Presentation at the Australasian Consortium of Humanities Research Centres (ACHRC), July 2013. Panel description:
The Digital Humanities offers not only new tools to support what we do in the Humanities, but also new ways of thinking about what it is that we do. This panel will build upon Alan Liu’s keynote discussion of ideas for digital tools for humanities advocacy and speak to the way non-digital centres can benefit from digital humanities initiatives.
3. the HuNI Project – a virtual laboratory for the
humanities
Humanities Network Infrastructure
http://huni.net.au/
4. • One of the Virtual Laboratories funded by the
National eResearch Collaboration Tools and
Resources (NeCTAR) project
• Integrating humanities data at a national level
• Deploying a Virtual Laboratory (or vLab) for
researchers to search for (discover), and work with
(analyse), the large-scale aggregations of HuNI data.
about HuNI
5. a partnership
… a Deakin led consortium
• Cultural data providers (10) – project co-operators
• Humanities software developer (1) – project co-
developers
• eResearch organisations (2) – lead development
agencies
6. HuNI partner datasets
AMHD
MAP
CAARP
Bonza
AFIRC
Circus Oz
AusStage
Media: film, cinema, theatre, newspapers, magazines,
advertising, music, live performances
DAAO
AustLit
AWR
ADB
DoS
Biographical: artists, designers, writers, significant
people, scientists, Sydney demographics
EOAS
AUSTLANG
Mura
Indigenous languages
15. Welcome to the Cinema and Audiences Research Project (CAARP) database: An online encyclopaedia of
cinema-going in Australia.
Data
This site contains information on film screenings and venues in Australia.
311,137 screenings
10,256 films
1,978 cinemas
1,649 companies
From 1846 to now
16. • NeCTAR investment of $1.329M
• Partner contributions of $480,000
• Partner in-kind contributions amounting to >$1M
a fiscal collaboration
17. a project
• project director/ community liaison lead (20%)
• project manager (100%)
• technical coordinator (100%)
• information services coordinator (90%)
• community liaison (20%)
• communication coordinator (20%)
• administrative support (20%)
• software developer(s)
The HuNI project began in June 2012 and runs until December
2013 (possibly June 2014).
18. overall data architecture
Data harvest,
transform
and ingest
Data update
and
publish ADB DAAO CAARP AFIRC AusStage
Solr Search Server
[HuNI Data]
RDF Triple Store
[HuNI Linked Data]
Data
analysis
and
mapping
HuNI Ontology
HuNI Virtual Laboratory
Scholarly researcher workflow tasks
Registration and login
Profile management
History recording
Project management
Admin tasks
Public web interface
Public and citizen
researcher workflow tasks
Data
discovery
Data
analysis
Data
sharing
Simple search
Advanced search
Save search results as
private collection
Refine / expand
collection
Analyse and annotate
collection
Export collection
Share collection and
analysis
Simple search
Advanced search
Share search results
Deep (SPARQL-based)
search
Corbicula
Data
integration
HuNI
side
Partner
side
28. • Ensure that Australian cultural datasets and the research associated with
them become part of the emerging international Linked Open Data
environment.
• Enable research enquiries to move easily from: what is? to where is?
• Support the role of annotation and metadata in discovery of new
knowledge or the means to elucidate new knowledge
• Position the idea of data as both a subject and object of analysis in
humanities
• Contribute to debates around standards for development and
implementation
Broad Benefits
29. • Enable humanities researchers to work with cultural datasets more
efficiently and effectively, and on a larger scale than is presently possible;
• Encourage the systematic sharing of research data between humanities
researchers (including the cultural dataset curators themselves), the
community and cultural institutions;
• Encourage a higher level of cross-disciplinary and interdisciplinary
research, both within the humanities/creative arts and between the
humanities/creative arts and other disciplines, and the wider public;
• Support innovative methodologies such as network analysis, game theory
and ‘virtual history’ that rely on large-scale datasets
Specific Benefits
30. 1. Organisational level: the goals and processes of the institutions involved
2. The semantic level: meaning of the exchanged digital resources
3. Technical level: implementing data interoperability requires both data
integration and data exchange processes as well as enabling effective use
of the data that becomes available
Pasquale Pagano, ‘Data Interoperability’ (GRDI2020)
4. Project level: The advent of more complex ‘big humanities’ projects
requires multiple and multi-disciplinary personnel which in turn entails
the organization of different workflows and expectations: e.g. challenge of
developing a comprehensive or consortial approach, common definition
of project method and so on.
