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Steven Ramage: UK SDI: Lifecycle
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Steven Ramage: UK SDI: Lifecycle

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    Steven Ramage: UK SDI: Lifecycle Steven Ramage: UK SDI: Lifecycle Presentation Transcript

      • UK SDI: Lifecycle
      • and Supply Chain Considerations
      • Scene setting
      • Define lifecycle and supply chain
      • Put in context of UK SDI
      • Introduce INSPIRE aspects
      • Discuss UK government model
      • UK Location Programme considerations
      • Summary and close
      Presentation overview
    • Data sharing is growing in importance and profile
      • The Audit Commission reinforces this view:
      • “ Councils recognise that information they already hold is often unexploited. They accept that further service improvements and savings could be made if existing data were analysed more effectively to inform decisions”.
      Data sharing
      • EuroGeographics describes what we in the industry are fully aware of and refers to the need for fully integrated, high quality and sustainably financed geographical information to create certainty in investment. Value of Geographic Information ( http://www. youtube .com/watch? gl =GB&hl=en-GB&v= Xr _sx0iHb1w )
      Data sharing
      • Geospatial data supply chains
      • Ongoing data maintenance, i.e. managing change
      • Incorporates the need for data sharing
      Information Management
      • Covered in UK Location Strategy (paragraph 28)
        • We know what data we have, and avoid duplicating it
        • We use common reference data, so we know we’re talking about same place
        • We can share location-related information easily through a common infrastructure of standards, technology and business
        • We have strong leadership and governance to drive through change
      Information Management the Location Strategy for the United Kingdom Place matters:
      • Build collaboration partnerships
      • Create data production and ownership matrix
      • Conflate or aggregate data from single function organisations for INSPIRE
      • No individual organisation has all the data necessary to fulfill the INSPIRE reporting requirements, must pull together
      INSPIRE as catalyst to pull together UK SDI the Location Strategy for the United Kingdom Place matters:
      • Need to meet INSPIRE legislation requirements
      • Focus on Annex I Data Specifications per theme, e.g. cadastral parcels, addresses and transport networks
      • Work across multiple themes, e.g. protected sites and hydrography
      First steps: INSPIRE data transformation the Location Strategy for the United Kingdom Place matters:
      • Addressing most tested area
      • Significant UK input
      • Mainly Transformation testing – from native schema to INSPIRE schema
      • Little Applications testing
      • Generally able to transform data into INSPIRE data specifications (at least partially)
      • Few benefits identified
      • More about proving testing methodology than testing specifications themselves.
      AGI report from INSPIRE Comments Resolution Workshop the Location Strategy for the United Kingdom Place matters:
      • Data providers or legally mandated organisations (LMO) have responsibility to provide data in line with INSPIRE schema
      • How this is achieved is responsibility of LMO
      • Large list of LMOs for UK and increasing overlaps - Spatial Data Interest Communities
      • Underpins how dispersed geospatial data responsibilities are in the UK
      • UK supply chain processes for INSPIRE unlikely to comply with ISO19113 completeness and consistency measures.
