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Mike Thacker – Porism Limited 
Open Data 
COMBINING DATA THROUGH STANDARDS 
AND METRICS 
Combining data through standards and 
metrics 
2
WHAT WE MEAN BY STANDARDS 
Combining data through standards and 
metrics 3
Making local data useful 
• Municipalities need to be compare with one another 
• Innovators need to build apps cost-effectively 
Hence we offer 
standards for: 
• what we call things 
• format of open data
Defining datasets and linking via URIs 
Schemas 
Define 
structure of 
Datasets 
Contain 
Data 
items 
Local 
authorities 
Official 
geographies 
Neighbour-hoods 
Services 
grouped 
by function 
Other eg: 
• Planning 
categories 
• Entertainment 
types
UNIFORM RESOURCE IDENTIFIERS (URIS) 
Combining data through standards and 
metrics 6
URIs - Uniform Resource Identifiers 
Codes that give precise definitions of things, eg: 
• http://id.esd.org.uk/service/860 – premises licence service 
• http://opendatacommunities.org/id/unitary-authority/york 
York City Council 
• http://statistics.data.gov.uk/id/statistical-geography/ 
E06000014 York area - from ONS 
These normally resolve to descriptions with properties 
that are human and machine readable
Finding a URI - uris.opendata.esd.org.uk
What we know about each service 
Service 
Web page for each English council
URIs resolved - service 
standards.esd.org.uk
STANDARDS FOR DATA FORMATS - SCHEMAS 
Combining data through standards and 
metrics 11
The inventory schema 
Inventory 
Dataset Documents 
ODF, PDF, HTML 
Data 
CSV, XML, ... 
Dataset Documents 
ODF, PDF , HTML 
Data 
CSV, XML, ... 
inventory.esd.org.uk 
• Indexes datasets & their schemas against functions & services 
• Automatically harvested by data.gov.uk 
• Automatically output by DataShare DKAN and CKAN following 
• Can be uploaded to and validated by esd-toolkit
Dataset schemas 
• Define the structure of data for a service or function (group of 
services) 
• Shared to allow (not mandate) consistency 
• Some validated schemas encouraged 
• Formats: 
– Tabular: DataShare definitions and CSV validation files as 
used by the ODI’s csvlint.io 
– XML 
– Linked data profiles
CSV Checker - http://csvchecker.opendata.esd.org.uk/ 
presentatienaam 14
Inventories of datasets
Combined index of local datasets
Datasets from many municipalities using the same 
schema 
One feed of all aggregated CSV datasets
METRICS – STANDARD MEASURES 
Combining data through standards and 
metrics 18
Metric types 
See here
Evidence-led policy 
Policy Policy Metrics Services 
Increase healthiness / 
quality of life 
Obesity 
Psychiatric illness 
Cardiac illness 
Dietary advice, School meals 
Green spaces, 
Recreational facilities 
Increase economic activity Employment 
Street crime 
Educational attainment 
Careers advice 
Policing, CCTV 
Schooling, Adult education 
Safer roads Road accidents Traffic control, Signage 
Metrics 
determine 
Policies Services
Metrics structure 
Metric 
type 
Metric 
value 
Date/ 
Time 
Organis 
ation 
has 
Dimensions Area 
Examples 
• Miles of roads 
• Road accidents 
• Spending on roads 
Example 
• Norfolk County 
Council 
 EoE £573.2M 
 England £208.8M 
2012 6,142.5 
£75.3M 
Example 
• Norfolk administrative area 
• East of England 
• England 
At a point 
or 
Over a period 
Examples 
• Age 
• Gender 
• Severity 
183,003.4 
2010-12 
353 
24,027.8 2,473 
21,534 
2011/12 
has 
has has has 
governs
Example data analysis – Comparing 
Municipalities 
Full report: Live PDF
Example data analysis – Comparing areas within 
a municipality 
See here
API with RESTful web methods 
See here
Further information 
• UK local government open data: http://opendata.esd.org.uk/ 
• Standards: http://standards.esd.org.uk/ 
• Metric types http://id.esd.org.uk/list/metricTypes 
• Dimensions (Circumstances) http://id.esd.org.uk/list/circumstances 
• Municipalities http://opendatacommunities.org/data/local-authorities 
• Administrative areas http://statistics.data.gov.uk/doc/statistical-geography/ 
• Natural neighbourhoods: http://neighbourhoods.esd.org.uk/ 
• Tools http://about.esd.org.uk/ 
• API: http://api.esd.org.uk/ 
Mike.Thacker@Porism.com 
@MikeThacker
Combining data through standards and metrics by Mike Thacker

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Combining data through standards and metrics by Mike Thacker

