SlideShare a Scribd company logo
1 of 11
The Danish Key Data
Programme

16th march 2012

Cathrine Lippert,
calip@digst.dk
The Past – a few highlights

• Long history of key registries mandated by law with high level
  of correctness and completeness
• Strong collaboration on digitisation between state, regional and
  municipality levels since 2001
• Cross-government eGov strategies since 2001
• Data reuse previously high on the agenda; however, put on the
  backburner in later years
• eGovernment-rankings used to place Denmark in Top 3, but
  position seems to be sliding back
The Present - key data challenges in Denmark

• The key registries developed over 30 years
• Overlapping and non-authoritative registries developed
• Cross-government and cross-sector processes impeded by lack
  of coherence and gaps in key data
• Insufficient quality in some key data
• Insufficient technical availability of some key data
• Charging and licensing schemes inhibit full and efficient reuse
  of some key data
• Limited cross-government governance of key data
• Coherent, complete and readily available key data is a
  requirement for an efficient and fully digitised public sector
Increase in use of data – increasing demands




                                                Use of National Survey & Cadastre's Map Service

                   Million
           1.400




                                                                                                     1159
           1.200
           1.000
Requests




                                                                                            663
            800
            600




                                                                                  368
                                                                         245
            400
                                                          106



            200
                                    44




                                            64
                       23




              0
                      05       06          07            08              09      10        11       12
                    20       20          20            20              20      20        20       20
                                                                Year
Current models for access to key data


Model A: Public Sector Institutions    Height Model, Census (persons),
and Private Sector Companies buys      Company Data, Accounting Data
access


Model B: Free Access for Public        Topographic Data, Cadastre,
Sector Institutions - Private Sector   Owner Registration, Business
Companies buys access                  Registry, Income Data


Model C: Free Access for Public        Administrative Geographic
Institutions and for Private Sector    Subdivision, Buildings and
Companies                              Dwellings
Key Data – part of the new eGov Strategy




    http://bit.ly/eGov2012
Right Now - defining the ’Key Data Programme’

•   Cross-government ‘Key Data Programme’ established
•   Programme is mandated to prepare series of initiatives for June 2012:

     • Improve quality and coherence of all key data (i.e. remove redundant
       data and registries and improve workflows across public sector)

     • Designate key data as ‘Authoritative Data’

     • Improve technical availability of key data

     • Improve accessibility by adjusting charging and licensing

     • Propose governance model for key data

     • All proposals must be supported by positive business case
Outline of key data proposals (‘packages’)

1. Effective property management and reuse of property data
2. Common addresses, place names and administrative
   geographic subdivision
3. Common basis for climate adaptation and water management
4. Free and efficient access to geographic data
5. Common key registration of persons
6. Effective reuse and sharing of corporate data
7. Common infrastructure for key data distribution
Efficiency gains from the ’Key Data Programme’




More efficient distribution of key data




More efficient production of key data




More efficient reuse of key data
Business Cases and Financing

•   Business Case challenges

     • The Good: One entity makes investment, same entity reaps benefits

     • The Bad: One entity makes investment, other entities reap benefits

     • The Ugly: Several entities make investments, several other entities
       reap benefits


•   Financing challenges

     • Redistributing gains in the public sector from reduced cost
       (administrative, ICT, charges)

     • Redistributing gains in the public sector from more efficient processes
Our question to you …




How can we measure the effect of our Key Data Programme?


• How to establish a baseline, i.e. the ’before’ scenario?
• How to measure effect of improvements, i.e. the ’after’ scenario?

More Related Content

Similar to Track D Cathrine Lippert - Denmark

Switch And Data Acquistion Overview
Switch And Data Acquistion OverviewSwitch And Data Acquistion Overview
Switch And Data Acquistion Overviewflyingpotato
 
The Mobile Data Challenge (by Economist Intelligence)
The Mobile Data Challenge (by Economist Intelligence)The Mobile Data Challenge (by Economist Intelligence)
The Mobile Data Challenge (by Economist Intelligence)Kirill Smirnov
 
Status of the Chinese Power Electronics Industry 2015 Report by Yole Developp...
Status of the Chinese Power Electronics Industry 2015 Report by Yole Developp...Status of the Chinese Power Electronics Industry 2015 Report by Yole Developp...
Status of the Chinese Power Electronics Industry 2015 Report by Yole Developp...Yole Developpement
 
