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”.

TECHNICAL APPRAISAL TOOLSimon Waddington (King’s College London)Jun Zhang (King’s College London)

Overview Introduction

Appraisal of digital objects at Tate

Functionality

Features

Architecture and implementation

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

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)

FeaturesDemonstrates 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

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)

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