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9 materials found

Authors: Barlow, Melanie (orcid: 000...  or Cooke, Steele  or Tim Sherratt 

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://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) 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://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) 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://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) 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://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) 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://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) ARDC Community Data Lab text analysis, Australian Text Analytics Platform (ATAP), Trove, GLAM Workbench, Trove Newspaper and Gazette Harvester, newspapers, HASS
WORKSHOP: Unlocking nf-core - customising workflows for your research

This record includes training materials associated with the Australian BioCommons workshop Unlocking nf-core - customising workflows for your research’. This workshop took place over two, 3 hour sessions on 18-19 May 2023.

Event description

Processing and analysing omics datasets poses many...

Keywords: Bioinformatics, Workflows, Nextflow, nf-core

WORKSHOP: Unlocking nf-core - customising workflows for your research https://dresa.org.au/materials/workshop-unlocking-nf-core-customising-workflows-for-your-research-1584ff39-e007-4422-9fd5-4e407df6b6c5 This record includes training materials associated with the Australian BioCommons workshop Unlocking nf-core - customising workflows for your research’. This workshop took place over two, 3 hour sessions on 18-19 May 2023. Event description Processing and analysing omics datasets poses many challenges to life scientists, particularly when we need to share our methods with other researchers and scale up our research. Public and reproducible bioinformatics workflows, like those developed by nf-core, are invaluable resources for the life science community. nf-core is a community-driven effort to provide high-quality bioinformatics workflows for common analyses including, RNAseq, mapping, variant calling, and single cell transcriptomics. A big advantage of using nf-core workflows is the ability to customise and optimise them for different computational environments, types and sizes of data and research goals.  This workshop will set you up with the foundational knowledge required to run and customise nf-core workflows in a reproducible manner. On day 1 you will learn about the nf-core tools utility, and step through the code structure of nf-core workflows. Then on day 2, using the nf-core/rnaseq workflow as an example, you will explore the various ways to adjust the workflow parameters, customise processes, and configure the workflow for your computational environment. This workshop event and accompanying materials were developed by the Sydney Informatics Hub, University of Sydney in partnership with Seqera Labs, Pawsey Supercomputing Research Centre, and Australia’s National Research Education Network (AARNet). The workshop was enabled through the Australian BioCommons - Bring Your Own Data Platforms project (Australian Research Data Commons and NCRIS via Bioplatforms Australia).  Materials 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. nfcore_Schedule: Schedule for the workshop providing a breakdown of topics and timings nfcore_Q_and_A: Archive of questions and their answers from the workshop Slack Channel. Materials shared elsewhere: This workshop follows the accompanying training materials that were developed by the Sydney Informatics Hub, University of Sydney in partnership with Seqera Labs, Pawsey Supercomputing Research Centre, and Australia’s National Research Education Network (AARNet).  https://sydney-informatics-hub.github.io/customising-nfcore-workshop Melissa Burke (melissa@biocommons.org.au) Bioinformatics, Workflows, Nextflow, nf-core
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://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 training material, FAIR data, video, webinar, activities, quiz, FAIR, research data management
WORKSHOP: Unlocking nf-core - customising workflows for your research

This record includes training materials associated with the Australian BioCommons workshop Unlocking nf-core - customising workflows for your research’. This workshop took place over two, 3 hour sessions on 18-19 May 2023.

Event description

Processing and analysing omics datasets poses many...

Keywords: Bioinformatics, Workflows, Nextflow, nf-core

WORKSHOP: Unlocking nf-core - customising workflows for your research https://dresa.org.au/materials/workshop-unlocking-nf-core-customising-workflows-for-your-research This record includes training materials associated with the Australian BioCommons workshop Unlocking nf-core - customising workflows for your research’. This workshop took place over two, 3 hour sessions on 18-19 May 2023. Event description Processing and analysing omics datasets poses many challenges to life scientists, particularly when we need to share our methods with other researchers and scale up our research. Public and reproducible bioinformatics workflows, like those developed by nf-core, are invaluable resources for the life science community. nf-core is a community-driven effort to provide high-quality bioinformatics workflows for common analyses including, RNAseq, mapping, variant calling, and single cell transcriptomics. A big advantage of using nf-core workflows is the ability to customise and optimise them for different computational environments, types and sizes of data and research goals.  This workshop will set you up with the foundational knowledge required to run and customise nf-core workflows in a reproducible manner. On day 1 you will learn about the nf-core tools utility, and step through the code structure of nf-core workflows. Then on day 2, using the nf-core/rnaseq workflow as an example, you will explore the various ways to adjust the workflow parameters, customise processes, and configure the workflow for your computational environment. This workshop event and accompanying materials were developed by the Sydney Informatics Hub, University of Sydney in partnership with Seqera Labs, Pawsey Supercomputing Research Centre, and Australia’s National Research Education Network (AARNet). The workshop was enabled through the Australian BioCommons - Bring Your Own Data Platforms project (Australian Research Data Commons and NCRIS via Bioplatforms Australia).  Materials 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. nfcore_Schedule: Schedule for the workshop providing a breakdown of topics and timings nfcore_Q_and_A: Archive of questions and their answers from the workshop Slack Channel. Materials shared elsewhere: This workshop follows the accompanying training materials that were developed by the Sydney Informatics Hub, University of Sydney in partnership with Seqera Labs, Pawsey Supercomputing Research Centre, and Australia’s National Research Education Network (AARNet).  https://sydney-informatics-hub.github.io/customising-nfcore-workshop Melissa Burke (melissa@biocommons.org.au) Bioinformatics, Workflows, Nextflow, nf-core
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://dresa.org.au/materials/ardc-fair-data-101-self-guided-bba41a59-8479-4f4f-b9ee-337b9eb294bf 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 training material, FAIR data, video, webinar, activities, quiz, FAIR, research data management