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The Danish Key Data Programme 16th march 2012 Cathrine Lippert, [email protected]

Track D Cathrine Lippert - Denmark

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Page 1: Track D   Cathrine Lippert - Denmark

The Danish Key Data Programme

16th march 2012

Cathrine Lippert, [email protected]

Page 2: Track D   Cathrine Lippert - Denmark

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

Page 3: Track D   Cathrine Lippert - Denmark

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

Page 4: Track D   Cathrine Lippert - Denmark

Increase in use of data – increasing demands

Use of National Survey & Cadastre's Map Service

368

663

1159

23 44 64

106 24

50

200

400

600

800

1.000

1.200

1.400

2005

2006

2007

2008

2009

2010

2011

2012

Million

Year

Req

uest

s

Page 5: Track D   Cathrine Lippert - Denmark

Current models for access to key data

Model A: Public Sector Institutions and Private Sector Companies buys access

Height Model, Census (persons), Company Data, Accounting Data

Model B: Free Access for Public Sector Institutions - Private Sector Companies buys access

Topographic Data, Cadastre, Owner Registration, Business Registry, Income Data

Model C: Free Access for Public Institutions and for Private Sector Companies

Administrative Geographic Subdivision, Buildings and Dwellings

Page 6: Track D   Cathrine Lippert - Denmark

http://bit.ly/eGov2012

Key Data – part of the new eGov Strategy

Page 7: Track D   Cathrine Lippert - Denmark

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

Page 8: Track D   Cathrine Lippert - Denmark

Outline of key data proposals (‘packages’)

1. Effective property management and reuse of property data2. Common addresses, place names and administrative

geographic subdivision3. Common basis for climate adaptation and water management4. Free and efficient access to geographic data5. Common key registration of persons6. Effective reuse and sharing of corporate data7. Common infrastructure for key data distribution

Page 9: Track D   Cathrine Lippert - Denmark

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

Page 10: Track D   Cathrine Lippert - Denmark

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

Page 11: Track D   Cathrine Lippert - Denmark

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?