Sharing a Trove List as a CollectionBuilder exhibition
You’ve been collecting and annotating items relating to your research project in a Trove List. You’d like to display the contents of your list as an online exhibition for others to explore. CollectionBuilder creates online exhibitions using static web...
Keywords: Trove, Trove List, CollectionBuilder, collection, GLAM Workbench, exhibition, HASS
Resource type: tutorial
Sharing a Trove List as a CollectionBuilder exhibition
https://tdg.glam-workbench.net/pathways/collections/collectionbuilder.html
https://dresa.org.au/materials/sharing-a-trove-list-as-a-collectionbuilder-exhibition
You’ve been collecting and annotating items relating to your research project in a Trove List. You’d like to display the contents of your list as an online exhibition for others to explore. [CollectionBuilder](https://collectionbuilder.github.io/) creates online exhibitions using static web technologies. But how do you get your List data from Trove into CollectionBuilder?
This tutorial from the Trove Data Guide walks through the complete process step-by-step.
Tim Sherratt (tim@timsherratt.au)
Tim Sherratt
ARDC Community Data Lab
Trove, Trove List, CollectionBuilder, collection, GLAM Workbench, exhibition, HASS
Create a layer in the Gazetteer of Historical Australian Placenames using metadata from Trove’s digitised maps
Trove includes thousands of digitised maps, created and published across the last few centuries. You want to create a collection of maps relating to your area of interest and explore it using the Gazetteer of Historical Australian Placenames (GHAP). You know it’s possible to add layers to GHAP,...
Keywords: Trove, maps, Gazetteer of Historical Australian Placenames (GHAP), GLAM Workbench, geospatial, HASS
Resource type: tutorial
Create a layer in the Gazetteer of Historical Australian Placenames using metadata from Trove’s digitised maps
https://tdg.glam-workbench.net/pathways/geospatial/maps-to-ghap.html
https://dresa.org.au/materials/create-a-layer-in-the-gazetteer-of-historical-australian-placenames-using-metadata-from-trove-s-digitised-maps
Trove includes thousands of digitised maps, created and published across the last few centuries. You want to create a collection of maps relating to your area of interest and explore it using the Gazetteer of Historical Australian Placenames (GHAP). You know it’s possible to add layers to GHAP, but how do you get the data from Trove in a format that can be uploaded as a layer?
This tutorial from the Trove Data Guide walks through the complete process step-by-step.
Tim Sherratt (tim@timsherratt.au)
Tim Sherratt
ARDC Community Data Lab
Trove, maps, Gazetteer of Historical Australian Placenames (GHAP), GLAM Workbench, geospatial, HASS
Comparing manuscript collections from Trove in Mirador
You want to compare the contents of two digitised manuscript collections and examine individual documents side-by-side. The Mirador viewer can be configured as a flexible, research workspace that displays multiple images from different sources, but how do you get...
Keywords: Trove, images, manuscripts, GLAM Workbench, IIIF, HASS, Mirador
Resource type: tutorial
Comparing manuscript collections from Trove in Mirador
https://tdg.glam-workbench.net/pathways/images/mirador.html
https://dresa.org.au/materials/comparing-manuscript-collections-in-mirador
You want to compare the contents of two digitised manuscript collections and examine individual documents side-by-side. The [Mirador viewer](https://projectmirador.org/) can be configured as a flexible, research workspace that displays multiple images from different sources, but how do you get manuscript collections from Trove to Mirador?
This tutorial from the Trove Data Guide walks through the complete process step-by-step.
Tim Sherratt (tim@timsherratt.au)
Tim Sherratt
ARDC Community Data Lab
Trove, images, manuscripts, GLAM Workbench, IIIF, HASS, Mirador
Working with a Trove collection in Tropy
You want to be able to work on a collection of digitised images from Trove on your desktop – adding notes, transcriptions, and annotations. Tropy is a useful tool for managing collections of research images, but how do you import a collection of images from Trove into...
Keywords: Trove, images, Tropy, IIIF, GLAM Workbench, HASS
Resource type: tutorial
Working with a Trove collection in Tropy
https://tdg.glam-workbench.net/pathways/images/tropy.html
https://dresa.org.au/materials/working-with-a-trove-collection-in-tropy
You want to be able to work on a collection of digitised images from Trove on your desktop – adding notes, transcriptions, and annotations. [Tropy](https://tropy.org/) is a useful tool for managing collections of research images, but how do you import a collection of images from Trove into Tropy?
This tutorial from the [Trove Data Guide](https://tdg.glam-workbench.net/home.html) walks through the complete process step-by-step.
Tim Sherratt (tim@timsherratt.au)
Tim Sherratt
ARDC Community Data Lab
Trove, images, Tropy, IIIF, GLAM Workbench, HASS
Analysing keywords in Trove’s digitised newspapers
You want to explore differences in language use across a collection of digitised newspaper articles. The Australian Text Analytics Platform provides a Keywords Analysis tool that helps you...
