HeSANDA, Frequently asked Questions, Health Data Australia, training material
WEBINAR: KBase - A knowledge base for systems biology
This record includes training materials associated with the Australian BioCommons webinar ‘KBase - A knowledge base for systems biology’. This webinar took place on 22 September 2021.
Event description
Developed for bench biologists and bioinformaticians, The Department of Energy Systems...
Keywords: Systems Biology, FAIR Research, Open Source Software, Metagenomics, Microbiology
WEBINAR: KBase - A knowledge base for systems biology
https://zenodo.org/records/5717580
https://dresa.org.au/materials/webinar-kbase-a-knowledge-base-for-systems-biology-653d9753-989d-4194-9230-6e2d90652955
This record includes training materials associated with the Australian BioCommons webinar ‘KBase - A knowledge base for systems biology’. This webinar took place on 22 September 2021.
Event description
Developed for bench biologists and bioinformaticians, The Department of Energy Systems Biology Knowledgebase (KBase) is a free, open source, software and data science platform designed to meet the grand challenge of systems biology: predicting and designing biological function.
This webinar will provide an overview of the KBase mission and user community, as well as a tour of the online platform and basic functionality. You’ll learn how KBase can support your research: Upload data, run analysis tools (Apps), share your analysis with collaborators, and publish your data and reproducible workflows. We’ll highlight a brand new feature that enables users to link environment and measurement data to sequencing data. You’ll also find out how KBase supports findable, accessible, interoperable, and reusable (FAIR) research by providing open, reproducible, shareable bioinformatics workflows.
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.
Q&A for Australian BioCommons KBase Webinar [PDF]: Document containing answers to questions asked during the webinar and links to additional resources
Introduction to KBase: Australian BioCommons Webinar [PDF]: Slides presented during the webinar
Materials shared elsewhere:
A recording of the webinar is available on the Australian BioCommons YouTube Channel:
https://youtu.be/tJ94i9gOJfU
The slides are also available as Google slides:
https://tinyurl.com/KBase-webinar-slides
Melissa Burke (melissa@biocommons.org.au)
Dow, Ellen (orcid: 0000-0002-2079-0260)
Wood-Charlson, Elisha (orcid: 0000-0001-9557-7715)
Systems Biology, FAIR Research, Open Source Software, Metagenomics, Microbiology
WEBINAR: bio.tools - making it easier to find, understand and cite biological tools and software
This record includes training materials associated with the Australian BioCommons webinar ‘bio.tools - making it easier to find, understand and cite biological tools and software’. This webinar took place on 21 June 2022.
Event description
bio.tools provides easy access to essential scientific...
Keywords: Bioinformatics, Research software, EDAM, Workflows, FAIR
WEBINAR: bio.tools - making it easier to find, understand and cite biological tools and software
https://zenodo.org/records/7024050
https://dresa.org.au/materials/webinar-bio-tools-making-it-easier-to-find-understand-and-cite-biological-tools-and-software-aea38c9e-0b40-4308-bafd-f7580563f520
This record includes training materials associated with the Australian BioCommons webinar ‘bio.tools - making it easier to find, understand and cite biological tools and software’. This webinar took place on 21 June 2022.
Event description
bio.tools provides easy access to essential scientific and technical information about software, command-line tools, databases and services. It’s backed by ELIXIR, the European Infrastructure for Biological Information, and is being used in Australia to register software (e.g. Galaxy Australia, prokka). It underpins the information provided in the Australian BioCommons discovery service ToolFinder.
Hans Ienasescu and Matúš Kalaš join us to explain how bio.tools uses a community driven, open science model to create this collection of resources and how it makes it easier to find, understand, utilise and cite them. They’ll delve into how bio.tools is using standard semantics (e.g. the EDAM ontology) and syntax (e.g. biotoolsSchema) to enrich the annotation and description of tools and resources. Finally, we’ll see how the community can contribute to bio.tools and take advantage of its key features to share and promote their own research software.
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.
biotools_EDAM_slides (PDF): A PDF copy of the slides presented during the webinar.
