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]

Simon Waddington (King’s College London)

IDCC, Amsterdam, 25 February 2016

Introduction to the PERICLES project

9am

Welcome

Introduction to the aims of the session (5min) + Post-its

Presentation of concepts and design ideas within the PERICLES model-driven approach (25 min)

9:30am

Presentation of technical appraisal methods and requirements for semi-automated tools. (10 min)

Policy implementation for automated change management and quality assurance. (20 min)

Briefing and discussion on the breakout tasks, and introduce scenario. (10 min)

10.10am

Coffee break

10:30am

Review of post-its (5 min)

Breakout groups to discuss ◦ Technical appraisal ◦ Quality assurance and application of policies

11:45am

Collection of feedback from the groups with respect to practical implications of the proposed approach

12pm -12:30pm

Plenary discussion of different work group outcomes

Summary and wrap-up

The PERICLES project

Project objectives

Case studies

Model-driven preservation

Continuum approach

PERICLES: " Promoting and Enhancing Reuse of Information throughout the Content Lifecycle taking account of Evolving Semantics “

EC FP7 Integrated Project, Digital Preservation (Feb. 2013- Jan. 2017). 11 partners.

Facilitate continued understanding, access to and reuse of digital objects that are:◦ heterogeneous, volatile, complex and highly interconnected

Represent, derive and enforce policies that govern ◦ the management and evolution of content

◦ the management and evolution of the policies themselves

Integrated test beds addressing different application domains and users◦ Use for prototyping and evaluation

Sustainability of project outputs◦ Gathering and disseminating the knowledge created by the project

Capture and modelling of the environment◦ Understand the wider context around digital objects that impacts their long-term

reuse

Digital ecosystems◦ Analogy with biological systems◦ Evolving systems of interdependent entities

Model-driven ◦ Abstraction of complex systems as models that can be manipulated independently

Continuum approach◦ Merging of active-life and archival phases◦ Non-custodial

Case studies◦ Ensure relevance of results to practitioners. Should be extensible◦ Used for requirements, test scenarios, evaluation, sample datasets

Focuses on space science data originating from the ESA and International Space Station.

For example◦ Experiments that monitor the sun's

spectral variability to understand its effects on climate (SOLAR)

Raw data and telemetry are captured by the SOLAR instrument

Data are calibrated by solar scientists

The final dataset is made available to ◦ Scientists in other fields (e.g. climate)◦ Users of other instruments

ISS SOLAR instrument

B.USOC Operations

centre

SOLAR scientists

Other solar scientists

Scientists in other

disciplines

Raw data and

telemetry

Filtered SOLAR raw

data

Calibrated SOLAR data

Calibrated data –cross

instrument

Scientific results in

other disciplines

Complex processing chain from data capture to reuse by other scientific communities

Software-based artworks◦ Self-contained or networked systems

◦ Comprise hardware and software elements

Proprietary/open source/custom software

◦ Typically involve cutting edge technology

Unique and challenging to maintain

◦ Unlike physical artworks, often necessary to replace elements

Works can exist in multiple versions

◦ Synergies with the space science experiments

Complex dependencies

Sow Farm by John Gerrard

Brutalism, by Jose Carlos Martinat

Sampling-based approaches◦ PLANETS

Test bed – implement and evaluate potential changes on samplesets of data

Works well for individual objects – when we consider environment there are many options

◦ SCAPE Scalable approach to PLANETS

Descriptive models◦ CASPAR

◦ TIMBUS

◦ Preservation Network Models

PERICLES ◦ Build models automatically

◦ Use models for computation

SOLAR experiment

Data

Applications

Infrastructure

Digital video playback◦ Representation of a digital video resource

Video artwork as an aggregated resource

Player dependency

● Behavioural change● E.g. technological change, organisational change, legal

frameworks, which have an impact on dependencies or entities that may in turn affect other entities

● Semantic change◦ E.g. User community knowledge and practices

● If significant change occurs, it may impair or obstruct data reuse, access or interpretation

● Relation between change and dependency

● Understanding dependencies between digital objects and resources within their environment is the key to assess and manage change

● Given objects A and B. A is dependent on B if changes to B

have a significant impact on the state of A, or if changes to B

can impact the ability to perform function X on A.”

Depends onEntity A Entity B

"Digital Ecosystem" represents the surrounding environment of a digital object that impacts reuse

Digital ecosystem can include data objects, software, user communities, processes, technical services and their dependencies

Scope◦ The scope of the digital ecosystem depends on the

particular use case

What is a model? ◦ Abstract representation (of some aspects) of a digital

ecosystem◦ May only be approximate

Behavioural modelling◦ Encapsulation, visualisation◦ Enable simulations, make predictions

Knowledge modelling● Enable continued understanding and interpretation

● Facilitate retrieval

Reflexivity

Modelling language◦ Linked Resource Model (LRM)

Reactive◦ Implement changes when there is a known failure or

obsolescence (technology watch)

◦ Disadvantages

Don’t enable forward planning or value assessment

Could result in loss of availability if major actions are required

Predictive◦ Data-driven approaches to predicting change

◦ Estimate risk, proximity and impact

Technological risk – often occurs rapidly

User community change

OAIS, DCC Lifecycle Model ◦ Clear separation between active life and appraisal

In space science and time-based media, active life and preservation intersect◦ Space science experiments often run for decades

◦ Software based art is required for archival (e.g. reuse by scholars) as well as periodic redisplay

Non-custodial◦ Don’t assume that assets are placed in custody of a third

party

Contact: Simon Waddington◦ simon.waddington@kcl.ac.uk

Website◦ http://pericles-project.eu/

Public wiki ◦ https://projects.gwdg.de/projects/pericles-public/wiki

Twitter◦ https://twitter.com/PericlesFP7

PERICLES Infrastructure Community of Practice