27. 10 Dec 2015 Artivity 27
The problem
●
Art is about the process not
about the outcome
Gino Ballantyne
28. 10 Dec 2015 Artivity 28
Key audience
●
Artists
– self-archiving
●
Researchers interested in art history
– data about context – mode of work
●
Researchers interested in technique
– data about software tools and settings
●
authenticity of digital art
29. 10 Dec 2015 Artivity 29
Strands
●
Research data deposit and sharing protocols & tools
●
Data creation, deposit and re-use by discipline
●
Research data systems integration and interoperability
●
Research data analytics
●
Shared research data services
30. 10 Dec 2015 Artivity 30
Strands
●
Research data deposit and sharing protocols & tools
●
Data creation, deposit and re-use by discipline
●
Research data systems integration and interoperability
●
Research data analytics
●
Shared research data services
in the
arts
31. 10 Dec 2015 Artivity 31
Extended audiences
●
Invoicing for freelancers / design studios
– time spent of projects – people involved – resources used
●
Group design
– attribution – justification – annotation
●
University administration
– provide data for REF
●
Teaching / learning
– share instructions – automated assessment – evaluate exercises
●
Developers of creative software
– find out about the popularity / use of features
34. 10 Dec 2015 Artivity 34
What we promised
●
data format
●
sustainability+
35. 10 Dec 2015 Artivity 35
What we delivered
●
Cross-platform Artivity deamon and Explorer
– .NET/mono
– Linux, MacOSX, Windows
36.
37.
38.
39.
40.
41. 10 Dec 2015 Artivity 41
What we delivered
●
Cross-platform Artivity deamon and Explorer
– .NET/mono
– Linux, MacOSX, Windows
●
Krita plugin
42.
43. 10 Dec 2015 Artivity 43
What we delivered
●
Cross-platform Artivity deamon and Explorer
– .NET/mono
– Linux, MacOSX, Windows
●
Krita plugin
●
Libre Graphics Meeting 2016
– London
44.
45. 10 Dec 2015 Artivity 45
What we delivered
●
Cross-platform Artivity deamon and Explorer
– .NET/mono
– Linux, MacOSX, Windows
●
Krita plugin
●
Libre Graphics Meeting 2016
– London
●
Artivity data model
– based on W3C PROV ontology
46.
47.
48. 10 Dec 2015 Artivity 48
Mass deployment
●
Deployment in UAL network
– MS Windows: 3800 machines
(55%)
– MacOS: 3200 machines (45%)
– Adobe CS: 5200 machines
(76%)
49. 10 Dec 2015 Artivity 49
Sustainability
●
How to fund further development:
– developer communities to contribute (e.g. by maintaining
plugins)
– commercial add-ons to fund part of core development
– push Artivity as a solution for Arts related REF submissions
– deploy in large institutions
– Artivity as a service (e.g. UAL or even JISC)
50. 10 Dec 2015 Artivity 50
Sustainability
●
Why software is future safe:
– licenses checked: GPL and MIT
– .NET/mono is a popular project
– Openlink virtuoso is also popular
●
any triple store will do
– Eto.forms is a healthy open source project
●
any UI toolkit will do
– Automated compiling is possible
●
Jenkins deployment and documentation
– Standard client/server architecture
51. 10 Dec 2015 Artivity 51
Phase 3: Project partners
●
University of the Arts London
●
Semiodesk
52.
53.
54. 10 Dec 2015 Artivity 54
Phase 3: Project plan
Jan Feb Mar Apr May Jun
Photoshop plugin
Illustrator plugin deposit: e.g. ORCID, e-prints
MacOSX
deployment
Windows
deployment
Testing: Ballantyne, Gander
LGM
UAL deploy
Proposals:
●
CHArt conference – October 2016 (?)
●
AAH – April 2017
●
DH 2017 – August 2017
55. 10 Dec 2015 Artivity 55
Phase 3: Budget
●
Development costs: £20,000
●
Testing: £2,000
●
Directly Allocated:
– Research time: £9,346
– Admin: £1,974
●
Indirect costs: £7,831
●
Travel: £1,100
●
Total FEC: £41,651
●
JISC to fund: £31,688