Summary docs of the EU open data strategy
From LinkedGov
Mostly from POPSIS: Pricing of Public Sector Information Study
Three layers of open data impact
A) Products built from the data (sales, taxes generated, jobs created) (See app market document)
- market size (in GBP, EUR)
- market size as % of GDP (for country or EU)
- tax revenue from data re-use (corporate taxes, sales/VAT taxes)
- jobs created or staff turnover
- evidence of demand for data (met or unmet)
- venture capital investment in new companies dependent on public data
Proxy figures:
- numbers of users
B) Secondary effects of products from the data
We don't have much data on this, but it would be:
- time saved/productivity gained (Paris Metro app, POPSIS p 19 and Review of recent studies of PSI re-use p 15)
- money saved (outside of government)
- health and wellbeing improvements
- new secondary businesses
Also
C) Less government spending (efficiency)
Metrics:
- cost of the organisation (yearly budget of the public sector body)
- cost of sales
- cost of developing and enforcing licensing
- cost of making the data available (infrastructure, support. Free or chargeable data)
- sources of income: amount from government, amount from sale of data
- overall sales revenues from data
- amounts paid by governmental customers
- amounts paid by the private sector
- savings in provision of other public services
- Also, possibly useful: Cost-recovery ratio for each organisation
Proxies, when we don't have the above information:
- Increases in demand for the data
- Usage, number of users, cost per user.
For each of the following industries:
- Maps and geodata
- Weather and meteorology data
- Companies and business registration
- Other