The LTE business case: survey
The LTE business case: surveyThe LTE business case: survey
The LTE business case: surveyReportLinker.com
 
DIGI – Fundamental Analysis FY14
DIGI – Fundamental Analysis FY14DIGI – Fundamental Analysis FY14
DIGI – Fundamental Analysis FY14lcchong76
 
DCP: Data Center Futures 2010 Japan/ Korea
DCP: Data Center Futures 2010 Japan/ KoreaDCP: Data Center Futures 2010 Japan/ Korea
DCP: Data Center Futures 2010 Japan/ KoreaTim Crawford
 
Data standards in_public_sector
Data standards in_public_sectorData standards in_public_sector
Data standards in_public_sectorChin-Hwee Wong
 
Cloud Service, Proposal to Kumo
Cloud Service, Proposal to KumoCloud Service, Proposal to Kumo
Cloud Service, Proposal to KumoJoonhee Lee
 
Phil Mechanisms for e-Gov, ICT Devt, Innovation and Entrepreneurship
Phil Mechanisms for e-Gov, ICT Devt, Innovation and EntrepreneurshipPhil Mechanisms for e-Gov, ICT Devt, Innovation and Entrepreneurship
Phil Mechanisms for e-Gov, ICT Devt, Innovation and EntrepreneurshipAlejandro Melchor III
 
DMG Federal and Kognitio Easy Real-Time BI from a FISMA Secure Cloud
DMG Federal and Kognitio Easy Real-Time BI from a FISMA Secure CloudDMG Federal and Kognitio Easy Real-Time BI from a FISMA Secure Cloud
DMG Federal and Kognitio Easy Real-Time BI from a FISMA Secure CloudKognitio
 
Content Marketing Association - tablet consumption
Content Marketing Association - tablet consumptionContent Marketing Association - tablet consumption
Content Marketing Association - tablet consumptionCommunicate Magazine
 
Frostsullivanindonesiaict2outlook2012thebigleapahead 120216211906-phpapp02
Frostsullivanindonesiaict2outlook2012thebigleapahead 120216211906-phpapp02Frostsullivanindonesiaict2outlook2012thebigleapahead 120216211906-phpapp02
Frostsullivanindonesiaict2outlook2012thebigleapahead 120216211906-phpapp02Faizal Adiputra
 
HICSS 2012 eHawaii.gov : eGovernment in Practice
HICSS 2012 eHawaii.gov : eGovernment in PracticeHICSS 2012 eHawaii.gov : eGovernment in Practice
HICSS 2012 eHawaii.gov : eGovernment in PracticeRussell Castagnaro
 
Lga local transparency code roadshow jan 2014
Lga local transparency code roadshow  jan 2014Lga local transparency code roadshow  jan 2014
Lga local transparency code roadshow jan 2014Gesche Schmid
 
Data Standardisation in the Public Sector
Data Standardisation in the Public  SectorData Standardisation in the Public  Sector
Data Standardisation in the Public SectorDatabase Answers Ltd.
 
Citadel bari varam_12-04-2019
Citadel bari varam_12-04-2019Citadel bari varam_12-04-2019
Citadel bari varam_12-04-2019Citadelh2020
 

Similar to Track D Cathrine Lippert - Denmark (20)

Switch And Data Acquistion Overview
Switch And Data Acquistion OverviewSwitch And Data Acquistion Overview
Switch And Data Acquistion Overview
 
The Mobile Data Challenge (by Economist Intelligence)
The Mobile Data Challenge (by Economist Intelligence)The Mobile Data Challenge (by Economist Intelligence)
The Mobile Data Challenge (by Economist Intelligence)
 
Status of the Chinese Power Electronics Industry 2015 Report by Yole Developp...
Status of the Chinese Power Electronics Industry 2015 Report by Yole Developp...Status of the Chinese Power Electronics Industry 2015 Report by Yole Developp...
Status of the Chinese Power Electronics Industry 2015 Report by Yole Developp...
 