Materials shared elsewhere:
A recording of this webinar is available on the Australian BioCommons YouTube Channel:
https://youtu.be/K0J4_bAUG3Y
Melissa Burke (melissa@biocommons.org.au)
Ienasescu, Hans
Kalaš, Matúš (orcid: 0000-0002-1509-4981)
Bioinformatics, Research software, EDAM, Workflows, FAIR
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://zenodo.org/records/6766951
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)
Freytag, Saskia (orcid: 0000-0002-2185-7068)
Barugahare, Adele (orcid: 0000-0002-8976-0094)
Doyle, Maria
Ansell, Brendan (orcid: 0000-0003-0297-897X)
Varshney, Akriti
Bourke, Caitlin (orcid: 0000-0002-4466-6563)
Conradsen, Cara (orcid: 0000-0001-9797-3412)
Jung, Chol-Hee (orcid: 0000-0002-2992-3162)
Sandoval, Claudia
Chandrananda, Dineika (orcid: 0000-0002-8834-9500)
Zhang, Eden (orcid: 0000-0003-0294-3734)
Rosello, Fernando (orcid: 0000-0003-3885-8777)
Iacono, Giulia (orcid: 0000-0002-1527-0754)
Tarasova, Ilariya (orcid: 0000-0002-0895-9385)
Chung, Jessica (orcid: 0000-0002-0627-0955)
Moffet, Joel
Gustafsson, Johan (orcid: 0000-0002-2977-5032)
Ding, Ke
Feher, Kristen
Perlaza-Jimenez, Laura (orcid: 0000-0002-8511-1134)
Crowe, Mark (orcid: 0000-0002-9514-2487)
Ma, Mengyao
Kandhari, Nitika (orcid: 0000-0002-0261-727X)
Williams, Sarah
Nelson, Tiffanie (orcid: 0000-0002-5341-312X)
Schreiber, Veronika (orcid: 0000-0001-6088-7828)
Pinzon Perez, William
Bioinformatics, Analysis, Statistics, R software, RStudio, Data visualisation
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://zenodo.org/records/5044585
https://dresa.org.au/materials/research-data-governance-6ad9ab90-1a29-41db-b4aa-f1988501530d
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].
contact@ardc.edu.au
Australian Research Data Commons
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
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
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: data, rights, management, licence, licensing, research, policy, guide, training material
ARDC Research Data Rights Management Guide
https://zenodo.org/records/5091580
https://dresa.org.au/materials/ardc-research-data-rights-management-guide-149e27b4-fd5e-4739-8e40-be2c5ca6709c
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.
contact@ardc.edu.au
Australian Research Data Commons
Laughlin, Greg (type: Editor)
Appleyard, Baden (type: Editor)
data, rights, management, licence, licensing, research, policy, guide, training material
ARDC Research Software Rights Management Guide
How researchers may license their research software in order to share it with others.
It addresses the types of open‑source licences, and considerations you (as a researcher) should have in deciding which licence to adopt for sharing.
Keywords: Software citation, Software licensing, Software, research software, licence, License, training material
ARDC Research Software Rights Management Guide
https://zenodo.org/records/5003962
https://dresa.org.au/materials/ardc-research-software-rights-management-guide-d147c836-6ba8-4c76-a258-88e4c293569c
How researchers may license their research software in order to share it with others.
It addresses the types of open‑source licences, and considerations you (as a researcher) should have in deciding which licence to adopt for sharing.
contact@ardc.edu.au
Australian Research Data Commons
Laughlin, Greg (type: Editor)
Appleyard, Baden (type: Editor)
Martinez, Paula Andrea (type: ProjectLeader)
Software citation, Software licensing, Software, research software, licence, License, 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
Health Studies Australian National Data Asset (HeSANDA) flyer
Health Studies Australian National Data Asset (HeSANDA) - Digital FlyerReusing data to accelerate research and better health outcomes
Keywords: clinical trial, dataset, training material
Health Studies Australian National Data Asset (HeSANDA) flyer
https://zenodo.org/records/10199242
https://dresa.org.au/materials/health-studies-australian-national-data-asset-hesanda-flyer
Health Studies Australian National Data Asset (HeSANDA) - Digital FlyerReusing data to accelerate research and better health outcomes
Amany.Gouda-Vossos@ardc.edu.au
Australian Research Data Commons
South Australian Health and Medical Research Institute
University of Melbourne
Deakin University
Australasian Leukaemia and Lymphoma Group
Menzies School of Health Research
Australian e-Health Research Centre
Queensland Cyber Infrastructure Foundation
University of Sydney
Curtin University
clinical trial, dataset, training material
WEBINAR: bio.tools - making it easier to find, understand and cite biological tools and software
This record includes training materials associated with the Australian BioCommons webinar ‘bio.tools - making it easier to find, understand and cite biological tools and software’. This webinar took place on 21 June 2022.
Event description
bio.tools provides easy access to essential...
Keywords: Bioinformatics, Research software, EDAM, Workflows, FAIR
WEBINAR: bio.tools - making it easier to find, understand and cite biological tools and software
https://zenodo.org/record/7024050
https://dresa.org.au/materials/webinar-bio-tools-making-it-easier-to-find-understand-and-cite-biological-tools-and-software-9180e32a-f4f5-4993-a90a-a9bfcfafd4f3
This record includes training materials associated with the Australian BioCommons webinar ‘bio.tools - making it easier to find, understand and cite biological tools and software’. This webinar took place on 21 June 2022.