      INSPIRE and UK SDI
    • UK LMOs as at 2007 (source: AGI website) Highways Agency European Centre for Medium-Range Weather Forecasts (ECMWF) English Heritage Defence Estates Met Office International Alliance for Interoperability Ordnance Survey of Northern Ireland [now LPS] Defence Intelligence Joint Environment (DI JE) [Ministry of Defence] Office of the Deputy Prime Minister [now Dept of Communities & Local Gov] Scottish Executive British Atmospheric Data Centre (NCAS/BADC) [Part of NERC] UK Hydrographic Office Department for Environment, Food and Rural Affairs Environment Agency for England and Wales Land Registry for England and Wales Ordnance Survey Bureau Veritas [contact for National Air Quality Monitoring] British Geological Survey [Part of NERC]
      • LMOs need a framework for with business as usual
      • No changes to source schema or data collection processes to achieve INSPIRE compliance
      • Source data must be reused
      • Provide compliant data now
      • Work on business cases for changing data modeling or data management approaches and develop as appropriate
      Transformation = Information Management
    • Candidate framework for INSPIRE transformation and quality control
    • Candidate framework for INSPIRE transformation and quality control
      • Designed to help users start with INSPIRE now
      • Work with data ‘as is’, i.e. unchanged
      • Do impact assessments and readiness reviews
      • Addresses the data consistency issue and feeds back into your data improvement cycle
      • Let’s you use existing tools for data loading and translation, e.g. Snowflake or Safe Software
      • Use 1Spatial’s Radius Studio TM for data transformation, data consistency and completeness
    • Candidate Framework – Tried and Tested TM (1)
      • Example outside UK with IGN Belgium and TN (transportation networks)
      • Carried out as part of the ESDIN, eContentplus programme managed by EuroGeographics
      • INSPIRE Data Specifications TN theme, Mandatory Requirement 8 (page 25) as:
      • “ In any transport network, Transport Nodes shall be present wherever TransportLinks connect or end.”
      • Logical consistency (more specifically topological consistency) rule or constraint.
    • Candidate Framework – Tried and Tested TM (2)
      • IGN Belgium has no RailwayNode features in their LMO dataset!
      • However, this is mandatory from Requirement 8
      • Enrich the dataset to become compliant
      • Create RailwayNode features and derive them from the RailwayLink objects
      • Associate RailwayNode and RailwayLink features
      • Allows LMO to achieve compliance without changing its own schema and impacting the business functional operations.
    • Candidate Framework – Tried and Tested TM (3)
      • Example with Environment Agency of England and Wales and HY (hydrography)
      • Worked on the Detailed River Network dataset
      • Automatically derived and deployed an implementation model of the draft HY INSPIRE application schema
      • Fulfils the vision of GML 3.2 and INSPIRE for "point and go" applications (point them at the schema and let them run)
      • Defined mappings for existing DRN features and attribute values to the INSPIRE model.
    • Candidate Framework – Tried and Tested TM (4)
      • Transformed original attribute values to equivalent meaning values in INSPIRE,
        • - for example classification of hydro node transforms from code "1" (which describes a hydro source) in EAE&W data to the value "spring" in INSPIRE data
        • - and classification of hydro node transforms from code "3" (which describes a hydro junction) in EAE&W data to the value "bifurcation" OR "confluence" in INSPIRE data, depending on how many rivers are connected to it and how many are flowing in, versus flowing out.
    • Candidate Framework – Tried and Tested TM (5)
      • Higher compliance levels by recognising and re-purposing business knowledge in data
      • Enhanced object associations, to make good use of object characteristics of the INSPIRE models
      • Specification of omissions and commissions. Omissions being data required for INSPIRE, but not maintained by EA (and can't be derived from data that is). Commissions being data that EA maintains, but is more than INSPIRE needs (but may yet be relevant in the context of the UK Location Strategy).
    • Candidate Framework – Tried and Tested TM (6)
      • Defined data conformance rules to describe constraints specified by the INSPIRE schema and data specifications
      • Applied rules to data to measure logical consistency
      • Data quality metrics against INSPIRE specification measures, presented as data improvement reports
      • XML metadata reports that can be appended to dataset metadata for INSPIRE discovery services
      • Generated GML 3.2.1 file, representing the EA DRN data, as translated and transformed from SHP files
      • Demonstrated INSPIRE transformation can be achieved without massive data re-engineering
      • Underlying data can be reviewed offering benefits.
    • UK Government Model
      • Disaggregated
      • Devolved
      • Disenfranchised?
    • UK Location Programme Considerations
      • Consistency issue
      • Collaboration, e.g. Atlantis
      • Ownership and responsibility
      • Motivation for LMOs to transform data
    • Summary and close
      • Review and understand supply chain
      • Will help position your role and responsibilities in terms of UK Plc
      • Data management advantages
        • Measurable business benefits
        • Don’t reengineer data
        • Enhance it!
      • Thank you
      • For more information please contact: [email_address]