The LTE business case: survey
The LTE business case: surveyThe LTE business case: survey
The LTE business case: survey
 
Dw Kickoff Meeting V4
Dw Kickoff Meeting V4Dw Kickoff Meeting V4
Dw Kickoff Meeting V4
 
DIGI – Fundamental Analysis FY14
DIGI – Fundamental Analysis FY14DIGI – Fundamental Analysis FY14
DIGI – Fundamental Analysis FY14
 
DCP: Data Center Futures 2010 Japan/ Korea
DCP: Data Center Futures 2010 Japan/ KoreaDCP: Data Center Futures 2010 Japan/ Korea
DCP: Data Center Futures 2010 Japan/ Korea
 
Data Standards In Public Sector[1]
Data Standards In Public Sector[1]Data Standards In Public Sector[1]
Data Standards In Public Sector[1]
 
Data standards in_public_sector
Data standards in_public_sectorData standards in_public_sector
Data standards in_public_sector
 
Cloud Service, Proposal to Kumo
Cloud Service, Proposal to KumoCloud Service, Proposal to Kumo
Cloud Service, Proposal to Kumo
 
Phil Mechanisms for e-Gov, ICT Devt, Innovation and Entrepreneurship
Phil Mechanisms for e-Gov, ICT Devt, Innovation and EntrepreneurshipPhil Mechanisms for e-Gov, ICT Devt, Innovation and Entrepreneurship
Phil Mechanisms for e-Gov, ICT Devt, Innovation and Entrepreneurship
 
DMG Federal and Kognitio Easy Real-Time BI from a FISMA Secure Cloud
DMG Federal and Kognitio Easy Real-Time BI from a FISMA Secure CloudDMG Federal and Kognitio Easy Real-Time BI from a FISMA Secure Cloud
DMG Federal and Kognitio Easy Real-Time BI from a FISMA Secure Cloud
 
Content Marketing Association - tablet consumption
Content Marketing Association - tablet consumptionContent Marketing Association - tablet consumption
Content Marketing Association - tablet consumption
 
Application Programming interfaces for Governments: why, what and how
Application Programming interfaces for Governments: why, what and howApplication Programming interfaces for Governments: why, what and how
Application Programming interfaces for Governments: why, what and how
 
Frostsullivanindonesiaict2outlook2012thebigleapahead 120216211906-phpapp02
Frostsullivanindonesiaict2outlook2012thebigleapahead 120216211906-phpapp02Frostsullivanindonesiaict2outlook2012thebigleapahead 120216211906-phpapp02
Frostsullivanindonesiaict2outlook2012thebigleapahead 120216211906-phpapp02
 
HICSS 2012 eHawaii.gov : eGovernment in Practice
HICSS 2012 eHawaii.gov : eGovernment in PracticeHICSS 2012 eHawaii.gov : eGovernment in Practice
HICSS 2012 eHawaii.gov : eGovernment in Practice
 
Lga local transparency code roadshow jan 2014
Lga local transparency code roadshow  jan 2014Lga local transparency code roadshow  jan 2014
Lga local transparency code roadshow jan 2014
 
Big data telecom
Big data telecomBig data telecom
Big data telecom
 
Data Standardisation in the Public Sector
Data Standardisation in the Public  SectorData Standardisation in the Public  Sector
Data Standardisation in the Public Sector
 
Citadel bari varam_12-04-2019
Citadel bari varam_12-04-2019Citadel bari varam_12-04-2019
Citadel bari varam_12-04-2019
 

More from ePSI Platform

Christian Laux on Liability
Christian Laux on LiabilityChristian Laux on Liability
Christian Laux on LiabilityePSI Platform
 
Liability for open data
Liability for open dataLiability for open data
Liability for open dataePSI Platform
 
Big Data Session Presentations
Big Data Session PresentationsBig Data Session Presentations
Big Data Session PresentationsePSI Platform
 
Otwarte zabytki epsi
Otwarte zabytki epsiOtwarte zabytki epsi
Otwarte zabytki epsiePSI Platform
 
E psi tomek-zielinski-transportoid-conference-slides
E psi tomek-zielinski-transportoid-conference-slidesE psi tomek-zielinski-transportoid-conference-slides
E psi tomek-zielinski-transportoid-conference-slidesePSI Platform
 
PSI Re-use in Bulgaria
PSI Re-use in BulgariaPSI Re-use in Bulgaria
PSI Re-use in BulgariaePSI Platform
 
