Your SlideShare is downloading. ×
  • Like
EDF2014: Nikolaos Loutas, Manager at PwC Belgium, Business Models for Linked Government Data: What lies beneath?
Upcoming SlideShare
Loading in...5

Thanks for flagging this SlideShare!

Oops! An error has occurred.


Now you can save presentations on your phone or tablet

Available for both IPhone and Android

Text the download link to your phone

Standard text messaging rates apply

EDF2014: Nikolaos Loutas, Manager at PwC Belgium, Business Models for Linked Government Data: What lies beneath?


Selected Talk by Nikolaos Loutas, Manager at PwC Belgium at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Business Models for Linked Government Data: What lies beneath?

Selected Talk by Nikolaos Loutas, Manager at PwC Belgium at the European Data Forum 2014, 19 March 2014 in Athens, Greece: Business Models for Linked Government Data: What lies beneath?

Published in Technology
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Be the first to comment
    Be the first to like this
No Downloads


Total Views
On SlideShare
From Embeds
Number of Embeds



Embeds 0

No embeds

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

    No notes for slide


  • 1. Business models for Linked Government Data: What lies beneath? 1
  • 2. About this work… • A study delivered under Action 1.1 on Semantic Interoperability of the ISA Programme of the European Commission • Delivered by o Phil Archer, W3C o Makx Dekkers o Stijn Goedertier & Nikolaos Loutas, PwC EU Services • Download the full report from: o SEMANTIC INTEROPERABILITY COMMUNITY 2
  • 3. Outline • The LOGD ecosystem 1. The business need • Detailed analysis of case studies using the Business Model Canvas TM 2. The methodology • What value does LOGD bring to businesses, citizens, and public administrations? • What does it cost to provide LOGD services? • Who pays for the provisioning of LOGD? • What are enablers and barriers with regard to the value creation of LOGD? 3. Our main findings 3
  • 4. The business need …the LOGD ecosystem The key stakeholders: • Data providers • Data consumers • Data brokers • Regulatory entities Li Ding, Vassilios Peristeras, Michael Hausenblas: Linked Open Government Data [Guest editors' introduction]. IEEE Intelligent Systems 27(3): 11-15 (2012) Roadmap of linked open government data from our editorial in IEEE IS [1]. 4
  • 5. The methodology …the Business Model Canvas Key Partnershi ps Key Activities Value Propositio ns Customer Segments Cost Structure Revenue Systems Key Resources Channels All credits to 5
  • 6. The methodology …the case studies 32 11 • AT: Renewable Energy and Energy Efficiency Partnership; • DE: German National Library; • EU: Europeana; • EU: European Commission Directorate-General Health and Consumers; • EU: European Environment Agency; • EU: Publications Office of the European Union; • IT: Agenzia per l'Italia Digitale; • UK: BBC; • UK: Companies House; • UK: Department of Environment, Food and Rural Affairs; • UK: National Archives; • UK: OpenCorporates; • UK: Ordnance Survey; • Food and Agriculture Organization of the United Nations. Identified LOGD pilots Cases selected & interviewed 6
  • 7. Our findings …value proposition • Flexible data integration: LOGD facilitates data integration and enables the interconnection of previously disparate government datasets. • Increase in data quality: The increased (re)use of LOGD triggers a growing demand to improve data quality. Through crowd-sourcing and self-service mechanisms, errors are progressively corrected. • New services: The availability of LOGD gives rise to new services offered by the public and/or private sector. • Cost reduction: The reuse of LOGD in e-Government applications leads to considerable cost reductions. 7
  • 8. Our findings …key resources • LOGD is applied most successfully in reference data. • URI design policies are generally in place, while persistence is not often made explicit. • Many organisations cite a lack of tools that meet their specific need in their specific context. • Skill and competencies are mostly acquired in-house with some help from external consultants. The European Environment Agency has a URI policy based on Cool URIs. 8
  • 9. Our findings …key partners & customer segments • Most providers apply LOGD in the context of existing peer networks of government and non-government organisations. • There is little use of LOGD outside of those networks or by businesses. The key partners of the UK National Archives are the UK Parliament and the Publications Office of the EU. The most prevalent use in the case of the UK National Archives is internal reuse. 9
  • 10. Our findings …key activities & customer relationships • Providers consider the development and maintenance of LOGD services as part of their normal system maintenance and operational activities. • Only few invest in promotional activities, such as branding or advertisement of LOGD services. • There is little user support. • Feedback is typically through informal communications as part of institutional collaborations. The German National Library is reaching out to reusers of its Linked Data via presentations, its web page, articles in journals, participation in book fairs, and library- and information-related fairs. 10
  • 11. Our findings …channels • Distribution channels include direct URI resolution and SPARQL endpoints. • Bulk downloads are almost always offered. • Proprietary apps and Web applications are less common. The experimental SPARQL endpoint of Europeana is availabe at: The SPARQL endpoint of EU Open Data portal, managed by the Publications Office, is available at: https://open- 11
  • 12. Our findings …cost structure • Many providers consider LOGD activities as part of their core business; • No separate cost structure of the LOGD activities is available. • In case figures in terms of finances or staff resources were mentioned in the case studies, these spanned a wide range depending on the approach taken. It took the UK companies House about 2 person-months to develop its Linked Data service, while the Linked Data infrastructure of the FAO costed approximately EUR 100k. 12
  • 13. Our findings …revenue streams • The predominant revenue model is public funding, as part of the normal budgets. • The data is provided free of charge. • Licences are either open or not explicitly defined. Linked Data provided by the BBC are available for non- commercial use only. Linked Data provided by the UK Companies House are available under the UK Open Government Licence. 13
  • 14. Conclusions …LOGD enablers • Efficiency gains in data integration – the network effect. • Forward-looking strategies. • Increased linking and integrated services. • Ease of model updates. • Ease of navigation. • Open licensing and free access. • Enthusiasm from ‘champions’. • Emerging best practice guidance. 14
  • 15. Conclusions …LOGD roadblocks • Necessary investments. • Lack of necessary competencies. • Perceived lack of tools. • Lack of service level guarantees. • Missing, restrictive, or incompatible licences. • Surfeit of standard vocabularies. • The inertia of the status quo. 15
  • 16. Conclusions …LOGD outlook • LOGD is becoming increasingly adopted, particularly important in the provision and management of reference data. • It is used to increase efficiency of internal data integration, or to support data exchange in existing collaborations. • Providers will have to develop a clear view of their customers, as value lies in reuse. 16
  • 17. Your questions Thank you! 17
  • 18. Join SEMIC group on LinkedIn Follow @SEMICeu on Twitter Join SEMIC community on Joinup Project Officer Contractors Get involvedVisit our initiatives ADMS. SW CORE VOCABULARY PUBLIC SERVICE ISA Programme Action 1.1 – Semantic Interoperability 18
  • 19. SEMIC 2014 – Athens, 9 April 19