Contents
     Introduction
     AS IS analysis
     TO BE Scenarios
     • Medium-term scenario
     • Long-term scenario
     Maturity assessment 
     Roadmap toward a ESS LOD ecosystem 
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     Main objective of this gap analysis
                                           Assess the maturity 
                                           of the NSIs against 
                                           the vision painted in 
                                           the joint LOD 
                                           strategy at ESS level
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         How have we assessed the gap?
         Completing an AS IS analysis by:
         •    Documenting LOD initiatives and activities in the ESS, focusing on what 
              pioneering NSIs are doing with LOD, and analysing it based on the 
              business model canvas; 
         •    Identifying the main aspects to make a statistical LOD project successful 
              according to the interviewed NSIs, e.g. enablers, risks, challenges; 
         Defining TO BE scenarios
         •   Based on the prioritisation of LOD activities defined in the joint LOD 
             strategy. This has led to two TO BE scenarios: a medium-term and a long-
             term one. 
         Performing a maturity pre-assessment of the NSIs by:
         •    Creating an assessment tool for evaluating the current state of the NSIs 
              with regards to the two proposed scenarios; 
         •                                                         The pioneer NSIs working on LOD, who have been interviewed in this study:
              Carrying out an assessment for the interviewed NSIs.
                                                                    Alain         Darren         Eoin          Monica         Franck 
                                                                    Nadeau        Barnes         McCuirc       Scannapieco    Cotton 
                                                                    (FSO,         (ONS, UK)      (CSO,         (ISTAT,        (INSEE, 
                                                                    Switzerland)                 Ireland)      Italy)         France) 
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       AS IS Analysis 
       Value propositions
           Flexible data integration                   Creation of partnerships
           within NSIs and with others                 Integration of data requires 
           LOD facilitates statistical data            collaboration on LOD initiatives and 
           integration and enables the                 creation of partnerships between NSIs 
           interconnection of previously               as well as with research and industry. 
           disparate datasets of different 
           formats and type, housed in different       Innovation and development of 
           data warehouses, data bases, data           new services
           stores and files within and across 
           NSIs.                                       Availability of LOD and its easy 
                                                       integration with other internal or 
           Promoting data                              external data (both statistical and from 
           standardisation                             other data domains) can give rise to 
           LOD allows and encourages NSIs to           new services offered by the NSIs or 
           enhance the statistical data and            other organisations. 
           metadata standardisation process.           Increase in data quality
           LOD in statistics heavily capitalises       The increased use of LOD triggers 
           on and promotes standards, such as          demands to improve data quality. 
           HTTP URIs, RDF, SDMX and                    Through crowd-sourcing, feedback 
           StatDCAT-AP.                                and self-service mechanisms, errors 
                                                       can be progressively corrected. 
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      AS IS Analysis
      Overview of use cases from the ESS
                                      Interconnect official      Publish official statistics 
       Interconnect datasets        statistics datasets from       in machine-readable, 
            within a NSI             different NSIs and/or           linkable formats
                                            Eurostat
     • LOD for territorial bases   • Scottish Index of          • Providing catalogues of 
       (ISTAT, Italy)               Multiple Deprivation          linked metadata of open 
     • Selecting the best place     (Scottish Government)         datasets (EU Open Data 
       to live or to invest        • Relate/correlate different   Portal and European Data 
       (Maynooth University)        sources which provide         Portal)
     • LOD for fact-checking        information about a         • ModernStats - Linked 
     • Finding data for a           specific domain               Open Metadata (UNECE)
       postcode  (ONS               (Evangelos Kalampokis,      • Integrated access to EU 
       Geography)                   UOM)                          and BEA data (Eurostat 
     • Accessing and querying                                     and BEA)
       census data (CSO, Ireland)                               • Digital Agenda 
     • Evolution of Swiss       1                            2 Scoreboard (DG              3
       communes (FSO,                                             CONNECT)
       Switzerland)
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