Hamburg Transparency Law
Hamburg Transparency LawHamburg Transparency Law
Hamburg Transparency LawePSI Platform
 
Open Data: the state of the European Union
Open Data: the state of the European UnionOpen Data: the state of the European Union
Open Data: the state of the European UnionePSI Platform
 
Psi group scoreboard
Psi group scoreboardPsi group scoreboard
Psi group scoreboardePSI Platform
 
Community Building as Scaffolding for a Working Public Sector
Community Building as Scaffolding for a Working Public SectorCommunity Building as Scaffolding for a Working Public Sector
Community Building as Scaffolding for a Working Public SectorePSI Platform
 
Making Open Data Work for the Public Sector
Making Open Data Work for the Public SectorMaking Open Data Work for the Public Sector
Making Open Data Work for the Public SectorePSI Platform
 
Cleaning up the relationship with our government
Cleaning up the relationship with our governmentCleaning up the relationship with our government
Cleaning up the relationship with our governmentePSI Platform
 
Open Data Opportunities
Open Data OpportunitiesOpen Data Opportunities
Open Data OpportunitiesePSI Platform
 
Creating Impact with Open Data
Creating Impact with Open DataCreating Impact with Open Data
Creating Impact with Open DataePSI Platform
 
Transport Data Is Like .....
Transport Data Is Like .....Transport Data Is Like .....
Transport Data Is Like .....ePSI Platform
 
EU Open Data Strategy
EU Open Data StrategyEU Open Data Strategy
EU Open Data StrategyePSI Platform
 

More from ePSI Platform (20)

Iicensing open data
Iicensing open dataIicensing open data
Iicensing open data
 
Transport Data Byrd
Transport Data ByrdTransport Data Byrd
Transport Data Byrd
 
Christian Laux on Liability
Christian Laux on LiabilityChristian Laux on Liability
Christian Laux on Liability
 
Liability for open data
Liability for open dataLiability for open data
Liability for open data
 
Big Data Session Presentations
Big Data Session PresentationsBig Data Session Presentations
Big Data Session Presentations
 
Sl lgo
Sl lgoSl lgo
Sl lgo
 
Otwarte zabytki epsi
Otwarte zabytki epsiOtwarte zabytki epsi
Otwarte zabytki epsi
 
E psi tomek-zielinski-transportoid-conference-slides
E psi tomek-zielinski-transportoid-conference-slidesE psi tomek-zielinski-transportoid-conference-slides
E psi tomek-zielinski-transportoid-conference-slides
 
Moja polis basic
Moja polis basicMoja polis basic
Moja polis basic
 
PSI Re-use in Bulgaria
PSI Re-use in BulgariaPSI Re-use in Bulgaria
PSI Re-use in Bulgaria
 
Hamburg Transparency Law
Hamburg Transparency LawHamburg Transparency Law
Hamburg Transparency Law
 
Open Data: the state of the European Union
Open Data: the state of the European UnionOpen Data: the state of the European Union
Open Data: the state of the European Union
 
Psi group scoreboard
Psi group scoreboardPsi group scoreboard
Psi group scoreboard
 
Community Building as Scaffolding for a Working Public Sector
Community Building as Scaffolding for a Working Public SectorCommunity Building as Scaffolding for a Working Public Sector
Community Building as Scaffolding for a Working Public Sector
 
Making Open Data Work for the Public Sector
Making Open Data Work for the Public SectorMaking Open Data Work for the Public Sector
Making Open Data Work for the Public Sector
 
Cleaning up the relationship with our government
Cleaning up the relationship with our governmentCleaning up the relationship with our government
Cleaning up the relationship with our government
 
Open Data Opportunities
Open Data OpportunitiesOpen Data Opportunities
Open Data Opportunities
 
Creating Impact with Open Data
Creating Impact with Open DataCreating Impact with Open Data
Creating Impact with Open Data
 
Transport Data Is Like .....
Transport Data Is Like .....Transport Data Is Like .....
Transport Data Is Like .....
 
