This presentation was delivered by Simon Waddington from PERICLES project partner King’s College London at the interactive workshop ‘Eye of the Storm: Preserving Digital Content in an Ever-Changing World’ (Wellcome Collection Conference Centre, London, 2 December 2016).
This full-day event aimed at introducing and experimenting with the PERICLES model-driven approach demonstrating its usefulness for managing change in evolving digital ecosystems.
http://pericles-project.eu/
PERICLES Technical Appraisal Tool - ‘Eye of the Storm: Preserving Digital Content in an Ever-Changing World’
1. GRANT AGREEMENT: 601138 | SCHEME FP7 ICT 2011.4.3
Promoting and Enhancing Reuse of Information throughout the Content Lifecycle taking account of Evolving
Semantics [Digital Preservation]
“This project has received funding from the European Union’s
Seventh Framework Programme for research, technological
development and demonstration under grant agreement no601138”.
Simon Waddington (King’s College London)
Jun Zhang (King’s College London)
3. Introduction
Technical appraisal is the process of
determining the (on-going) feasibility of
preserving the digital objects
◦ Maintenance in a reusable form
◦ Takes into account obsolescence of software,
formats etc.
Aim to produce a general purpose tool
◦ Conference demonstrator is for digital video
4. Digital video art at Tate
Circa 500 video artworks, increasing at c. 50 works
per year
Limited (though increasing) and familiar
technologies. In-house experience and regular use.
Production environment similar to quality checking
environment.
Existing network of experts
Common technologies within the communities of
Practice
Bruce Nauman, Violent Incident 1986 (T06732)
5. Features
Demonstrates use of:
External data sources to estimate risk (e.g.
obsolescence, hardware failure)
◦ Search engines
◦ Software repositories
◦ Wikipedia
Ecosystem models
◦ PERICLES Digital Video Art (DVA) (extended) ontology and
Linked Resource Model (LRM)
◦ Captures dependencies between artwork components
◦ Represents expert knowledge about video playback
6. Functionality
Collection and object level risk assessment for complex
digital objects
◦ Support proximity estimation and confidence estimates
Component level risk analysis
◦ Identify high-risk components across collections
◦ Provide graphical views
Object-level risk analysis
◦ Presents risks to individual components in an object
◦ Determine potential recoverability actions
Link to MICE tool for impact visualisation (in progress)
7. Architecture and implementation
Service Layer
External Data Sources
Storage Layer
User Interface
Web Server
Metadata
Extraction
Statistical
Analysis
Risk-
impact
Analysis
Instance
Store
Knowledge
Base
Data
Harvester
Java web services framework
based on Apache Tomcat
Components written in R and
Python
User interface uses HTML5,
JavaScript and CSS3
Due for release – first quarter
of 2017
Notas do Editor
Tate holds about 500 video works, which range between individual videos and video installations of over 10-channels (which means they are made of more than 10 different video)
Historically we received them as video tape, and we are currently transfering these to file formats. Since 2008 we have also seen a huge increase of works arriving in file formats, and although there is clearly a dominance of different flavours of apple prores. Our current policy is to keep the files in the format they were produced in, as this is part of an artworks technical history.