Innovating with Open Data Jon Blower University of Reading Project coordinator

MELODIES overview Maximizing the Exploitation of Linked Open Data In Enterprise and Science 3 years, started 1 st November partners in 8 EU countries €6.7M budget Aims to demonstrate the business and scientific benefits of releasing data openly Responds to European Open Data Strategy – Sister project of SWITCH-ON and SmartOpenData

Objectives 1.To combine multiple open data streams to develop innovative environmental services; 2.To apply Linked Data and Semantic Web approaches to enhance the services and generate new knowledge; 3.To deliver reusable technology that facilitates the exploitation of open data; 4.To ensure that the services are sustainable beyond the lifetime of the project; 5.To demonstrate the value of open data and stimulate the release of more open data by data providers.

The MELODIES services

Shared Technology Platform “Sandboxes” for development and testing Data staging for shared datasets Scalable, parallel data processing Management of Geospatial Linked Data Visualization and mapping Data publishing through open Web Services Reusing developments from GeoWOW, GENESI-DEC, TELEIOS, GeoViQua, MyOcean, more…

Some technologies we are using Terradue cloud platform and sandbox environment – Building on GeoWOW Strabon database for geospatial Linked Data – Building on TELEIOS Web Mapping, OGC web services and portal tools – Building on MyOcean, GeoViQua, more…

Ensuring impact Each service supported and advised by a key user – Gives a direct route to adoption – Some users government, others industrial TODO

Sustainability Dedicated workpackage looking at sustainability issues: – Economic/financial – Technical – Legal Examines changes in the Open Data landscape Examines potential of services to expand beyond initial geographic boundaries Provides evidence-based recommendations back to policymakers regarding open data policies

How it all fits together

Conclusions Project aims to demonstrate that releasing data openly leads to strong commercial and scientific exploitation A key challenge is to combine diverse sources of Open Data – Earth Observation – Modelling and forecasting – Socioeconomic/government data We have only just started – please keep in touch!

Thank you!