EU Open Data Strategy
EU Open Data StrategyEU Open Data Strategy
EU Open Data Strategy
 

Recently uploaded

Intro to BCG's Carbon Emissions Benchmark_vF.pdf
Intro to BCG's Carbon Emissions Benchmark_vF.pdfIntro to BCG's Carbon Emissions Benchmark_vF.pdf
Intro to BCG's Carbon Emissions Benchmark_vF.pdfpollardmorgan
 
Buy gmail accounts.pdf Buy Old Gmail Accounts
Buy gmail accounts.pdf Buy Old Gmail AccountsBuy gmail accounts.pdf Buy Old Gmail Accounts
Buy gmail accounts.pdf Buy Old Gmail AccountsBuy Verified Accounts
 
Lowrate Call Girls In Sector 18 Noida ❤️8860477959 Escorts 100% Genuine Servi...
Lowrate Call Girls In Sector 18 Noida ❤️8860477959 Escorts 100% Genuine Servi...Lowrate Call Girls In Sector 18 Noida ❤️8860477959 Escorts 100% Genuine Servi...
Lowrate Call Girls In Sector 18 Noida ❤️8860477959 Escorts 100% Genuine Servi...lizamodels9
 
Case study on tata clothing brand zudio in detail
Case study on tata clothing brand zudio in detailCase study on tata clothing brand zudio in detail
Case study on tata clothing brand zudio in detailAriel592675
 
Contemporary Economic Issues Facing the Filipino Entrepreneur (1).pptx
Contemporary Economic Issues Facing the Filipino Entrepreneur (1).pptxContemporary Economic Issues Facing the Filipino Entrepreneur (1).pptx
Contemporary Economic Issues Facing the Filipino Entrepreneur (1).pptxMarkAnthonyAurellano
 
Youth Involvement in an Innovative Coconut Value Chain by Mwalimu Menza
Youth Involvement in an Innovative Coconut Value Chain by Mwalimu MenzaYouth Involvement in an Innovative Coconut Value Chain by Mwalimu Menza
Youth Involvement in an Innovative Coconut Value Chain by Mwalimu Menzaictsugar
 
Call Girls in DELHI Cantt, ( Call Me )-8377877756-Female Escort- In Delhi / Ncr
Call Girls in DELHI Cantt, ( Call Me )-8377877756-Female Escort- In Delhi / NcrCall Girls in DELHI Cantt, ( Call Me )-8377877756-Female Escort- In Delhi / Ncr
Call Girls in DELHI Cantt, ( Call Me )-8377877756-Female Escort- In Delhi / Ncrdollysharma2066
 
Organizational Structure Running A Successful Business
Organizational Structure Running A Successful BusinessOrganizational Structure Running A Successful Business
Organizational Structure Running A Successful BusinessSeta Wicaksana
 
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...lizamodels9
 
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort ServiceCall US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort Servicecallgirls2057
 
Kenya Coconut Production Presentation by Dr. Lalith Perera
Kenya Coconut Production Presentation by Dr. Lalith PereraKenya Coconut Production Presentation by Dr. Lalith Perera
Kenya Coconut Production Presentation by Dr. Lalith Pereraictsugar
 
Digital Transformation in the PLM domain - distrib.pdf
Digital Transformation in the PLM domain - distrib.pdfDigital Transformation in the PLM domain - distrib.pdf
Digital Transformation in the PLM domain - distrib.pdfJos Voskuil
 
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...lizamodels9
 
/:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In...
/:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In.../:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In...
/:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In...lizamodels9
 
BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,noida100girls
 
Global Scenario On Sustainable and Resilient Coconut Industry by Dr. Jelfina...
Global Scenario On Sustainable  and Resilient Coconut Industry by Dr. Jelfina...Global Scenario On Sustainable  and Resilient Coconut Industry by Dr. Jelfina...
Global Scenario On Sustainable and Resilient Coconut Industry by Dr. Jelfina...ictsugar
 
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCRashishs7044
 
Lean: From Theory to Practice — One City’s (and Library’s) Lean Story… Abridged
Lean: From Theory to Practice — One City’s (and Library’s) Lean Story… AbridgedLean: From Theory to Practice — One City’s (and Library’s) Lean Story… Abridged
Lean: From Theory to Practice — One City’s (and Library’s) Lean Story… AbridgedKaiNexus
 
