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Securing
Communication with
the future
SHAMAN will provide a next-generation
Digital Preservation Framework.
It develops exemplary Application
Prototypes to investigate advantages
and impacts of integrating SHAMAN’s
New DP Component Technologies
as well as legacy into New
Applicagtion Solutions along
SHAMAN’s Reference Architecture
that extends OAIS.
Validation of the SHAMAN framework
viability will be focused in three
Application Trial Domains:

   scientific publishing in libraries and
   documents in governmental archives


   digital objects used in industrial
   design and engineering processes


   data resources used in e-Science
   applications
SHAMAN’s PCAs supporting Interoperability

 PCA                         PCA NAME                               PCA COORDINATION




       Distributed Resource Management Infrastructure
  1                                                       Jose Borbinha (INESC-ID)
       Framework and Gridbased Resource Integration



       Contextual and Multivalent Archival and
  2                                                       Matthias Hemmje (Univ. of Hagen)
           Preservation Processes



       Semantic, Constraint-based Collection Management
  3                                                       Jean-Pierre Chanod (XEROX RCE)
          Systems



  4    Managing Future Requirements                       Adil Hasan (Univ. of Liverpool)
SHAMAN’s WPs and PCAs supporting Component R&D

WP 1    Requirements Analysis and Identification of User
                                                           Perla Innocenti (HATII, Univ. of Glasgow),
        Scenarios
WP 2    Design and Specification of the SHAMAN Digital     Milena Dobreva (U. Strathclyde, Glasgow)
        Preservation Framework                                                                          PCA1
WP 5                                                       Martin Mois (Univ. of Hagen)
        Data Grid Implementation

WP 3    Context Capturing, Representation, and
                                                           Claus-Peter Klas (Univ. of Hagen),
        Management
WP 4    Multivalent Preservation Interface and Media
        Engines
                                                           Paul Watry (Univ. of Liverpool),             PCA2
WP 6    Harmonisation, Basic Analysis and Ingest           Jean-Pierre Chanod (Xerox RCE)

WP 7    Advanced Information Extraction and Knowledge
        Engineering                                        Jean-Pierre Chanod (Xerox RCE)
                                                                                                        PCA3
WP 8    Managing Shared Collections                        Jens Ludwig (SUB)

WP 9    Interoperability with Future Environments
                                                           Paul Watry (Univ. of Liverpool)
                                                                                                        PCA4
WP 10   Maintaining Essential Properties
                                                           Jana Dittmann (Univ. of Magdeburg)
SHAMAN’s ISPs – Supporting
  Cohesion, Integration, Evaluation, and Demonstration

WP 11   Document Production, Archival,
        Access and Reuse in the Context of
        Memory Institutions for                    Alfred Krahnstedt (DNB)          ISP1
        Scientific and
        Governmental Collections
WP 12   Simple and Connected Object Production,
        Archival and Reuse in the                  Andreas Hundsdörfer (InConTec)   ISP2
        Industrial Design and Engineering Domain

WP 13   eScience Data-Acquisition and
        Harmonisation Testbed                      Jose Borbinha (INESC/ID)         ISP3
SHAMAN’s Integration & Demonstration
Subprojects (ISPs)
    Foster Systematic Evolution of Project Results…
            ISP 1 – Document Production, Archival, Access and Reuse in the Context of Memory
             Institutions for Scientific and Governmental Collections
            ISP 2 – Simple and Connected Object Production, Archival and Reuse in the Industrial
             Design and Engineering Domain
            ISP 3 – eScience Data-Acquisition and Harmonisation Testbed
    Horizontal Integration of RTD Contributions




