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DURAARK Preserving Architectural Knowledge

Michelle Lindlar (LUH / TIB)

DEDICATE – Final SeminarGlasgow, October 21st 2013

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TIB (Technische Informationsbibliothek)is the German National Library of Science and Technology

Why architectural data?subjects: engineering, architecture, chemistry, computer science, mathematics and physics

Competence centre for non-textual materials (KNM)

2007 – 2011 DFG funded PROBADO3D projectmetadata and content based search for digital architectural 3D models

http://www.probado.de/en_3d.html

Why digital preservation?2009-2011: Goportis digital preservation pilot project, together with our Goportis partners ZB MED and ZBW

Since 2012: Goportis digital preservation system hosted by TIB

A few words about TIB

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DURAARK (DURAble Architectural Knowledge)FP7 – ICT – Digital Preservation (STReP)February 2013 – January 2016

GoalDevelop methods and tools for sustainable long-term preservation of building data (3D and BIM models, metadata, related knowledge & Web data)

Scope• address all layers of digital preservation (bit,

logical, semantic)• interlinked curation and preservation workflows• focus on two file formats: IFC and E57• incorporate existing OAIS compliant digital

preservation system

Project overview

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Tangible outcomes

Semantic enrichment: Vocabularies for description of built structures and enrichment techniques based on a unified and sustainable naming scheme

Tailored Workflows: Thoroughly investigate requirements of institutional stakeholders (libraries/archives) and SMEs on long-term archiving. Develop according workflows.

Sustainability of file formats: Face problem of digital decay by using Industry Foundation Classes (IFC) and E57 as open and already well-established file formats suited for long-term preservation. Ensure availabilityof characterization tools for those formats.

Goal and Tangible Outcomes

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DURAARK – an interdisciplinary project

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TUE, Department of the Built Environment, Eindhoven University of Technology- WP3 leader, semantics & metadata

CITA, Center for Information Technology and Architecture Copenhagen- WP7 leader, evaluation, test

LUH: German National Library of Science and Technology (TIB) & L3S Research Center Hannover

-Coordinator- WP3 Semantic Enrichment- WP6 leader, long-term preservationLuleå University of Technology

- WP8 leader, dissemination/exploitation

Fraunhofer Austria- WP2 leader, system specification & integration

UBO: Universität Bonn- Technical Coordinator- WP4/WP5: change management, shape recognition

Catenda, SME- User perspective, market requirements, evaluation

ConsortiumJakob Beetz (Eindhoven University of Technology)

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3 layers of a digital object

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risks:• media obsolescence• technical failure• human error• DRM

possible actions:• media migration, refreshing, replication• technological redundancy, ideally with geographic spread• error detection, monitoring, recovery & disaster planning• controlled storage with regular maintenance• security and trust

Solved through „good IT practice“ (which, of course,needs to be implemented …)

1. Bit(stream) [Physical] preservation layer

http://commons.wikimedia.org/wiki/File:Compact_Floppy.jpg

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risks:• software / file format obsolesence• software OS hardware dependencies

• additionally: configuration / package dependencies• lack of compliance to format standards („mal-formed objects“)• DRM

possible actions:• migration, emulation, normalization• „hardware museum“• data/information extraction• extensive technical metadata capturing• definition of significant properties (what to preserve)

Established basic processes … but theyrequire adaptation for new formats.

2. Logical [object] preservation layer

http://www.flickr.com/photos/89771128@N02/8451172304/in/pool-2121762@N23

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risks:• terminology and concepts change over time• context and provenance may be lost

(purpose, setting, limitations, cultural context, related objects)

possible actions:• semantic enrichment• tracing of metadata• audit trail capturing• migration at semantic level• documentation of context• document intended meaning / interpretation

Least developed area of digital preservation

3. Semantic [interpretability] preservation layer

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DURAARK Stack

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Use Cases (1/2)

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DURAARK stakeholders

producers

long-termdata stewards

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DURAARK stakeholders

consumers

long-termdata stewards

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Curation and Preservation

producer /consumer

long-termdatasteward

Actionsneed to meetrequirements of

DCC Curation Lifecycle Modelhttp://www.dcc.ac.uk/resources/curation-lifecycle-model

Createsdatato bepreservedby

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Consumer Use Cases

• result of stakeholder analysis• describe desired use, re-use, access• will be adressed in geometric and

semantic enrichment processing layer

Knowing why something should bepreserved helps us in evaluating thecharacteristics to be preserved

Use Cases (2/2)

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OAIS: Information Object

http://public.ccsds.org/publications/archive/650x0m2.pdf

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Metadata: Technical„Metadata that describes the technical state of and process used to create a file. Often closely related either to its file format or the original software used to create the file, e.g. scanning equipment and settings used to create or modify a digital object.“http://www.digitalpreservation.gov/ndsa/ndsa-glossary.html

Information needed in order to maintain access to the file

Significant properties:criteria which an institutionconsiders important factors of an object‘s quality, structureor behaviour, which should bepreserved over time, i.e. over the course of digital preservation actions.

http://public.ccsds.org/publications/archive/650x0m2.pdf

Technical Metadata

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File format characterization

Existing tools for various fileformats:

Jhove, Tika, fido, fits, DROID, …

Few existing tools for IFC and E57:

E57 validator, IFC validator

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National Library of Australia: Testing Software Tools of Potential Interest for Digital Preservationhttp://www.openplanetsfoundation.org/system/files/Digital%20Preservation%20Project%20Report%20-%20Testing%20Software%20Tools.pdf

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IFC extraction:geometry typesschema versionimplementation levelapplicationversion of applicationmeasurement unitsMVDgeotaggedgross areanumber of stories…

E57 extraction:geo-referenced (yes/no)total square metrenumber of floorsresolution settingsquality settingssensor model, sensor serial number, …total number of scanstotal number of pointsintensity (yes/no)colour (yes/no)reasons for spatial disturbance: distribution

of detected elementssub quality parameters (positioning) – in %

e.g., distance error matched references; occupied quadrants

sub quality parameters (references) – in %e.g., point drift, longitudinal mismatch

…

Potential candidates for technical metadata

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Currently developing stakeholder questionnaire

covering the following areas:– data holdings (formats, SW, produced internally / externally)– data storage / management (data carriers, backup practises, archiving

practises) – access (when, for what reason)– experience with data loss (yes/no, reasons)

Looking for interested institutionsand multiplicators !

Want to help?

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Thank you. Questions? Suggestions?

michelle.lindlar@tib.uni-hannover.de