MAHA Global and IPR: Do Actions Speak Louder Than Words?
MAHA Global and IPR: Do Actions Speak Louder Than Words?MAHA Global and IPR: Do Actions Speak Louder Than Words?
MAHA Global and IPR: Do Actions Speak Louder Than Words?Olivia Kresic
 

Recently uploaded (20)

Intro to BCG's Carbon Emissions Benchmark_vF.pdf
Intro to BCG's Carbon Emissions Benchmark_vF.pdfIntro to BCG's Carbon Emissions Benchmark_vF.pdf
Intro to BCG's Carbon Emissions Benchmark_vF.pdf
 
Buy gmail accounts.pdf Buy Old Gmail Accounts
Buy gmail accounts.pdf Buy Old Gmail AccountsBuy gmail accounts.pdf Buy Old Gmail Accounts
Buy gmail accounts.pdf Buy Old Gmail Accounts
 
Corporate Profile 47Billion Information Technology
Corporate Profile 47Billion Information TechnologyCorporate Profile 47Billion Information Technology
Corporate Profile 47Billion Information Technology
 
Lowrate Call Girls In Sector 18 Noida ❤️8860477959 Escorts 100% Genuine Servi...
Lowrate Call Girls In Sector 18 Noida ❤️8860477959 Escorts 100% Genuine Servi...Lowrate Call Girls In Sector 18 Noida ❤️8860477959 Escorts 100% Genuine Servi...
Lowrate Call Girls In Sector 18 Noida ❤️8860477959 Escorts 100% Genuine Servi...
 
Case study on tata clothing brand zudio in detail
Case study on tata clothing brand zudio in detailCase study on tata clothing brand zudio in detail
Case study on tata clothing brand zudio in detail
 
Contemporary Economic Issues Facing the Filipino Entrepreneur (1).pptx
Contemporary Economic Issues Facing the Filipino Entrepreneur (1).pptxContemporary Economic Issues Facing the Filipino Entrepreneur (1).pptx
Contemporary Economic Issues Facing the Filipino Entrepreneur (1).pptx
 
Youth Involvement in an Innovative Coconut Value Chain by Mwalimu Menza
Youth Involvement in an Innovative Coconut Value Chain by Mwalimu MenzaYouth Involvement in an Innovative Coconut Value Chain by Mwalimu Menza
Youth Involvement in an Innovative Coconut Value Chain by Mwalimu Menza
 
Call Girls in DELHI Cantt, ( Call Me )-8377877756-Female Escort- In Delhi / Ncr
Call Girls in DELHI Cantt, ( Call Me )-8377877756-Female Escort- In Delhi / NcrCall Girls in DELHI Cantt, ( Call Me )-8377877756-Female Escort- In Delhi / Ncr
Call Girls in DELHI Cantt, ( Call Me )-8377877756-Female Escort- In Delhi / Ncr
 
Organizational Structure Running A Successful Business
Organizational Structure Running A Successful BusinessOrganizational Structure Running A Successful Business
Organizational Structure Running A Successful Business
 
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
 
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort ServiceCall US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
Call US-88OO1O2216 Call Girls In Mahipalpur Female Escort Service
 
Kenya Coconut Production Presentation by Dr. Lalith Perera
Kenya Coconut Production Presentation by Dr. Lalith PereraKenya Coconut Production Presentation by Dr. Lalith Perera
Kenya Coconut Production Presentation by Dr. Lalith Perera
 
Digital Transformation in the PLM domain - distrib.pdf
Digital Transformation in the PLM domain - distrib.pdfDigital Transformation in the PLM domain - distrib.pdf
Digital Transformation in the PLM domain - distrib.pdf
 
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
Call Girls In Sikandarpur Gurgaon ❤️8860477959_Russian 100% Genuine Escorts I...
 
/:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In...
/:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In.../:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In...
/:Call Girls In Indirapuram Ghaziabad ➥9990211544 Independent Best Escorts In...
 
BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
BEST Call Girls In Old Faridabad ✨ 9773824855 ✨ Escorts Service In Delhi Ncr,
 
Global Scenario On Sustainable and Resilient Coconut Industry by Dr. Jelfina...
Global Scenario On Sustainable  and Resilient Coconut Industry by Dr. Jelfina...Global Scenario On Sustainable  and Resilient Coconut Industry by Dr. Jelfina...
Global Scenario On Sustainable and Resilient Coconut Industry by Dr. Jelfina...
 
