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://zenodo.org/record/5094034#.YQyLbY4zaUk
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/
Liz Stokes
Matthias Liffers
Nichola Burton
Paula A. Martinez
Natasha Simons
Keith Russell
Siobhann McCafferty
Richard Ferrers
Steve McEachern
Melanie Barlow
Tom Honeyman
Maria del Mar Quiroga
training material, FAIR data, research data, data management, FAIR
phd
ecr
researcher
support
Software publishing, licensing, and citation
A short presentation for reuse includes speaker notes.
Making software citable using a code repository, an ORCID and a licence.
Cite as
Liffers, Matthias. (2021, July 12). Software publishing, licensing, and citation. Zenodo. https://doi.org/10.5281/zenodo.5091717
Keywords: software citation, software publishing, software registry, software repository, research software
Resource type: presentation
Software publishing, licensing, and citation
https://zenodo.org/record/5091717#.YQyPtY4zaUk
https://dresa.org.au/materials/software-publishing-licensing-and-citation
A short presentation for reuse includes speaker notes.
Making software citable using a code repository, an ORCID and a licence.
**Cite as**
Liffers, Matthias. (2021, July 12). Software publishing, licensing, and citation. Zenodo. https://doi.org/10.5281/zenodo.5091717
ARDC Contact us: https://ardc.edu.au/contact-us/
Matthias Liffers
software citation, software publishing, software registry, software repository, research software
phd
ecr
researcher
support
WEBINAR: Getting started with deep learning
This record includes training materials associated with the Australian BioCommons webinar ‘Getting started with deep learning’. This webinar took place on 21 July 2021.
Are you wondering what deep learning is and how it might be useful in your research? This high level overview introduces...
Keywords: Deep learning, Bioinformatics, Machine learning
Resource type: video, presentation
WEBINAR: Getting started with deep learning
https://zenodo.org/record/5121004#.YQN_QlMzY3Q
https://dresa.org.au/materials/webinar-getting-started-with-deep-learning
This record includes training materials associated with the Australian BioCommons webinar ‘Getting started with deep learning’. This webinar took place on 21 July 2021.
Are you wondering what deep learning is and how it might be useful in your research? This high level overview introduces deep learning ‘in a nutshell’ and provides tips on which concepts and skills you will need to know to build a deep learning application. The presentation also provides pointers to various resources you can use to get started in deep learning.
The webinar is followed by a short Q&A session.
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.
Getting Started with Deep Learning - Slides (PDF): Slides used in the presentation
Materials shared elsewhere:
A recording of the webinar is available on the Australian BioCommons YouTube Channel:
https://youtu.be/I1TmpnZUuiQ
Melissa Burke (melissa@biocommons.org.au)
Titus Tang
Deep learning, Bioinformatics, Machine learning
ARDC Guide to making Software Citable
A short guide to making software citable using a code repository, an ORCID and a licence.
Cite as
Liffers, Matthias, & Honeyman, Tom. (2021). ARDC Guide to making software citable. Zenodo. https://doi.org/10.5281/zenodo.5003989
Keywords: software citation, software publishing, software registry, software repository, research software
Resource type: guide
ARDC Guide to making Software Citable
https://zenodo.org/record/5003989#.YQyRI44zaUk
https://dresa.org.au/materials/ardc-guide-to-making-software-citable
A short guide to making software citable using a code repository, an ORCID and a licence.
**Cite as**
Liffers, Matthias, & Honeyman, Tom. (2021). ARDC Guide to making software citable. Zenodo. https://doi.org/10.5281/zenodo.5003989
ARDC Contact us: https://ardc.edu.au/contact-us/
Matthias Liffers
Tom Honeyman
software citation, software publishing, software registry, software repository, research software
phd
ecr
researcher
support
WEBINAR: Getting started with command line bioinformatics
This record includes training materials associated with the Australian BioCommons webinar ‘Getting started with command line bioinformatics’. This webinar took place on 22 June 2021.
Bioinformatics skills are in demand like never before and biologists are stepping up to the challenge of...
Keywords: Command line, Bioinformatics
Resource type: video, presentation
WEBINAR: Getting started with command line bioinformatics
https://zenodo.org/record/5068997#.YQN4mlMzY3Q
https://dresa.org.au/materials/webinar-getting-started-with-command-line-bioinformatics
This record includes training materials associated with the Australian BioCommons webinar ‘Getting started with command line bioinformatics’. This webinar took place on 22 June 2021.
Bioinformatics skills are in demand like never before and biologists are stepping up to the challenge of learning to analyse large and ever growing datasets. Learning how to use the command line can open up many options for data analysis but getting started can be a little daunting for those without a background in computer science.
Parice Brandies and Carolyn Hogg have recently put together ten simple rules for getting started with command-line bioinformatics to help biologists begin their computational journeys. In this webinar Parice walks you through their hints and tips for getting started with the command line. She covers topics like learning tech speak, evaluating your data and workflows, assessing computational requirements, computing options, the basics of software installation, curating and testing scripts, a bit of bash and keeping good records. The webinar will be followed by a short Q&A session.
The slides were created by Parice Brandies and are based on the publication ‘Ten simple rules for getting started with command-line bioinformatics’ (https://doi.org/10.1371/journal.pcbi.1008645). The slides are shared under a Creative Commons Attribution 4.0 International unless otherwise specified and were current at the time of the webinar.
**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.
Getting started with command line bioinformatics - slides (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/p7pA4OLB2X4
Melissa (melissa@biocommons.org.au)
Parice Brandies
Command line, Bioinformatics
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://zenodo.org/record/5091580#.YS26Co4zaUk
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
Greg Laughlin
Baden Appleyard
research data
mbr
phd
ecr
researcher
support
professional
Australian BioCommons YouTube Channel
The Australian BioCommons YouTube channel hosts a collection of recorded webinars on a variety of bioinformatics topics from genomics, to metabolomics, containers, machine learning and more.
Keywords: Bioinformatics
Resource type: video
Australian BioCommons YouTube Channel
https://www.youtube.com/c/AustralianBioCommons
https://dresa.org.au/materials/australian-biocommons-youtube-channel
The Australian BioCommons YouTube channel hosts a collection of recorded webinars on a variety of bioinformatics topics from genomics, to metabolomics, containers, machine learning and more.
Melissa (melissa@biocommons.org.au)
Bioinformatics