Yes, we have data! Maria Luiza (UFRJ) e Giancarlo (UFES)
Is it open?Maria Luiza (UFRJ) e Giancarlo (UFES)
Open Governmental Data • In some sense – There is a lot already available – But… • Is it easy to find, access and use together?
Open Governmental Data• Interoperability and Integration requires a lot of work – Even inside a single organization! (We’ve had DBMS for more than half a century, but have we achieved the integration we aimed at? What was missing?) – And now, on the Web: • Distributed, heterogeneous, in large scale, highly visible, large number of different users, …
Linked Open Data (LOD) – What is it all about? • Using standards • A very “fine-grain” representation (RDF triples) – Enables LINKING with flexibility! – Simple? – Powerful! • It has interoperability in its essence – RDF: Resource DESCRIPTION Framework » Created to interoperate METADATA! – Common understanding
Linked Open Data (LOD) – An exciting “new” way of publishing and consuming data! • The power of linking • The power of collaboration – Consumers are publishers too! • More and more data being generated and linked – Sensors – Web of things • Data and Metadata being explored together – Are some links more important than others? – Links between types; Data hubs • Querying AND Navegating AND Searching
Linked Open Governmental Data – It is not just about converting to a new flexible representation – It is important to be “linkable” – Descriptions are important • To know what it really means • To know where it comes from • To know what we have available • …. – Some data are more difficult to describe than others
Linked Open Governmental Data – Open is good! – Flexible is good! – Semantically interoperable is even better! • Having a “ data management approach” to Gov. LOD – The role of vocabularies, glossaries – The role of database schemas – Creating/using existing complementary metadata » e.g. Provenance metadata, voID – Creating/Exploring ontologies as reference models of a domain » Using Foundational Ontologies as a common ground A data quality – oriented Governmental LOD
But how long will it take?Will it ever happen? – Lessons learned from the past • Incremental, evolutionary • Agile, but planned – Estimulate initiatives • Learn by practicing! – Pilot projects • Evaluate feedback and impact – Observe standards and best practices from existing initiatives
Linked Open Governmental Data– Plan and act for the next steps • Capacitate – Not only on available technologies, but on reflecting about their use – There is a lot to be learned from different knowledge areas » Semantic web + databases and data management + AI + • What has worked, and also what has not worked • Define standards and strategies – In Brazil: » E-Ping, INDE, INDA
Linked Open Governmental Data But can we what have we learned from data management in the past? • To define priorities – There are very different kinds of data – Master and reference data need special attention – Statistical data is not trivial » Faceted or multidimensional, sampled, spatio-temporal heterogeous • To define strategies for building good reference models/ontologies – They are fundamental for interoperability – Conceptual modelling is important! • To support maintenance, lineage, evolution – LOD in the data management process of govern. institutions
Where universities can help• Forming• Developing, prototyping and experimenting new technologies, approaches, innovative applications• Partnerships (with government and private initiative) – Applying new approaches and technologies – Insights from different knowledge areas – Discussing perspectives and practices• Defining new and rescuing old trends!