**Event description**
bio.tools provides easy access to essential scientific and technical information about software, command-line tools, databases and services. It’s backed by ELIXIR, the European Infrastructure for Biological Information, and is being used in Australia to register software (e.g. Galaxy Australia, prokka). It underpins the information provided in the Australian BioCommons discovery service ToolFinder.
Hans Ienasescu and Matúš Kalaš join us to explain how bio.tools uses a community driven, open science model to create this collection of resources and how it makes it easier to find, understand, utilise and cite them. They’ll delve into how bio.tools is using standard semantics (e.g. the EDAM ontology) and syntax (e.g. biotoolsSchema) to enrich the annotation and description of tools and resources. Finally, we’ll see how the community can contribute to bio.tools and take advantage of its key features to share and promote their own research software.
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.
* biotools_EDAM_slides (PDF): A PDF copy of the slides presented during the webinar.
Materials shared elsewhere:
A recording of this webinar is available on the Australian BioCommons YouTube Channel:
https://youtu.be/K0J4_bAUG3Y
Melissa Burke (melissa@biocommons.org.au)
Ienasescu, Hans
Kalaš, Matúš (orcid: 0000-0002-1509-4981)
Bioinformatics, Research software, EDAM, Workflows, FAIR
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://zenodo.org/record/6766951
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)
Freytag, Saskia (orcid: 0000-0002-2185-7068)
Barugahare, Adele (orcid: 0000-0002-8976-0094)
Doyle, Maria
Ansell, Brendan (orcid: 0000-0003-0297-897X)
Varshney, Akriti
Bourke, Caitlin (orcid: 0000-0002-4466-6563)
Conradsen, Cara (orcid: 0000-0001-9797-3412)
Jung, Chol-Hee (orcid: 0000-0002-2992-3162)
Sandoval, Claudia
Chandrananda, Dineika (orcid: 0000-0002-8834-9500)
Zhang, Eden (orcid: 0000-0003-0294-3734)
Rosello, Fernando (orcid: 0000-0003-3885-8777)
Iacono, Giulia (orcid: 0000-0002-1527-0754)
Tarasova, Ilariya (orcid: 0000-0002-0895-9385)
Chung, Jessica (orcid: 0000-0002-0627-0955)
Moffet, Joel
Gustafsson, Johan (orcid: 0000-0002-2977-5032)
Ding, Ke
Feher, Kristen
Perlaza-Jimenez, Laura (orcid: 0000-0002-8511-1134)
Crowe, Mark (orcid: 0000-0002-9514-2487)
Ma, Mengyao
Kandhari, Nitika (orcid: 0000-0002-0261-727X)
Williams, Sarah
Nelson, Tiffanie (orcid: 0000-0002-5341-312X)
Schreiber, Veronika (orcid: 0000-0001-6088-7828)
Pinzon Perez, William
Bioinformatics, Analysis, Statistics, R software, RStudio, Data visualisation
WEBINAR: bio.tools - making it easier to find, understand and cite biological tools and software
This record includes training materials associated with the Australian BioCommons webinar ‘bio.tools - making it easier to find, understand and cite biological tools and software’. This webinar took place on 21 June 2022.
Event description
bio.tools provides easy access to essential...
Keywords: Bioinformatics, Research software, EDAM, Workflows, FAIR
WEBINAR: bio.tools - making it easier to find, understand and cite biological tools and software
https://zenodo.org/record/6758147
https://dresa.org.au/materials/webinar-bio-tools-making-it-easier-to-find-understand-and-cite-biological-tools-and-software
This record includes training materials associated with the Australian BioCommons webinar ‘bio.tools - making it easier to find, understand and cite biological tools and software’. This webinar took place on 21 June 2022.
**Event description**
bio.tools provides easy access to essential scientific and technical information about software, command-line tools, databases and services. It’s backed by ELIXIR, the European Infrastructure for Biological Information, and is being used in Australia to register software (e.g. Galaxy Australia, prokka). It underpins the information provided in the Australian BioCommons discovery service ToolFinder.
Hans Ienasescu and Matúš Kalaš join us to explain how bio.tools uses a community driven, open science model to create this collection of resources and how it makes it easier to find, understand, utilise and cite them. They’ll delve into how bio.tools is using standard semantics (e.g. the EDAM ontology) and syntax (e.g. biotoolsSchema) to enrich the annotation and description of tools and resources. Finally, we’ll see how the community can contribute to bio.tools and take advantage of its key features to share and promote their own research software.
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.
- biotools_EDAM_slides (PDF): A PDF copy of the slides presented during the webinar.
**Materials shared elsewhere:**
A recording of this webinar is available on the Australian BioCommons YouTube Channel:
https://youtu.be/K0J4_bAUG3Y
Melissa Burke (melissa@biocommons.org.au)
Ienasescu, Hans
Kalaš, Matúš (orcid: 0000-0002-1509-4981)
Bioinformatics, Research software, EDAM, Workflows, FAIR
WEBINAR: KBase - A knowledge base for systems biology
This record includes training materials associated with the Australian BioCommons webinar ‘KBase - A knowledge base for systems biology’. This webinar took place on 22 September 2021.