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
8447779800, Low rate Call girls in Uttam Nagar Delhi NCR
 
Lean: From Theory to Practice — One City’s (and Library’s) Lean Story… Abridged
Lean: From Theory to Practice — One City’s (and Library’s) Lean Story… AbridgedLean: From Theory to Practice — One City’s (and Library’s) Lean Story… Abridged
Lean: From Theory to Practice — One City’s (and Library’s) Lean Story… Abridged
 
MAHA Global and IPR: Do Actions Speak Louder Than Words?
MAHA Global and IPR: Do Actions Speak Louder Than Words?MAHA Global and IPR: Do Actions Speak Louder Than Words?
MAHA Global and IPR: Do Actions Speak Louder Than Words?
 

Track D Cathrine Lippert - Denmark

  • 1. The Danish Key Data Programme 16th march 2012 Cathrine Lippert, calip@digst.dk
  • 2. The Past – a few highlights • Long history of key registries mandated by law with high level of correctness and completeness • Strong collaboration on digitisation between state, regional and municipality levels since 2001 • Cross-government eGov strategies since 2001 • Data reuse previously high on the agenda; however, put on the backburner in later years • eGovernment-rankings used to place Denmark in Top 3, but position seems to be sliding back
  • 3. The Present - key data challenges in Denmark • The key registries developed over 30 years • Overlapping and non-authoritative registries developed • Cross-government and cross-sector processes impeded by lack of coherence and gaps in key data • Insufficient quality in some key data • Insufficient technical availability of some key data • Charging and licensing schemes inhibit full and efficient reuse of some key data • Limited cross-government governance of key data • Coherent, complete and readily available key data is a requirement for an efficient and fully digitised public sector
  • 4. Increase in use of data – increasing demands Use of National Survey & Cadastre's Map Service Million 1.400 1159 1.200 1.000 Requests 663 800 600 368 245 400 106 200 44 64 23 0 05 06 07 08 09 10 11 12 20 20 20 20 20 20 20 20 Year
  • 5. Current models for access to key data Model A: Public Sector Institutions Height Model, Census (persons), and Private Sector Companies buys Company Data, Accounting Data access Model B: Free Access for Public Topographic Data, Cadastre, Sector Institutions - Private Sector Owner Registration, Business Companies buys access Registry, Income Data Model C: Free Access for Public Administrative Geographic Institutions and for Private Sector Subdivision, Buildings and Companies Dwellings
  • 6. Key Data – part of the new eGov Strategy http://bit.ly/eGov2012
  • 7. Right Now - defining the ’Key Data Programme’ • Cross-government ‘Key Data Programme’ established • Programme is mandated to prepare series of initiatives for June 2012: • Improve quality and coherence of all key data (i.e. remove redundant data and registries and improve workflows across public sector) • Designate key data as ‘Authoritative Data’ • Improve technical availability of key data • Improve accessibility by adjusting charging and licensing • Propose governance model for key data • All proposals must be supported by positive business case
  • 8. Outline of key data proposals (‘packages’) 1. Effective property management and reuse of property data 2. Common addresses, place names and administrative geographic subdivision 3. Common basis for climate adaptation and water management 4. Free and efficient access to geographic data 5. Common key registration of persons 6. Effective reuse and sharing of corporate data 7. Common infrastructure for key data distribution
  • 9. Efficiency gains from the ’Key Data Programme’ More efficient distribution of key data More efficient production of key data More efficient reuse of key data
  • 10. Business Cases and Financing • Business Case challenges • The Good: One entity makes investment, same entity reaps benefits • The Bad: One entity makes investment, other entities reap benefits • The Ugly: Several entities make investments, several other entities reap benefits • Financing challenges • Redistributing gains in the public sector from reduced cost (administrative, ICT, charges) • Redistributing gains in the public sector from more efficient processes
  • 11. Our question to you … How can we measure the effect of our Key Data Programme? • How to establish a baseline, i.e. the ’before’ scenario? • How to measure effect of improvements, i.e. the ’after’ scenario?

Editor's Notes

  1. topography, cadastre, dwellings, persons, businesses 2. high level governance board and a Digital Taskforce 3. 2001, 2004, 2007 and 2011