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Local open data ecosystems - a prototype map

It is increasingly recognised that some of the most important open data is published by local authorities (LAs) - data which is important to us like bin collection days, planning applications and even where your local public toilet is. Also given the likely move towards greater decentralisation, firstly through devolution to cities, the importance of the publication of local open data could arguably become more important over the next couple of years. In addition, as of 1st April, there is a new transparency code for local government requiring local authorities to publish further information on things like spending to local land assets. To pre-empt this likely renewed focus on local open data we have begun to develop a prototype map to highlight the UK’s local open data ecosystem.

Already there is some great practice in the publication of open data at a local level - such as Leeds Data Mill, London Datastore, and Open Data Sheffield. This regional activity is also characterised not just by high quality data publication, but also by pulling together through hackdays, challenges and meetups a community interested in the power of open data. This creates an ecosystem of publishers and re-users at a local level. Some of the best practice in relation to developing such an ecosystem was recognised by the last government in the announcement of a group of Local Authority Open Data Champions. Some of these were also recipients of the funding for projects from both the Cabinet Office and through the Open Data User Group.

Outside of this best practice it isn’t always easy to understand how developed smaller, less urban open data agendas are. Other than looking at each councils’ website or increasingly on the data portals that forwarding thinking councils are providing, there is a surprisingly large number of places that local authorities could make their open data available. The most well known of these is the Openly Local project but at the time of writing this now seems to be retired. Perhaps the best catalogue of local authority data is on Data.gov.uk itself. This has 1,449 datasets published by LAs across 200 different organisations. Following that there is the Open Data Communities website which hosts links to LA linked datasets. Using data from the latter, Steve Peters has developed the local data dashboard (which was itself based on the UK Local Government Open Data resource map from Owen Boswarva). In addition, local authorities can also register their open data in the LGA’s Open Data Inventory Service and take it through the ODI’s data certification process.

Prototype map of local open data eco-systems

To try to highlight patterns in local authority open data publication we decided to make a map of activity around the country (although in the first instance we’ve focused on England). Our aim has been to show where the data publication hotspots are, the quality and breadth of the publication, as well as how it is loosely associated with broader data activity - such as local open data businesses, meetups and ODI nodes. The first step in creating our map was to draw together relevant datasets. We started with the data powering Steve Peters’ local data dashboard which came from Open Data Communities. This provided us with a list of all the local authorities in England as well as their open data landing pages and any additional open data portals that are available.

In terms of the types of organisations which are part of our analysis we chose to look at upper-tier local authorities, lower-tier local authorities, unitary authorities / London boroughs and city organisations such as the GLA. We identified Data.gov.uk and Local Goverment Association as the combined data stores for local authority data and included any local authority open data sites or portals. Local authority sites were excluded even if these had an open data page, as these varied widely in content and usability making it difficult to objectively assign a value. We decided it was too difficult for our purposes at the moment to collect information on the data available on each local authority website, so instead relied on the catalogues mentioned above. The amount of data available on these sites varies widely, with some councils only publishing the minimum data required. We did not look at the quality of data available or what they were publishing on each local authority site.

Having pulled together the relevant data we summarised the open data availability of the open data in each area as a score. We scored each local authority based on how much data they had available across multiple sources and how engaged they were with sharing their data. We recognise that this is a blunt description of the open data availability in an area but thought it was a reasonable start. The open data availability score is composite score based on:

  • Data.gov.uk metadata: Number of datasets available on Data.gov.uk. Score is 0 if no datasets were available, 1 if some were available, 2 if more than the average number (for Local Authorities) were available.

  • Local Government Association data: Number of datasets on Local Government Association (lower tier only as no county level information was available)

  • Open Data Communities list & portals: Number of open data local authority sites/portals. For example Leeds has two sites with Leeds datamill & Leeds observatory, some LAs only have one, some have no sites dedicated to sharing their data

  • ODI certificates: Number of ODI certificates. The number of ODI certificates held by a local authority can be considered as measure of their current engagement and funding requests for support as a measure of intent.

  • Open data funding for local government : local authorities that had applied for a grant were scored as 1 and 0 for those that had not applied.

Each composite was summed to generate the total score and no weighting was applied. All data and calculations are shown in this Google Sheet. Having created this scoring across local authorities we then used CartoDB to map the information which you can see below with the full map accessible here:

The map also includes the data on data meetups from the work that Juan Mateos-Garcia undertook as well as an overlay of the ODI data on open data businesses and nodes. This is very much a first go at visualising this data and we’d welcome comments and suggestions on our approach. At the moment we haven’t found a nice way to display data in relation to upper and lower tier open data publication and so they overlap and look a bit messy - recommendations on how to approach this gratefully received. We could also improve the analysis by looking at the quality of the open data available not just whether it’s available on other websites as an indicator of accessibility. Please do highlight where we’ve got anything wrong or any ideas where we could improve our analysis.

Next steps

A next step for us from an organisational perspective could be to see how this map looks when contrasted with the location of projects that we’re funding that are using open data for instance through the Destination Local project supporting some hyperlocal organisations to re-use local open data, or the Digital R&D Fund for the Arts data projects.

We think even this initial analysis highlights some interesting patterns. For instance there seems to be an urban/rural split where there is clearly greater number of open data availability about urban areas and cities compared to rural local authorities. This seems intuitively correct - and also seems to be a pattern in both the nesta analysis of Meetup data and the ODI open data businesses study. If you spot any other patterns or have any other insights please do leave them in the comments below.


Ed Parkes

Ed Parkes

Ed Parkes

Senior Programme Manager

Ed worked in the Innovation Lab in Nesta, as the Senior Programme Manager for the Open Data Challenge Series, which was run in partnership with the Open Data Institute.

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Gail Dawes

Gail Dawes

Gail Dawes

Data Insights Manager

Gail was the Data Insights Manager based in the Technology team. She was responsible for organising and analysing Nesta’s data. Being a data geek, Gail is passionate about open data an…

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