Challenges - interoperability
32. CRICOS Provider Code: 00113B
Research My World
Deb Verhoeven, ACHRC, July 2013
„Research My World‟
launched in April 2013:
• eight projects
• spanning a range of
discipline areas and
project types
• Aiming for $5,000-$20,000
• One admin assistant at 0.2
33. CRICOS Provider Code: 00113B
Research My World
Deb Verhoeven, ACHRC, July 2013
Pilot completed June 2013:
• six successful
• $50,000 of new research
funding
• more than 200 media
stories
• more than 3,600 specific
tweets (incl. Stephen Fry
to 5.5m followers)
35. CRICOS Provider Code: 00113B
Broad benefits
Deb Verhoeven, ACHRC, July 2013
• Disintermediation of research funding
• Reduction of “compliance burden” for
researchers (and universities)
• Digital “presence building” for the
researchers and their work including
capacity building in digital
culture/skills for the researchers
36. CRICOS Provider Code: 00113B
Specific benefits
Deb Verhoeven, ACHRC, July 2013
• Provide a unique opportunity to promote research
in terms of its meaning to communities and not
just other academics („to bring research home‟).
Successful funding campaigns relied on clear
communication of projects and social and
traditional media engagement.
• Shift the way universities promote research in an
increasingly networked environment
• Provide an additional funding stream for
researchers, particularly those at the start of their
career
37. CRICOS Provider Code: 00113B
Specific benefits
Deb Verhoeven, ACHRC, July 2013
• Focus effort on communicating with the
public rather than labour-intensive, highly
competitive, blind reviewed funding
applications with diminishing success rates
• Provide „discipline-neutral‟ opportunity; both
science and humanities-creative arts were
able to generate funds if community relevance
was demonstrated
38. CRICOS Provider Code: 00113B
Challenges
Deb Verhoeven, ACHRC, July 2013
• the „digital capacity‟ of individual academics
• the „digital capacity‟ of academic institutions
• expectations arising from the difference
between existing campaigns for crowdfunding
and those specific to a projects with „research‟
focus
• the public‟s response to projects from
different research disciplines
Editor's Notes
http://huni.esrc.unimelb.edu.au/#/search
The lab is being designed to support the non-linear research methods practiced in the humanities and creative arts, and will support a workflow centred around discovery, analysis and sharing. As part of the discovery interface a researcher will be able to:Run a free text search across the aggregate and display their results Perform an advanced faceted browse of the aggregate by filtering their results by dataset and entity classes defined in the ontology: people, works, events, organisation, occupation/role, time, place, collections, language, objects. Narrow their search parameters at the start of their search by browsing for information within pre-defined access points. These are likely to be people, works and events since these entity classes are representative across all 28 data sources. Following the initial browse, the user can then filter their search results by dataset and the remaining entity classes.Run a SPARQL query to interrogate the underlying Linked Data The discovery interface is also going to enable serendipitous discovery (i.e. the ability to present information to users before they know what they want to search for):You might also be interested in... (based on the semantic relationships captured in the ontology)The notion of a generous interface is being included (based on some pre-defined daily query feeds), to give the researcher a sense of what is discoverable:On this day…Most popular searchesMost popular records The result sets will be displayed in a number of forms, with list being the default and map and timeline being optional. All search results will be displayed with hyperlinks that allow navigation to the source entity and will show the connections between records as per the ontology mappings
The LORE Tool (developed at UQ) will be made available in the lab where researchers will be able to:Display existing connections between relevant records held within their virtual collection, and Add further links between particular records, with commentary describing the relationship between them
Researchers will have the option to export their Virtual Collection as a .csv file so they can undertake further computational analysis outside of the HuNI lab and within their preferred tool environment.Whilst the lab will include a Tool Integration Framework specifying how third party tools can integrate within the lab and work with HuNI data, we recognize that tools come and go, and that researchers create their own relationship with their tools of choice. So offering an export function is crucial.
Researchers will have the option to share their virtual collection, and their analysis findings, via FB, twitter and email with other researchers
Question of consortial project management…Need to create best practice exemplars at the project management level…
have demonstrated that people will fund research projects in this way.showed that you can raise up to A$20,000 this way.showed that you can use crowdfunding for different types of research.showed that you can use crowdfunding for different stages of the research cycle.allowed people to give funds in return for a tax deduction and demonstrated that a tax-deductible donation is enough to attract support.