Ojo Al Data 100 - Call for sharing session at IODC 2016

1. Call for Sharing session at IODC 2016, Madrid, 7 Oct 2016 Oscar Corcho, @ocorcho (on behalf of the #OjoAlData100 group) Slides available at www.slideshare.com/ocorcho #OJOALDATA100 http://ojoaldata100.okfn.es/

2. Página 2#OJOALDATA100 Before we start… The team (acknowledgements)

3. #OJOALDATA100 Alberto Abella Oscar Corcho Esther Minguela Victoria López Andrés Recio Guadalupe Miñana Antonio Ibáñez Eva Méndez Nancy Gómez Santiago Mota Enrique Crespo … And all those who participated in the UNE178301 technical norm Olga Quirós

4. #OJOALDATA100 Structure of the session  The OjoAlData100 initiative: introduction and presentation of attendees  Our starting point: the UNE178301:2015 technical norm on Open Data and Smart Cities.  From 10 to 100 datasets  Technical infrastructure for vocabulary management  Next steps  Open discussion with attendees

6. #OJOALDATA100 What is #OJOALDATA100? Our proposed catalogue of 100 DATASETS that every city should be publishing in their open data portal/API A community-based effort rooted in Madrid, and based on previous nationwide experiences

7. #OJOALDATA100 Why #OJOALDATA100? No clear guidelines for cities on what to publish Heterogeneity Reusers want to: Develop once, deploy everywhere

8. #OJOALDATA100 City Census http://us-city.census.okfn.org/, http://es-city.census.okfn.org/, etc.  Annual Budget  Public Facilities  Procurement contracts  Transport Timetables  Election results  Air Quality  Expenditure (detailed)  Real-Time Transit  Business Listings  Traffic accidents  Service Requests  Building permits  Business Permits  Crime statistics  Food safety inspections 15

9. #OJOALDATA100 11 UNE 178301: Open Data for Smart Cities  Shop census  Cultural agenda  Population census  Air quality  Public procurement  Budget  Public parking  Public transport  Traffic  Tourism-relevant places  Streets

10. #OJOALDATA100 World Council on City Data (ISO 37120) 100 indicators (not datasets) Organised in 17 themes Economy Education Energy Environment Finance Fire & Emergency Response Governance Health Recreation Safety Shelter Solid Waste Telecommunications Transportation Urban Planning Wastewater Water & Sanitation 100

11. #OJOALDATA100 And a few others UK’s PAS 181 Smart City Framework Smart city’s catalogue from AMETIC (National IT companies Association)  And all those that can be derived from the different transparency indicators…  Although open data and transparency are not the same thing

12. #OJOALDATA100 Which are our main challenges? • What should we publish? • Added value for cities • Added value for reusers • Available legislation • How should we publish it? • In which format(s)? • With which level of detail?

13. #OJOALDATA100 Our decision Let’s work towards creating a rich catalogue of datasets (around 100), with a wide range of stakeholders and following a bottom-up approach Thanks to…

14. #OJOALDATA100 Structure of the session  The OjoAlData100 initiative: introduction and presentation of attendees  Our starting point: the UNE178301:2015 technical norm on Open Data and Smart Cities  From 10 to 100 datasets  Technical infrastructure for vocabulary management  Next steps  Open discussion with attendees

15. #OJOALDATA100 UNE 178301. Introduction. Team  Working group CTN 178. Ciudades Inteligentes  Promoted by: • AENOR • Ministry of Industry, Energy and Tourism (Secretary for Telecommunications and the Information Society – SETSI)

16. #OJOALDATA100 UNE 178301. Introduction. Team Coordinators:  Localidata. Esther Minguela and Oscar Corcho Participants (37):  6 private companies  10 city councils  3 regions  3 ministries  2 other This work would not have been possible without the collaboration of this group of people

17. #OJOALDATA100 UNE 178301. Introduction. Needs Reference document for city managers and non experts in open data Unify heterogeneity of criteria in open data strategies More of a guideline, rather than a pure technical norm  Not just technical  It’s more about understanding where we are and where we should reach Data interoperability among cities