07.11.2008
Fine, that is the SHAMAN Project structure …

       but how will the project work




                ?
Strategic R&D Impact Steering:
Early Focus on Impact Drivers
Tactical R&D WP Steering (I):
Early Operational Consequences for Requirements Analysis in WP1
Tactical R&D WP Steering (II):
Early Operational Consequences for the Reference Architecture in WP2
SHAMAN’s legacy in ISP-1 (I): KOPAL (DNB, SUB)
SHAMAN’s legacy in ISP-1 (II): KOLIBRI (DNB, SUB)
SHAMAN’s legacy in ISP-1 (III): DIAS (IBM)
                                                                                     Query
                                                                                    Results
                                                    Permanent Access
                                                        Toolbox
                                             Preservation Planning
                            SIP           Preservation Preservation                DIP
                                           Processor      Manager
                                                                                              Metadata
SIP*                                                                                           Query            DIP***
    METS                                               Data
                                                                                                      METS
Data       Ingest                                                                     Access               Data
     KB                                             Management                                         KB
   MPEG-21                                 Standard Custom                                           MPEG-21
                                                                                                         Metadata
                                      AIP**                              AIP                              Query

                                              Archival       Storage



            Administration                                                      Monitoring & Logging
                                                    BusinessObjects
       *    = SIP: Submission Information Package              *** = DIP: Dissemination Information Package
       **   = AIP: Archival Information Package
SHAMAN’s requirements analysis in ISP-1 (IV):
         Scientific Publication P&R Context

 Creation

                  Review                             Scientific congress publication
                                     Production       process can make available
                    Publication
                                                      rich set of information to the
                           Acquisition/ Ingest        reuse context
Scientific                                           Scientific community web
Information and         Archival/ Preservation
Publication                                           publishing and DL application
Process
                         Distribution/ Access         CO CONGRESS ONLINE ®
                                                      can be extended to capture
                   Interpretation
                                                      context data beyond the
                                          Reuse
               Reflection                             immediate requirements of
                                                      scientific event organization
Interlinking
Usage Scenario in ISP-2 (I): D&E Scenario and the OAIS Reference Model

                         Design & Engineering
                             P&R Context




Multivalent approaches                                               Providing ingestion and access in
preserving CAD models                                                distributed heterogeneous
• migration                                                          industrial engineering szenarios
• emulation                                                          with collaboration support

                                   Base diagram from: Consultative Comitee for Space Data Systems (2002):
                                   Reference Model for an
                                   Open Archival Information System (OAIS); CCSDS 650.0-B-1; BLUE BOOK
ISP-2 (II): R&D Dimensions of the Engineering Scenario
            Discover   Search   Collate   Interpret   Re-present




        CAD/CAE Data Collaboration
Basic Research Challenges in SHAMAN
    Theory of Preservation: that may be used to store and access potentially
     any type of data, based on the integration of digital library, persistent
     archive, and data management technologies.

    Infrastructure for long-term preservation and reuse of data over a
     decades-long time span.

    Grid-based production system that will support the virtualization of data
     and services across scientific, engineering, document, and media domains.
     Identifying Content and Capturing of Context Demonstrate Distributed
     Ingestion



07.11.2008
First Investigations for
    Embedding Legacy Environments and
   Application-Domain oriented Use Cases
            into a Grid-Based Preservation
                              Infrastructure
Towards SHAMAN’s Framework Infrastructure and its Reference Architecture
ISP 1 Scenario – Use Cases
    Information Integration
            Mediated search within distributed repositories
            Transparent (read) access to legacy systems
            How to find information on all integrated systems ?
    Distributed Ingestion
            Local ingest processes are registered for updating federated metadata catalogue/index
            How to cover local and global data ingestion, such that information can still be found ?
    Managing Distributed Collections
            Implementation of replication mechanisms
            User requirements mediated to underlying storage infrastructure
            How to enable data management over legacy systems?




