About the Event
The ARDC Community Data Lab (CDL), initiated by the ARDC HASS and Indigenous Research Data Commons, offers diverse tools, datasets, analysis environments, and collaboration options for humanities, arts, social sciences and Indigenous researchers in Australia. It not only provides instruments and infrastructure but also establishes governance and protocols for robust research management.
The aim of the CDL is to develop and expand open access, generalisable, data-based capabilities and resources, such as software, workflows, workbenches, researcher guides, and curated data. This will enable new and improved HASS and Indigenous research, particularly in collaboration with the galleries, libraries, archives and museums (GLAM) sector. The ultimate objective is to create a robust CDL that promotes the sharing of tools and datasets, provides accessible tool execution environments, and empowers researchers to collaboratively analyse and annotate datasets.
CDL is entering its next phase, focusing on co-designing 5 new capabilities. Our goal is to develop infrastructure that maximises impact for research and researchers by involving the community in its creation. The new capabilities include:
- research tools and workflows for visualising and analysing data stored in RO-Crates (a format that packages data alongside its metadata and linkage information)
- an easy-to-use curated national Hansard (parliamentary proceedings and debates record) dataset to enable new and expanded HASS and Indigenous research – if you are interested in this capability, please also register for the co-design workshop on 25 February
- extracting, processing and searching text information from low-quality images of digitised documents and hand-written text
- a new national service to publish HASS and Indigenous collections as websites via a sustainable model that aligns with the FAIR Principles
- a framework for recommended patterns in software engineering when working with HASS and Indigenous data.
At this webinar, you will:
- learn about the CDL and the 5 new capabilities
- be introduced to the ARDC’s co-design process for developing national research infrastructure
- find out how you can contribute your ideas and experiences to help shape the new capabilities.
Spakers
- Dr Nichola Burton, Programs Architect (HASS and Indigenous Research Data Commons), ARDC
- Ellen Lyrtzis, Skills Development Lead (NCRIS), ARDC
Who Should Attend
- HASS and Indigenous researchers who are interested in discovering data, tools and guides that may support their research workflows
- Researchers interested in working with Hansard records (including policy advisors and researchers working for public officials)
- Research Software Engineers and researchers who work with software and tools to support HASS research
- Researchers who store, share and analyse data in RO-Crate format
- Researchers who work with digitised documents with difficult-to-process text information (such as handwritten notes attached to collections)
- HASS researchers who need to create a website to publish their data and document their workflows and/or tools (e.g. as an output of a project)
- People who support researchers in their use of digital research infrastructure (including research infrastructure providers and digital skills trainers)
What You’ll Gain
- Clear understanding of what the CDL is (and isn’t)
- Insight into CDL goals and capabilities
- Knowledge of the co-design process
- Awareness of the benefits and value of involvement
- Guidance on which co-design workshop to join to provide input
Recording
This session will be recorded. The recording will be provided to all registrants and published online.
Further Resources
- ARDC Community Data Lab Project
- HASS and Indigenous Research Data Commons
- Resources for HASS and Indigenous research
Do you have questions about this event? Contact us.
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Please note that this event will be recorded and published by the ARDC. This may include your contributions during the session. The ARDC respects the privacy of individuals. Information collected is in accordance with the ARDC Privacy Policy.