18. #OJOALDATA100 This standard establishes how to assess the publication of a City's Open Data. It is determined in the form of metrics and an indicatorto measure the degree of maturity of open data created or held by the public sector that may be reused in the scope of Smart Cities. This standard is applicable to the public sector entity responsible for city management. It also establishes a list of data setsthat are considered a priorityin open data initiatives, together with a set of vocabularyrecommended for use in their publication. UNE 178301. Introduction. Summary

19. #OJOALDATA100 Strategic aspect • Strategy • Leadership • Commitment to service • Sustainability Legal aspect • Internal and external regulations • Terms of use and licensing Organisational aspect • Responsible unit • Personnel and training • Inventory • Priority Measuring aspect • Measurement of process compliance • Measurement of use and impact Availability aspect • Catalogue • Presence in the Catalogue of Public Information • Documented data sets • Categorisation and search • Availability • Persistent and friendly references UNE 178301. Metrics (I)

20. #OJOALDATA100 Access aspect • Strategy • Accessibility/Non-discrimination • Cost-free status • Access systems Quality aspect • Primary data • Complete data • Documented data • Technically correct data • Georeferenced data • Linked data Updating aspect • Updating process • Updating frequency • Expansion of data sets Reuse aspect • Amount of data • Data format • Standard data vocabularies Participation and collaboration aspect • Transparency, participation and collaboration • Complaint and dispute resolution • Promoting reuse • Developed reuse initiatives UNE 178301. Metrics (II)

21. #OJOALDATA100 Datamanagement Strategy Legal Organizational Measurements AvailabilityAccess Quality Updates Reuse Participation and collaboration UNE 178301. Metrics. Example

22. #OJOALDATA100 UNE 178301. Metrics. Example

23. #OJOALDATA100 Initial assessment Application during the deployment MeasuringContinuous improvement UNE 178301. Metrics. Indicator

24. #OJOALDATA100 Publish Semantic Extract Open data publishing according to the UNE 178301 vocabularies and data structures UNE 178301. Datasets and vocabularies.

25. #OJOALDATA100 UNE 178301. Datasets and vocabularies. Example Dataset Vocabulary General vocabularies – Postal Address Vocabulary: http://vocab.linkeddata.es/datosabiertos/def/urbanismo-infraestructuras/direccionPostal – Territorial Unit Vocabulary http://vocab.linkeddata.es/datosabiertos/def/sector-publico/territorio Budget – Vocabulary: http://vocab.linkeddata.es/datosabiertos/def/hacienda/presupuesto Public procurement – Vocabulary: http://contsem.unizar.es/def/sector-publico/pproc Air quality – Vocabulary: http://www.w3.org/2005/Incubator/ssn/ssnx/ssn Traffic status – Vocabulary: http://vocab.linkeddata.es/datosabiertos/def/transporte/trafico Public transport – Vocabulary: http://vocab.linkeddata.es/datosabiertos/def/transporte/transportePublico … …

26. #OJOALDATA100 International. ITU: UNE 178301 Ciudades Inteligentes. Datos Abiertos Spain: AENOR-SETSI: Without homogeneisation, open city data will not reach their full potential Y.ODI. Open Data Indicator in Smart Cities UNE 178301. International

28. #OJOALDATA100 Accordion way of working  10 starting  After different contributions  Including personal experience  More than 250 datasets

29. #OJOALDATA100 Funnel process  Approach: Focus on an average city (global)  Seaside/Port?  Size above … 20k inhabitants  Not megacities  City competences  Spain  Abroad

30. #OJOALDATA100 Funnel process  Remove duplicates  Consolidate others  Detected our lack of competence on some fields  Remove conflictive datasets  Results : around 170

31. #OJOALDATA100 Funnel process  Priorities  Based on citizen perspective  And on potential apps/external services  Consensus based (when possible :-D)  Voting in case of conflict (few times)

