I went to the Open Government Data barcamp in the weekend, where I starting a discussion on how to measure the value of reusing government held data.
I shared the ways that I had found it had being done overseas:
- The District of Columbia estimated the cost developing the software that won their reuse of data competition.
- The European Union estimated the value of the market created through making data available for reuse through a number of estimates:
- crowdsourcing: data reusers are asked to estimate the market size;
- turnover: various forms of turnover, less the cost of accessing the data;
- income: income received by the data reusers;
- staff: the number of staff employed by the data reusers.
There was a discussion thread around the difficulty of measuring the value of reuse:
- The secondary and subsequent reusers of data also add value; the total of which may exceed the primary reuser.
- It is hard to value public good.
- It is hard to value democratic value - yet democracy requires transparency.
- Downloads or access are a proxy for demand and hence of value.
- The cost of collection is relatively easy to calculate and so could be a lower bound of value.
There was another thread of discussion around charging for data:
- Charging can be a barrier:
- The cost deters potential reusers.
- The reuse unit at the agency may impose a minimum quantum of charge to manage its work load and ensure return on effort - thereby creating another barrier. (UK experience)
- Charging may increase the data quality, as the agency gets rewarded for better quality data

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