07.11.2008
Challenges of Memory Institutions for SHAMAN within ISP1
Embedding legacy environments into a grid-based preservation infrastructure


Types of legacy systems:           Requirements:              Types of technology
     Data Grids                      Integrity                 Data Grid: iRODS/SRB
     Institutional Repositories      Authenticity              DSpace
     Archival Systems                Search&Browse             Fedora
     Access Systems                  Interpretability          KOPAL
     Digital Libraries               Virtualization            DAFFODIL




    07.11.2008
Usecase 1: Information Integration
Search & Browse in distributed heterogeneous resources

    Problem
            Different access points to all resources
            Possibly different user interfaces and
            different query forms
            Heterogeneous metadata standards


    Solution
            One access point
            Central user interface & query form
            Transparent access to all legacy systems



07.11.2008
Information Integration of Legacy Systems (I)
    Search and browse in heterogeneous environments


                             DAFFODIL
                            User Interface


                       iRODs Search & Browse
                              Service


                      iRODs         iRODS         iRODS
                      Wrapper       Wrapper       Wrapper


                    Knowledge
                      Base           DSpac            Data
      iRODs
                                       e              base
07.11.2008
                       Kopal
Information Integration of Legacy Systems (II)
Search and Browse in heterogeneous environments

                           DAFFODIL
                          User Interface


                        Search, Browse &
                        Integration service



    Wrapper        Wrapper        Wrapper         Wrapper


  Knowledge
    Base
                                   DSpac           Data
                    iRODs
                                     e             base
      Kopal
    07.11.2008
Usecase 2: Distributed Ingestion
Ingestion in distributed heterogeneous resources

    How to cover local and global data ingestion, such that information
     can still be found ?

    Local ingestion:
            Notification push/pull
            Double ingestion (full object)
            Only metadata ingestion




07.11.2008
Distributed Ingestion
    Parallel storage, index only, full object store




07.11.2008
Resulting Technical Challenges of
Managing Distributed Collections
    Management of distributed collections in grid environment with all legacy systems,
     based on policies.


    Replication of information in world wide distributed data and storage grids to
     prevent distruction, e.g., in case of disasters

    UC1 & UC2: Wrapper & services need only be aware of local environement

    Here: New mediator level, aware of all repositories and their current status!




07.11.2008
Managing Distributed Collections
Replicate stored objects according to user requirements

                                DAFFODIL
                           Management Interface


                                Policy Service
                                e.g. replication


              Service    Service         Service          Service
              Wrapper    Wrapper         Wrapper          Wrapper



                                          DSpac            Data
              Kopal       iRODs
                                            e              base

 07.11.2008
Constructing SHAMAN‘s Service-Oriented DP Reference Architecture

                 Communication Protocols




                ISP 1                       ISP 2      ISP 3
07.11.2008
Fine.
Thank you very much for your attention