Event description
Developed for bench biologists and bioinformaticians, The Department of Energy...
Keywords: Systems Biology, FAIR Research, Open Source Software, Metagenomics, Microbiology
WEBINAR: KBase - A knowledge base for systems biology
https://zenodo.org/record/5717580
https://dresa.org.au/materials/webinar-kbase-a-knowledge-base-for-systems-biology
This record includes training materials associated with the Australian BioCommons webinar ‘KBase - A knowledge base for systems biology’. This webinar took place on 22 September 2021.
**Event description**
Developed for bench biologists and bioinformaticians, The Department of Energy Systems Biology Knowledgebase (KBase) is a free, open source, software and data science platform designed to meet the grand challenge of systems biology: predicting and designing biological function.
This webinar will provide an overview of the KBase mission and user community, as well as a tour of the online platform and basic functionality. You’ll learn how KBase can support your research: Upload data, run analysis tools (Apps), share your analysis with collaborators, and publish your data and reproducible workflows. We’ll highlight a brand new feature that enables users to link environment and measurement data to sequencing data. You’ll also find out how KBase supports findable, accessible, interoperable, and reusable (FAIR) research by providing open, reproducible, shareable bioinformatics workflows.
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.
- Q&A for Australian BioCommons KBase Webinar [PDF]: Document containing answers to questions asked during the webinar and links to additional resources
- Introduction to KBase: Australian BioCommons Webinar [PDF]: Slides presented during the webinar
**Materials shared elsewhere:**
A recording of the webinar is available on the Australian BioCommons YouTube Channel:
https://youtu.be/tJ94i9gOJfU
The slides are also available as Google slides:
https://tinyurl.com/KBase-webinar-slides
Melissa Burke (melissa@biocommons.org.au)
Dow, Ellen (orcid: 0000-0002-2079-0260)
Wood-Charlson, Elisha (orcid: 0000-0001-9557-7715)
Systems Biology, FAIR Research, Open Source Software, Metagenomics, Microbiology
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://zenodo.org/record/5044585
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].
contact@ardc.edu.au
Australian Research Data Commons
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
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/record/5778322
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
Australian Research Data Commons
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://zenodo.org/record/5784765
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
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
ARDC Research Software Rights Management Guide
How researchers may license their research software in order to share it with others.
It addresses the types of open‑source licences, and considerations you (as a researcher) should have in deciding which licence to adopt for sharing.
Keywords: Software citation, Software licensing, Software, research software, licence, License, training material
ARDC Research Software Rights Management Guide
https://zenodo.org/record/5003962
https://dresa.org.au/materials/ardc-research-software-rights-management-guide
How researchers may license their research software in order to share it with others.
It addresses the types of open‑source licences, and considerations you (as a researcher) should have in deciding which licence to adopt for sharing.
contact@ardc.edu.au
Australian Research Data Commons
Laughlin, Greg (type: Editor)
Appleyard, Baden (type: Editor)
Martinez, Paula Andrea (type: ProjectLeader)
Software citation, Software licensing, Software, research software, licence, License, training material
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: data, rights, management, licence, licensing, research, policy, guide, training material
ARDC Research Data Rights Management Guide
https://zenodo.org/record/5091580
https://dresa.org.au/materials/ardc-research-data-rights-management-guide-a5c12e9a-672b-4a42-b9d1-e1315d733aae
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.
contact@ardc.edu.au
Australian Research Data Commons
Laughlin, Greg (type: Editor)
Appleyard, Baden (type: Editor)
data, rights, management, licence, licensing, research, policy, guide, 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/record/5091260
https://dresa.org.au/materials/how-can-software-containers-help-your-research-5bc99ea4-58dd-413d-a04b-230ff14873f1
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
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://youtu.be/K_xVQRdgCIc
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
Australian Research Data Commons
Max Wilkinson
Shannon Callaghan
Jo Savill
Kristan Kang
Kerry Levett
Keith Russell
Natasha Simons
data governance, research data
ecr
researcher
support
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...
Keywords: Containers, software containers, reproducibility, replicable computational environment, software, research, reusable, cloud, standardisation
Resource type: video
How can Software Containers help your Research?
https://www.youtube.com/watch?v=HelrQnm3v4g
https://dresa.org.au/materials/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 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.
**Cite as**
Australian Research Data Commons. (2021, July 26). How can software containers help your research?. Zenodo. https://doi.org/10.5281/zenodo.5091260
Contact us: https://ardc.edu.au/contact-us/
Australian Research Data Commons
Containers, software containers, reproducibility, replicable computational environment, software, research, reusable, cloud, standardisation
phd
ecr
researcher
support
