1. Humanities Networked Infrastructure
Linking and Sharing Data
for the Humanities and Creative Arts:
building the HuNI Virtual Laboratory
Dr Toby Burrows, HuNI Product Owner (University of W.A.)
Prof Deb Verhoeven, HuNI Project Director (Deakin University)
huni.net.au
wiki.huni.net.au
2. Building a new national data service that is of cultural
significance and widely accessible, now and in the future
Tools and apps
The HuNI project is:
•Integrating cultural data at a national
level
•Making this new data service
accessible to all
•Connecting to the Linked Data Cloud
•Building the foundations for future
growth
App
Tool
HuNI
lab app
API
HuNI
National Data
Service
Existing
28
NEW
Data sources
App
3. HuNI is…
• Big – 275,000 entities and growing
• Multi-disciplinary and cross-disciplinary – 28 data sources
• Capable of answering complex questions quickly
4. Users of the HuNI lab app can…
• Discover and explore across the aggregated data
• Make connections and create “socially-linked” data
• Save and share their data and their findings
• Curate and import their own data
10. HuNI will change the nature of humanities research
• Working with data on a much larger scale
• Breaking down disciplinary boundaries around data
• Promoting data sharing
• Encouraging collaboration to enrich data
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17. The amphibology of humanities data
• How would you describe this music?
• What’s Australian about this song?
18. Follow our progress
Project wiki
wiki.huni.net.au
HuNI website
HuNI lab prototype
huni.net.au
ers
Te s t
*
ed
want
app.huni.net.au
Hinweis der Redaktion
High-level look at HuNI – purpose, objectives, benefits and value
Not going to look at the system architecture or the technical details of the project
The HuNI Web site gives you all the project information
The HuNI Wiki gives you all the technical details: data model, data integration pipelines, virtual laboratory functions
I’m also going to give you some illustrations of the complexities of humanities research processes – which HuNI aims to address
28 Australian data sources: mapped to a common Data Model, but not merged or de-duplicated
Retain provenance of individual metadata records
Data Model is deliberately broad and high-level – six high-level entities only
Aggregated data will be published as RDF for reuse in the Linked Data Cloud
Discover and explore: any user (not logged in)
Other functions: need an account. Will be open to general community, not just researchers
Social linking – saying “this entity is related to that entity”
Save and share: virtual collections
Curate and import – working with Heurist to enable this
A few quick screen shots from the original prototype
Search prototype is still available from the HuNI Web site
The Virtual Lab functions (“My HuNI”) are being redeveloped – prototype no longer available
Search results
Note: data sources, provenance information, ability to save record to a personal collection, ability to connect/link records
Network graph for each entity, showing other nodes connected to it (six degrees of separation)
A personal virtual collection
Details of the records in that collection
Includes connections created by the user (i.e. me)
“Entity types” will be replaced by entities from the new Data Model
Researcher- or user-centred – entity records, not library / museum / gallery catalogue records
Data sources come from multiple disciplines – different vocabularies, different metadata schemas and database structures
Data sharing not the norm in the humanities – can decide whether and when to share data
Can build on others’ annotations (“massively single-player online game” – Will Wright)
Collaboration at the heart of the virtual laboratory – shared collections, shared data, shared connections and links between entities
Need to allow for the complex and unique nature of research in humanities and creative arts
A couple of examples to illustrate the nature of humanities data and humanities research
Firstly: the multidisciplinary nature of data and research, and the way it’s centred on entities (people, works, objects, places, concepts…)
Ned Kelly the person + the body + the author
Ned Kelly in literature
Ned Kelly in film
Ned Kelly as theatre
Ned Kelly in art
Ned Kelly as popular culture and tourist attraction
Secondly: much of humanities research is about making connections and following trails
Then assessing the significance of these connections and relationships
Example – relationship between Paul Kelly to Ned Kelly, with 15 degrees of separation
Paul Kelly – One night the moon – Kaarin Fairfax – Around the World in 80 Ways – Stephen MacLean – StarStruck –
Gillian Armstrong – Journey among women – Tom Cowan – Promised Woman – Dorothy Hewett –
Heartlands – John Kinsella – Randolph Stow – Tourmaline – Sidney Nolan – Ned Kelly
At the heart of humanities research – debates over categorization and definition
A mistake to impose a normalized vocabulary – humanities data should not be homogenized!
We’re trying to build some of this fuzziness into HuNI – with a bit of wah-wah too…
HuNI is due to be launched in June – opportunities to test and provide feedback before then