Keywords: text analysis, Australian Text Analytics Platform (ATAP), Trove, GLAM Workbench, Trove Newspaper and Gazette Harvester, newspapers, HASS
Resource type: tutorial
Analysing keywords in Trove’s digitised newspapers
https://tdg.glam-workbench.net/pathways/text/newspapers-keywords.html
https://dresa.org.au/materials/analysing-keywords-in-trove-s-digitised-newspapers
You want to explore differences in language use across a collection of digitised newspaper articles. The [Australian Text Analytics Platform](https://www.atap.edu.au/) provides a [Keywords Analysis tool](https://github.com/Australian-Text-Analytics-Platform/keywords-analysis) that helps you examine whether particular words are over or under-represented across collections of text. But how do get data from Trove’s newspapers to the keyword analysis tool?
This tutorial from the [Trove Data Guide](https://tdg.glam-workbench.net/home.html) walks through the complete process step-by-step.
Tim Sherratt (tim@timsherratt.au)
Tim Sherratt
ARDC Community Data Lab
text analysis, Australian Text Analytics Platform (ATAP), Trove, GLAM Workbench, Trove Newspaper and Gazette Harvester, newspapers, HASS
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
23 (research data) Things
23 (research data) things is a set of training materials exploring research data management. Each of the 23 things offers a variety of learning opportunities with activities at three levels of complexity:
- Getting started
- Learn more
- Challenge me
All resources used in the program are online...
Keywords: research data management, training material
23 (research data) Things
https://zenodo.org/records/3955524
https://dresa.org.au/materials/23-research-data-things-793872d2-c221-4cd6-91be-11a313c74b78
23 (research data) things is a set of training materials exploring research data management. Each of the 23 things offers a variety of learning opportunities with activities at three levels of complexity:
* Getting started
* Learn more
* Challenge me
All resources used in the program are online and free to use and reuse under a Creative Commons Attribution 4.0 International licence. You could use all of them as a self-paced course, or choose components to integrate into your own course.
The 23 things are designed to build knowledge as the program progresses, so if you’re new to the world of research data management, we suggest you start with things 1-3 and then decide where you want to go from there.
These materials supported an international community-based training program delivered in 2016 by the Australian National Data Service.
This release migrates these materials to a GitHub repository for continued maintenance. Some updates were made to material that was outdated.
We welcome contributions and suggestions via GitHub Issue or Pull Request.
contact@ardc.edu.au
Liffers, Matthias (orcid: 0000-0002-3639-2080)
Stokes, Liz (orcid: 0000-0002-2973-5647)
Burton, Nichola (orcid: 0000-0003-4470-4846)
Kelly, Andrew (orcid: 0000-0002-5377-5526)
Honeyman, Tom (orcid: 0000-0001-9448-4023)
Brownlee, Rowan (orcid: 0000-0002-1955-1262)
Levett, Kerry (orcid: 0000-0001-5963-0195)
Brady, Catherine (orcid: 0000-0002-7919-7592)
research data management, training material
Software publishing, licensing and citation
This presentation was part of an “Orientation to ARDC services and expertise” series, specifically aimed at people involved in one of the ARDC co-investment projects commencing early 2021. In addition to co-investment of money, ARDC contributes expertise and services in a range of areas: research...
Keywords: software, code, Repositories, code sharing, training material
Software publishing, licensing and citation
https://zenodo.org/records/4816879
https://dresa.org.au/materials/software-publishing-licensing-and-citation-49097378-f296-44aa-b724-a57d22214d99
This presentation was part of an “Orientation to ARDC services and expertise” series, specifically aimed at people involved in one of the ARDC co-investment projects commencing early 2021. In addition to co-investment of money, ARDC contributes expertise and services in a range of areas: research vocabularies, persistent identifiers, data discovery catalogues, metadata issues, licensing, governance, underpinning infrastructure (e.g. Nectar Research Cloud) and more. ARDC can also connect projects to national and international communities and initiatives trying to solve common challenges and outline best practice.
This session explained why and how to publish, licence and cite software.
A video recording of this session can also be found on ARDC's YouTube channel: https://youtu.be/l2acLeuF_QE
contact@ardc.edu.au
Liffers, Matthias (orcid: 0000-0002-3639-2080)
software, code, Repositories, code sharing, training material
National skills ecosystem - call to action
In this Community Action session working groups will be formed based on the challenges/opportunities that were prioritised in Community Action session #4.
Skilled trainers / facilitators
National training registry
National training event calendar
Jointly developed training
Research...
Keywords: national skills initiatives, data skills, training, skills community, training material
National skills ecosystem - call to action
https://zenodo.org/records/4289335
https://dresa.org.au/materials/national-skills-ecosystem-call-to-action-ffd9b4ed-b557-496b-ac35-72467c03c71b
In this Community Action session working groups will be formed based on the challenges/opportunities that were prioritised in Community Action session #4.
