Artivity phase 3 pitch

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Semantic Desktop for Art practice - Research data spring Artivity 10/12/2015

Transcript of Artivity phase 3 pitch

Semantic Desktop for Art practice - Research data springArtivity10/12/2015

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The problem

● Art is about the process not about the outcome

Gino Ballantyne

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(wifi – GPS data)

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The problem

● Art is about the process not about the outcome

Gino Ballantyne

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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

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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

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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 ar

ts

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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

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What we promised

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What we promised

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What we promised

● data format● sustainability+

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What we delivered

● Cross-platform Artivity deamon and Explorer– .NET/mono– Linux, MacOSX, Windows

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What we delivered

● Cross-platform Artivity deamon and Explorer– .NET/mono– Linux, MacOSX, Windows

● Krita plugin

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What we delivered

● Cross-platform Artivity deamon and Explorer– .NET/mono– Linux, MacOSX, Windows

● Krita plugin● Libre Graphics Meeting 2016

– London

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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

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Mass deployment

● Deployment in UAL network– MS Windows: 3800 machines

(55%)– MacOS: 3200 machines (45%)– Adobe CS: 5200 machines

(76%)

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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)

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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

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Phase 3: Project partners

● University of the Arts London● Semiodesk

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Phase 3: Project planJan 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

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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

Avani Kamal - http://avanikamal.com/

Wendy Robertshttp://wendysianroberts.blogspot.co.uk/