32. #OJOALDATA100 Just a sample (those starting with “A”) Accidentalidad del tráfico (coches, motos, bicis, heridos, muertos, ….) Actividad inspectora. (se puede publicar la actividad inspectora, pero no así la sancionadora) Actos en vía pública Actuaciones Bomberos Actuaciones de atención social a personas (mayores, sin hogar, etc.) Actuaciones de urgencias (SAMUR, sociales, o similares) Actuaciones Policía y Protección Civil Agenda (Municipal y Alcaldía) Agenda de Actividades (se unifica en una agenda todo) incluyendo cursos y cursos deportivos Agentes económicos que pagan impuestos Albergues y centros de noche (oferta y uso) Alquiler de vivienda pública Aparcamiento público Aparcamiento y reserva en vía pública Arbolado y Arbolado monumental Avisos, Sugerencias, Quejas y Reclamaciones

33. #OJOALDATA100 Getting into details  Is there any open standard / vocabulary / best practice?  Yes → done (we choose it)  No → OMG  Decide the minimum data to be present  Additional data can be included

34. #OJOALDATA100 http://ojoaldata100.okfn.es/

36. #OJOALDATA100 Vocabularies for #OjoAlData100 Objective  Define the shared data structures to be used by all cities adhering to #OjoAlData100 Shared data structure == vocabulary == ontology Realisations in  OWL (to be used for RDF data)  JSON-LD contexts  CSV structures Very important: Good documentation (a CSV structure with no documentation is useless)

37. #OJOALDATA100 https://github.com/opencitydata

38. #OJOALDATA100 Tooling landscape based on Evaluation Documentation Publication Registration integrates integrates integratesintegrates Developed at…

39. #OJOALDATA100 URLs  vocab.linkeddata.es  URL: http://vocab.linkeddata.es/  GitHub: https://github.com/mariapoveda/vocab.linkeddata.es/  vocabLite  GitHub: https://github.com/dgarijo/vocabLite  OnToology  URL: http://ontoology.linkeddata.es  GitHub: https://github.com/OnToology/OnToology/  AR2DTool  URL: http://ar2dtool.linkeddata.es/  GitHub: https://github.com/idafensp/ar2dtool  Widoco  Github: https://github.com/dgarijo/Widoco/  OOPS!  Web application: http://oops.linkeddata.es/  Web service: http://oops-ws.oeg-upm.net/  Vocabularium  GitHub: https://github.com/SmartDeveloperHub/sdh-vocabulary/tree/feature/publisher

40. #OJOALDATA100 OnToology Evaluation reports HTML documentation Diagrams Permanet ids Content negotiation Bundle Previsualization

41. #OJOALDATA100 A landing page for each repository Extracted from ontology metadata Errors produced in generation Work in progress

42. #OJOALDATA100 Example. Public services offered by a city https://opencitydata.github.io/sector-publico- servicio/index.html

44. #OJOALDATA100 Next steps (I)  Disseminate (refine, extend and adapt) the catalogue (#ojoaldata100)  In Spain, via the Spanish thematic network on Open Data for Smart Cities (www.opencitydata.es)  Internationally  Connect with the ISO 37120 indicators  Datasets to be used to generate those indicators  Discussed at OpenCitiesSummit

45. #OJOALDATA100 Next steps (II)  Continue improving technical infrastructure  Much of it available at https://github.com/oeg-upm/  Create working groups for specific datasets  Similarly to what is being done with OpenContracting, Open311, etc.  We need dataset leaders  We will provide help, but not do all the work required Events will be organised over the next year to get together and discuss (and work) about results

46. #OJOALDATA100 Structure of the session  The OjoAlData100 initiative: introduction and presentation of attendees  Our starting point: the UNE178301:2015 technical norm on Open Data and Smart Cities.  From 10 to 100 datasets  Technical infrastructure for vocabulary management  Next steps  Open discussion with attendees  Would you apply this in your country?  Do you know of other similar initiatives?  How do we apply this for the whole world?  Do you want to help on this?

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