- Skilled trainers / facilitators
- National training registry
- National training event calendar
- Jointly developed training
- Research support professionals: career/progression
contact@ardc.edu.au
Padmanabhan, Komathy
Backhaus, Ann
Papaioannou, Anastasios (orcid: 0000-0002-8959-4559)
Tang, Titus
Crowe, Mark (orcid: 0000-0002-9514-2487)
Vanichkina, Darya (orcid: 0000-0002-0406-164X)
Unsworth, Kathryn (orcid: 0000-0002-5407-9987)
Stokes, Liz (orcid: 0000-0002-2973-5647)
Liffers, Matthias (orcid: 0000-0002-3639-2080)
national skills initiatives, data skills, training, skills community, training material
ARDC Guide to making software citable
A short guide to making software citable using a code repository, an ORCID and a licence.
Keywords: Software citation, Software publishing, Software registries, Software repositories, Research software, training material
ARDC Guide to making software citable
https://zenodo.org/records/5003989
https://dresa.org.au/materials/ardc-guide-to-making-software-citable-46d0f9e4-ef55-43b9-b237-3e52a9d1e141
A short guide to making software citable using a code repository, an ORCID and a licence.
contact@ardc.edu.au
Liffers, Matthias (orcid: 0000-0002-3639-2080)
Honeyman, Tom (orcid: 0000-0001-9448-4023)
Martinez, Paula Andrea (type: ProjectLeader)
Software citation, Software publishing, Software registries, Software repositories, Research software, training material
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.
The course structure was based on 'FAIR Data in the...
Keywords: training material, FAIR data, video, webinar, activities, quiz, FAIR, research data management
ARDC FAIR Data 101 self-guided
https://zenodo.org/records/5094034
https://dresa.org.au/materials/ardc-fair-data-101-self-guided-2d794a84-f0ff-4e11-a39c-fa8ea481e097
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.
The course structure was based on 'FAIR Data in the Scholarly Communications Lifecycle', run by Natasha Simons at the FORCE11 Scholarly Communications Institute. These training materials are hosted on GitHub.
contact@ardc.edu.au
Stokes, Liz (orcid: 0000-0002-2973-5647)
Liffers, Matthias (orcid: 0000-0002-3639-2080)
Burton, Nichola (orcid: 0000-0003-4470-4846)
Martinez, Paula A. (orcid: 0000-0002-8990-1985)
Simons, Natasha (orcid: 0000-0003-0635-1998)
Russell, Keith (orcid: 0000-0001-5390-2719)
McCafferty, Siobhann (orcid: 0000-0002-2491-0995)
Ferrers, Richard (orcid: 0000-0002-2923-9889)
McEachern, Steve (orcid: 0000-0001-7848-4912)
Barlow, Melanie (orcid: 0000-0002-3956-5784)
Brady, Catherine (orcid: 0000-0002-7919-7592)
Brownlee, Rowan (orcid: 0000-0002-1955-1262)
Honeyman, Tom (orcid: 0000-0001-9448-4023)
Quiroga, Maria del Mar (orcid: 0000-0002-8943-2808)
training material, FAIR data, video, webinar, activities, quiz, FAIR, research data management
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.
Keywords: Software citation, Software publishing, Software registries, Software Repositories, research Software, training material
Software publishing, licensing, and citation
https://zenodo.org/records/5091717
https://dresa.org.au/materials/software-publishing-licensing-and-citation-d222144f-380a-455d-b4aa-c56283afc23e
A short presentation for reuse includes speaker notes.
Making software citable using a code repository, an ORCID and a licence.
contact@ardc.edu.au
Liffers, Matthias (orcid: 0000-0002-3639-2080)
Martinez, Paula Andrea (type: ProjectLeader)
Software citation, Software publishing, Software registries, Software Repositories, research Software, training material
ARDC Datacite API Jupyter notebook
This Jupyter notebook presents a low-barrier entry to using the DataCite REST API to mint, update, publish, and deleted DOIs and their associated metadata.
It was designed specifically to not use any third-party libraries so that it can be reused in almost any Jupyter notebook environment
Code...
Keywords: jupyter, notebook, DataCite, api, python, metadata, DOI, training material
ARDC Datacite API Jupyter notebook
https://zenodo.org/record/5574653
https://dresa.org.au/materials/ardc-datacite-api-jupyter-notebook
This Jupyter notebook presents a low-barrier entry to using the DataCite REST API to mint, update, publish, and deleted DOIs and their associated metadata.
It was designed specifically to not use any third-party libraries so that it can be reused in almost any Jupyter notebook environment
Code is presented alongside human readable comments that explain the use of each component of the notebook.
contact@ardc.edu.au
Liffers, Matthias (orcid: 0000-0002-3639-2080)
jupyter, notebook, DataCite, api, python, metadata, DOI, training material