07.11.2008
SHAMAN




                                        SHAMAN




Welcome to the future. Welcome to SHAMAN.
             http://www.shaman-ip.eu/

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Shaman Project Hemmje

  • 2. SHAMAN will provide a next-generation Digital Preservation Framework. It develops exemplary Application Prototypes to investigate advantages and impacts of integrating SHAMAN’s New DP Component Technologies as well as legacy into New Applicagtion Solutions along SHAMAN’s Reference Architecture that extends OAIS. Validation of the SHAMAN framework viability will be focused in three Application Trial Domains: scientific publishing in libraries and documents in governmental archives digital objects used in industrial design and engineering processes data resources used in e-Science applications
  • 3. SHAMAN’s PCAs supporting Interoperability PCA PCA NAME PCA COORDINATION Distributed Resource Management Infrastructure 1 Jose Borbinha (INESC-ID) Framework and Gridbased Resource Integration Contextual and Multivalent Archival and 2 Matthias Hemmje (Univ. of Hagen) Preservation Processes Semantic, Constraint-based Collection Management 3 Jean-Pierre Chanod (XEROX RCE) Systems 4 Managing Future Requirements Adil Hasan (Univ. of Liverpool)
  • 4. SHAMAN’s WPs and PCAs supporting Component R&D WP 1 Requirements Analysis and Identification of User Perla Innocenti (HATII, Univ. of Glasgow), Scenarios WP 2 Design and Specification of the SHAMAN Digital Milena Dobreva (U. Strathclyde, Glasgow) Preservation Framework PCA1 WP 5 Martin Mois (Univ. of Hagen) Data Grid Implementation WP 3 Context Capturing, Representation, and Claus-Peter Klas (Univ. of Hagen), Management WP 4 Multivalent Preservation Interface and Media Engines Paul Watry (Univ. of Liverpool), PCA2 WP 6 Harmonisation, Basic Analysis and Ingest Jean-Pierre Chanod (Xerox RCE) WP 7 Advanced Information Extraction and Knowledge Engineering Jean-Pierre Chanod (Xerox RCE) PCA3 WP 8 Managing Shared Collections Jens Ludwig (SUB) WP 9 Interoperability with Future Environments Paul Watry (Univ. of Liverpool) PCA4 WP 10 Maintaining Essential Properties Jana Dittmann (Univ. of Magdeburg)
  • 5. SHAMAN’s ISPs – Supporting Cohesion, Integration, Evaluation, and Demonstration WP 11 Document Production, Archival, Access and Reuse in the Context of Memory Institutions for Alfred Krahnstedt (DNB) ISP1 Scientific and Governmental Collections WP 12 Simple and Connected Object Production, Archival and Reuse in the Andreas Hundsdörfer (InConTec) ISP2 Industrial Design and Engineering Domain WP 13 eScience Data-Acquisition and Harmonisation Testbed Jose Borbinha (INESC/ID) ISP3
  • 6. SHAMAN’s Integration & Demonstration Subprojects (ISPs)  Foster Systematic Evolution of Project Results…  ISP 1 – Document Production, Archival, Access and Reuse in the Context of Memory Institutions for Scientific and Governmental Collections  ISP 2 – Simple and Connected Object Production, Archival and Reuse in the Industrial Design and Engineering Domain  ISP 3 – eScience Data-Acquisition and Harmonisation Testbed  Horizontal Integration of RTD Contributions 07.11.2008
  • 7. Fine, that is the SHAMAN Project structure … but how will the project work ?
  • 8. Strategic R&D Impact Steering: Early Focus on Impact Drivers
  • 9. Tactical R&D WP Steering (I): Early Operational Consequences for Requirements Analysis in WP1
  • 10. Tactical R&D WP Steering (II): Early Operational Consequences for the Reference Architecture in WP2
  • 11. SHAMAN’s legacy in ISP-1 (I): KOPAL (DNB, SUB)
  • 12. SHAMAN’s legacy in ISP-1 (II): KOLIBRI (DNB, SUB)
  • 13. SHAMAN’s legacy in ISP-1 (III): DIAS (IBM) Query Results Permanent Access Toolbox Preservation Planning SIP Preservation Preservation DIP Processor Manager Metadata SIP* Query DIP*** METS Data METS Data Ingest Access Data KB Management KB MPEG-21 Standard Custom MPEG-21 Metadata AIP** AIP Query Archival Storage Administration Monitoring & Logging BusinessObjects * = SIP: Submission Information Package *** = DIP: Dissemination Information Package ** = AIP: Archival Information Package
  • 14. SHAMAN’s requirements analysis in ISP-1 (IV): Scientific Publication P&R Context Creation Review  Scientific congress publication Production process can make available Publication rich set of information to the Acquisition/ Ingest reuse context Scientific  Scientific community web Information and Archival/ Preservation Publication publishing and DL application Process Distribution/ Access CO CONGRESS ONLINE ® can be extended to capture Interpretation context data beyond the Reuse Reflection immediate requirements of scientific event organization Interlinking
