17. What people say about Open Data Not a question of how much data to make open but how to make it open What is the return on investment? There has been little interest in OpenData from our citizen Are the opening up of data enough to meet the need of transparency and accountability? Datasets are inherently dull and are they understood by the local citizen?
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19. Open to Linked Data Adapted from Ian Painter Snowflake by Local Government Group
20. Meeting INSPIRE Compliance: From discovery to mapping Barrow Borough Council using INSPIRE compliant Open Source Web Mapping Service
Open data in relation to public services has typically been collected as a by- product of delivery and include datasets about public services, user satisfaction and performance of providers. Large non-personal datasets routinely collected by public services Service records (such as school, public health record) to give individuals right to access and control their own records User feedback on services (i.e. social care or health) Currently published: spending data, senior salaries, To be published: key data on the National Health Service, schools, criminal courts and transport
Accountability: public sector organisation sharing information about the use of public funds (Public Asset register) Choice: providing comparative information to enable a meaningful choice between different public services (spending data) Productivity: reporting of costs and service performance can be a driver for efficiencies (comparable data, spikes cavell), use of data can lead to productivity improvements (GI Value study) Quality and Outcomes: benchmarking of data can help peer based competition and better quality outcomes. Self service by people may improve the quality of data Social growth: access to self-serve (incidence reporting, london cycle hire, wehre is my nearest) Economic Growth: data for reuse to foster analytic service leading to innovation. Operational use: collected for carrying out services (ie asset management, public transport, planning, etc.) Prevention, risk reduction: Linking services 24/7 access to information through the web (on holiday, at home, on travel or in the office)
http://www.guardian.co.uk/news/datablog/2011/aug/16/riots-poverty-map-suspects We have been collecting courts data for people accused of riots going through the magistrates courts - as of today, the legal system has processed over 1,100 cases and we have been recorded addresses and demographic details . Against map of multiple deprivation. Location based on crowd sourcing, flickr etc.
1. Make it open No T&Cs about not using the data for commercial use, no restrictions on access. Make the data available to anyone to do whatever they want to with it. That's the only way that the data information revolution is going to work. 2. Make it readable for computers The data needs to be in a format that any computer can use - no more PDFs, thank you very much. If developers can't build applications and campaigners can't analyse it, what use is it? 3. Make it granular The days when we only wanted official statisticians to just put the numbers together in a way we could understand are gone. Now we also want the full, disaggregated data too. It's the only way it will ever be useful for someone wanting to gather the true local picture of local spending. Let us worry about whether the dataset is too big or not. It's not your problem anymore. 4. Make it quick Just get the stuff out there. We'd rather have it as it is - and then get it revised later than have to wait months for it to be finalised. The government has provided express permission for local authorities to do this. So just do it. 5. Make it easy to find There's no point hiding this stuff away. If we can't find it, it may as well not exist. It should be easy to discover and simple to access.
Open Public Data ONS: Statistics some published in linked data format NOMIS OS Open Data: Small scale data Natural England: Open data Local authorities: 81 published spending data according to guidelines (87 authorities across uk local authorities publish open data according to openlylocal http://openlylocal.com/councils/open (following OGL and machine readable) )n 7 July only 15 out of 434 had totally opened data Open data not government: Open street map Non-open data: Google maps (open for public use but licences apply Non-open public data: OS large scale data OS derived data which are not exempt: Public assets, government service location,
Human readable data : to be easily understandable to humans, most commonly in html or pdf format, data cannot be easily reused, processed, analysed and linked to other data Open Data : follows open data standards developed by the w3 consortium, to be machine-readable (CSV, XML) Linkable Data: Data that can be compared using comon reference Linked data : specific form of open data, enables the data to be joint up with other related information, coded according to specific classifications (ontologies) published in linked data formats such as RDF using specific uniform resource identifiers.
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