21 March 20071 Information and transfer and storage in Operational applications and Long Term Preservation Application (LTPA) Ulf Andersson Archives and.

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Presentation transcript:

21 March Information and transfer and storage in Operational applications and Long Term Preservation Application (LTPA) Ulf Andersson Archives and records management Södertälje Sweden

21 March Traditional appraisal do not meet the reality in contemporary organizations ECM MRPLIMS PLM RM/Archives Traditional archiving structure e.g. EAD One way transfer at decommissioning

21 March Systems replacement and Archiving New systems Existing systems System A System B Restructuring costs Product/Service Based Information Structure Retention Time, Information Value Restructuring costs Preservation environment File storage Delete

21 March Systems replacement and Archiving New systems Existing systems Delete System A System B Selection and restructuring costs Minor restructuring Low restructuring and selection costs ? Delete System E System F Restructuring impossible or dangers for quality X Selection and restructuring costs Delete System C System D Minor restructuring Low restructuring and selection costs Delete Volume problem Portal for archival integration (Archival structure and rules) LTPA-low ambition (Short term low risk for reuse) LTPA

21 March System architecture Portal for archival integration (structure and rules) Business integration layer LTPA-low ambition (Short term low risk for reuse) Applications suitable for storage in archival conditions Applications unsuitable for storage in archival conditions LTPA 1LTPA 2 Ingest Pre- Ingest OAIS related view on information life cycle

21 March Infrastructure; technical and architectural LTPA-low ambition (Short term low risk for reuse) 1.ER/ES compliant (full version control) 2.Storage safe for spontaneous disk corruption 3.Portal integrated 4.Restricted use since no product separation Business integration layer Portal for archival integration 1.Archival schema 2.Product structure (Part or full) 3.ER/ES compliant (full version control data and structure) 4.LTPA integrated 5.Connected with business integration layer 6.SLA (SIP design) 7.Search engine 8.Retrieval 9.Baseline management internal LTPAs Ingest 1.Product separated storage 2.ER/ES compliant (full version control data and structure) 3.Storage safe for spontaneous disk corruption 4.Portal integrated 5.Integrated with business integration layer Context master + information storage LTPA compliant: 1.Product separated storage structure 2.Electronic record and electronic signature (ER/ES) compliant (full version control of structure and object) 3.Storage safe for spontaneous disk corruption 4.Connected with business integration layer Internal applications suitable for storage in LTPA compliant conditions Pre- Ingest Internal applications unsuitable for storage in LTPA compliant conditions

21 March Product life cycle driven approach: Base-lining and archiving Major business process System 2System 3System 4 System 1 Context master Baseline Records in accordance to a well defined baseline from all applications Baseline driven transfer Organized within the product structure Product structure Context in accordance to baseline

21 March Base-lining and archiving Multiple Context masters Major business process System 3System 4 System 2 Context master LTPA approved System 1 Context master LTPA approved Baseline* Records in accordance to a well defined baseline from all applications Product structure Organized within the product structure Context in accordance to baseline

21 March Archiving and continues knowledge growth Major business process System 2System 3System 4 System 1 Context master Context update Context growth Product structure Organized within the product structure Random transfer (Home node in product structure controlled by templates for product structure and SIP)

21 March Transfer of structured data (STEP standard) System A Data model Parameterisation Data P23 Information model Application Protocol System B Data model Parameterisation Data