  • 15. Usage Scenario in ISP-2 (I): D&E Scenario and the OAIS Reference Model Design & Engineering P&R Context Multivalent approaches Providing ingestion and access in preserving CAD models distributed heterogeneous • migration industrial engineering szenarios • emulation with collaboration support Base diagram from: Consultative Comitee for Space Data Systems (2002): Reference Model for an Open Archival Information System (OAIS); CCSDS 650.0-B-1; BLUE BOOK
  • 16. ISP-2 (II): R&D Dimensions of the Engineering Scenario Discover Search Collate Interpret Re-present CAD/CAE Data Collaboration
  • 17. Basic Research Challenges in SHAMAN  Theory of Preservation: that may be used to store and access potentially any type of data, based on the integration of digital library, persistent archive, and data management technologies.  Infrastructure for long-term preservation and reuse of data over a decades-long time span.  Grid-based production system that will support the virtualization of data and services across scientific, engineering, document, and media domains. Identifying Content and Capturing of Context Demonstrate Distributed Ingestion 07.11.2008
  • 18. First Investigations for Embedding Legacy Environments and Application-Domain oriented Use Cases into a Grid-Based Preservation Infrastructure Towards SHAMAN’s Framework Infrastructure and its Reference Architecture
  • 19. ISP 1 Scenario – Use Cases  Information Integration  Mediated search within distributed repositories  Transparent (read) access to legacy systems  How to find information on all integrated systems ?  Distributed Ingestion  Local ingest processes are registered for updating federated metadata catalogue/index  How to cover local and global data ingestion, such that information can still be found ?  Managing Distributed Collections  Implementation of replication mechanisms  User requirements mediated to underlying storage infrastructure  How to enable data management over legacy systems? 07.11.2008
  • 20. Challenges of Memory Institutions for SHAMAN within ISP1 Embedding legacy environments into a grid-based preservation infrastructure Types of legacy systems: Requirements: Types of technology  Data Grids  Integrity  Data Grid: iRODS/SRB  Institutional Repositories  Authenticity  DSpace  Archival Systems  Search&Browse  Fedora  Access Systems  Interpretability  KOPAL  Digital Libraries  Virtualization  DAFFODIL 07.11.2008
  • 21. Usecase 1: Information Integration Search & Browse in distributed heterogeneous resources  Problem  Different access points to all resources  Possibly different user interfaces and  different query forms  Heterogeneous metadata standards  Solution  One access point  Central user interface & query form  Transparent access to all legacy systems 07.11.2008
  • 22. Information Integration of Legacy Systems (I) Search and browse in heterogeneous environments DAFFODIL User Interface iRODs Search & Browse Service iRODs iRODS iRODS Wrapper Wrapper Wrapper Knowledge Base DSpac Data iRODs e base 07.11.2008 Kopal
  • 23. Information Integration of Legacy Systems (II) Search and Browse in heterogeneous environments DAFFODIL User Interface Search, Browse & Integration service Wrapper Wrapper Wrapper Wrapper Knowledge Base DSpac Data iRODs e base Kopal 07.11.2008
  • 24. Usecase 2: Distributed Ingestion Ingestion in distributed heterogeneous resources  How to cover local and global data ingestion, such that information can still be found ?  Local ingestion:  Notification push/pull  Double ingestion (full object)  Only metadata ingestion 07.11.2008
  • 25. Distributed Ingestion Parallel storage, index only, full object store 07.11.2008
  • 26. Resulting Technical Challenges of Managing Distributed Collections  Management of distributed collections in grid environment with all legacy systems, based on policies.  Replication of information in world wide distributed data and storage grids to prevent distruction, e.g., in case of disasters  UC1 & UC2: Wrapper & services need only be aware of local environement  Here: New mediator level, aware of all repositories and their current status! 07.11.2008
  • 27. Managing Distributed Collections Replicate stored objects according to user requirements DAFFODIL Management Interface Policy Service e.g. replication Service Service Service Service Wrapper Wrapper Wrapper Wrapper DSpac Data Kopal iRODs e base 07.11.2008
  • 28. Constructing SHAMAN‘s Service-Oriented DP Reference Architecture Communication Protocols ISP 1 ISP 2 ISP 3 07.11.2008
  • 29. Fine. Thank you very much for your attention 07.11.2008
  • 30. SHAMAN SHAMAN Welcome to the future. Welcome to SHAMAN. http://www.shaman-ip.eu/