  • 1.
  • 2. Mike Thacker – Porism Limited Open Data COMBINING DATA THROUGH STANDARDS AND METRICS Combining data through standards and metrics 2
  • 3. WHAT WE MEAN BY STANDARDS Combining data through standards and metrics 3
  • 4. Making local data useful • Municipalities need to be compare with one another • Innovators need to build apps cost-effectively Hence we offer standards for: • what we call things • format of open data
  • 5. Defining datasets and linking via URIs Schemas Define structure of Datasets Contain Data items Local authorities Official geographies Neighbour-hoods Services grouped by function Other eg: • Planning categories • Entertainment types
  • 6. UNIFORM RESOURCE IDENTIFIERS (URIS) Combining data through standards and metrics 6
  • 7. URIs - Uniform Resource Identifiers Codes that give precise definitions of things, eg: • http://id.esd.org.uk/service/860 – premises licence service • http://opendatacommunities.org/id/unitary-authority/york York City Council • http://statistics.data.gov.uk/id/statistical-geography/ E06000014 York area - from ONS These normally resolve to descriptions with properties that are human and machine readable
  • 8. Finding a URI - uris.opendata.esd.org.uk
  • 9. What we know about each service Service Web page for each English council
  • 10. URIs resolved - service standards.esd.org.uk
  • 11. STANDARDS FOR DATA FORMATS - SCHEMAS Combining data through standards and metrics 11
  • 12. The inventory schema Inventory Dataset Documents ODF, PDF, HTML Data CSV, XML, ... Dataset Documents ODF, PDF , HTML Data CSV, XML, ... inventory.esd.org.uk • Indexes datasets & their schemas against functions & services • Automatically harvested by data.gov.uk • Automatically output by DataShare DKAN and CKAN following • Can be uploaded to and validated by esd-toolkit
  • 13. Dataset schemas • Define the structure of data for a service or function (group of services) • Shared to allow (not mandate) consistency • Some validated schemas encouraged • Formats: – Tabular: DataShare definitions and CSV validation files as used by the ODI’s csvlint.io – XML – Linked data profiles
  • 14. CSV Checker - http://csvchecker.opendata.esd.org.uk/ presentatienaam 14
  • 16. Combined index of local datasets
  • 17. Datasets from many municipalities using the same schema One feed of all aggregated CSV datasets
  • 18. METRICS – STANDARD MEASURES Combining data through standards and metrics 18
  • 20. Evidence-led policy Policy Policy Metrics Services Increase healthiness / quality of life Obesity Psychiatric illness Cardiac illness Dietary advice, School meals Green spaces, Recreational facilities Increase economic activity Employment Street crime Educational attainment Careers advice Policing, CCTV Schooling, Adult education Safer roads Road accidents Traffic control, Signage Metrics determine Policies Services
  • 21. Metrics structure Metric type Metric value Date/ Time Organis ation has Dimensions Area Examples • Miles of roads • Road accidents • Spending on roads Example • Norfolk County Council  EoE £573.2M  England £208.8M 2012 6,142.5 £75.3M Example • Norfolk administrative area • East of England • England At a point or Over a period Examples • Age • Gender • Severity 183,003.4 2010-12 353 24,027.8 2,473 21,534 2011/12 has has has has governs
  • 22. Example data analysis – Comparing Municipalities Full report: Live PDF
  • 23. Example data analysis – Comparing areas within a municipality See here
  • 24. API with RESTful web methods See here
  • 25. Further information • UK local government open data: http://opendata.esd.org.uk/ • Standards: http://standards.esd.org.uk/ • Metric types http://id.esd.org.uk/list/metricTypes • Dimensions (Circumstances) http://id.esd.org.uk/list/circumstances • Municipalities http://opendatacommunities.org/data/local-authorities • Administrative areas http://statistics.data.gov.uk/doc/statistical-geography/ • Natural neighbourhoods: http://neighbourhoods.esd.org.uk/ • Tools http://about.esd.org.uk/ • API: http://api.esd.org.uk/ Mike.Thacker@Porism.com @MikeThacker

Notas del editor

  1. Local government is different from central government when it comes to providing open data in that hundreds of councils provide the same type of data. It helps councils to be able to compare with one another. We want to encourage innovators (eg SMEs, interest groups) to develop applications that make use of the data, but it is not cost-effective for them to do so differently for every council. Hence standard means or offered for referring to elements of data and standard ways of sharing them. Little is mandated but you make it easier for others to consume your data of you use the same references and same formats as other councils.
  2. Standard classifications, in the form of sets of URIs, are important so everyone using the data understands the terms used and these terms have precise meaning. URI sets of particular importance to local authorities are from: DCLG’s Open data Communities ONS, published via statistics.data.gov.uk our esd-standards and natural neighbourhoods (developed by Cheshire East) sites URIs are used to: Classify schemas define the scope of datasets - define teh scope of induividual data items within datasets
  3. Our Open data URIs page lets you do a text search across important URI sets to find a specific URI. We also provide a facility for councils to add their own local “alternative labels” against URIs and an API that converts a local label back to the official URI. The facility is used in the incentive scheme if, for example, a council has its own name for a type of planning application which it needs to cross-reference with the official definition.
  4. As always, Services are central to our work in local government. The current model means we have as open data these categories of information for some or all services in the Local Government Services List. The Services List is under continual review. A few changes were made for more precise definition of planning services referenced in the incentive scheme. Record retention guidance data is changed as we and Kent County Council get feedback from users and as legislation changes. The last update was in June and a further one is scheduled for March.
  5. data.gov.uk have in beta a “harvester” that automatically reads council inventories and updates their entries in the data.gov.uk catalogue. We have implemented a similar harvester in our page where you can register your inventory for automatic harvesting.
  6. The datasets page lets you see what local authority datasets exist for specified functions and services. You can filter by dataset format and can also see links to local documentation on the datasets.
  7. A well as reading details of open datasets from inventories, we also read them from submissions under the local open data incentive scheme. Note that these submissions are for live data feeds, but many are for static files, so a different address applies to each week’s, month’s or year’s data. Hence we really need an automatically maintained inventory to be sure of picking up the latest datasets.