Open data and Collaborative Governance (the UW lecture)
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This document provides biographical information about Yannis Charalabidis, including his educational and professional background. It notes that he has studied computer engineering and received a PhD in complex information systems from the National Technical University of Athens. It also outlines some of his research areas of expertise, including interoperability standards, service-oriented information systems, and electronic governance models. Finally, it discusses some of his current roles teaching at the University of the Aegean and heading research at the Greek Interoperability Centre.
Open data and Collaborative Governance (the UW lecture)
- 1. Yannis Charalabidis Assistant Professor, University of the Aegean Head of Research, Greek Interoperability Centre University of Washington, Seattle, 3rd December 2012
- 2. Your speaker for the day Studied computer engineering, at the National Technical University of Athens. PhD in complex information systems, NTUA 7 years a researcher in RTD projects for businesses and governments 7 years in the software industry (Greece, Netherlands, Germany Poland). Managing director of Baan- Singular ERP company Already 5 years in University of the Aegean and the Greek Interoperability centre, teaching and researching on eGovernance. The next 7 years ? My aim for the day: to give you food for thought. Hold on …
- 3. Activities Research in Greece and European Union (FP7/ICT, CIP/PSP, e-Infrastructures, REGPOT, LIFE, INTERREG, Greek CSF/RTD programmes) Industry-Academia programmes and projects (Student practice, industry-oriented theses, PhD research, targeted research) High-level, innovation-oriented consulting for Governments, and Businesses worldwide (typically in partnership with industry and other institutions) Scientific global-scale events organisation (WeGov Awards, The Samos Summit, Aegean Start-Ups) Dissemination and Training activities
- 4. Areas of Expertise 1. Unified Process and Data Modelling methodologies with emphasis in collaborative process modelling, advanced CCTS-based XML modelling, business process management, simulation methods and tools 2. Interoperability Standardisation and Application Frameworks, including National Standardisation Frameworks for businesses and governments, interoperability testing and demonstration platforms 3. Service-Oriented Information Systems for Businesses and Governments in Local, National and European level, including Electronic Services Portals, eGIS, eSCM, Service Registries and middleware components 4. Web 2.0 technologies for participative services, including mashups, social networking applications, enterprise 2.0 applications 5. Electronic Governance models and systems with the use of ontological representation and federated repositories for policy modelling, argumentation support, knowledge visualisation, legislation management
- 5. GIC International Network ALBANY Univ, US USC, US NIST, US SINTEF NCC TELIN FhG-FOKUS VUB I-VLAB SAP EPFL BoC UNINOVA UPV CNR GIC Syria Israel Collaborating Centres of Excellence in eGovernment & eBusiness Palestine Countries with user organisations
- 6. An exercise There is a photo of the class in twitter Can you retrieve it ?(search for #UWopendata or @yannisc) Then, you can post online questions in twitter using #UWopendata
- 7. ON OPEN DATA Open data is the idea that certain data should be freely available to everyone to use and republish as they wish, without restrictions from copyright,patents or other mechanisms of control. The goals of the open data movement are similar to those of other "Open" movements such as open source,open content, and open access … (wikipedia)
- 8. Why is Open Data important ? Organises public knowledge Leads to better, new services Fights against corruption Supports transparency Can motivate citizens Can contribute to better democracy Gives data to other sciences Gives ideas for start-ups
- 9. Can you give us some good examples ? Organises public knowledge : data.gov (UK) Leads to better, new services : data.gov (US) Supports transparency: diavgeia.gr (GR) Can motivate citizens: toronto.ca (CA) Fights against corruption : ipaidabribe.com (IN) Can contribute to better democracy: opengov (GR) Gives ideas for start-ups: Open Data Institute (UK) Provides data to science for solving complex problems of the society: ENGAGE (EU)
- 10. The ENGAGE EU project on Open Data A European e-Infrastructure, for advancing open data provision across countries and scientific communities, to solve complex societal problems To provide state of the art methods and tools for data gathering, curation, publication, maintenance A public-private partnership of research (Greek Interoperability Centre University Aegean, TU Delft, Fraunhofer FOKUS) industry (Microsoft, IBM, Intrasoft intl) and administrations from 5 EU countries www.engage-project.eu
- 11. The ENGAGE “Two-way” Open Data Usage Scenarios Delivering Public Sector Data to Researchers and Citizens Delivering Open Data Needs and guidelines to Public Sector Organisations
- 12. An Open Data Platform generic architecture Application Interface (for Various Apps Provision User Interface systems) (PC & mobile) Data Curation Processing (annotation, linking, formats) Data Visualisation Data Linking Data Acquisition Data Acquisition Acquisition UI API Directories of sources
- 13. Open Data Social Natural Sciences and Governance Platform architecture sciences ICT Engineering Law Policy Modelling Citizens User groups Single point of Access Providing PSI to Research and Industry Tailored data Governance and Citizens and research communities services policy making education and citizens in a personalised manner Search and Navigation tools Knowledge / Data Mining Collaboration / Communities Directory services and direct linking to Data Service Provision data archives Visualisation Data Personalisation Infrastructure - Analytics analytics Curating, Annotating, Harmonising , Data Quality Knowledge Mapping Automatic curation algorithms Data Curation Visualising Infrastructure Data Linking Semantic Annotation Anonymisation Harmonisation Public Sector Information Sources Gathering data from governmental Public Organisations, Repositories, Databases
- 14. The Global reach of ENGAGE
- 15. Challenges for Open Data Platforms Metadata schemas “2.0”: automated filling & self classification, multiple levels of abstraction for different user groups Develop auto-calculating new, metrics for open datasets: semantic closeness / distance, linking possibility, data quality will allow for automatically linking open data (A-LOD) Full API and SaaS operation: automated input and publication of open data “from the source” Novel ways of visualisation for open / linked data Build ecosystems around open data, for sharing and usage that can make our lives better, for
- 16. ON METADATA as it is used for two The term metadata is ambiguous, fundamentally different concepts (types). Although the expression "data about data" is often used, it does not apply to both in the same way. Structural metadata, the design and specification of data structures, cannot be about data, because at design time the application contains no data. In this case the correct description would be "data about the containers of data". Descriptive metadata, on the other hand, is about individual instances of application data, the data content.
- 17. Metadata provides the means for discovery of relevant datasets Metadata provides the context for understanding the dataset Metadata provides the restrictions on use of the dataset: rights, possibly costs Metadata provides the access to the dataset Metadata can assist in the further processing of the dataset(s) by providing information on data syntax (type, structure) and semantics (meaning) Metadata can record provenance (what has been done to the dataset) Metadata can record information for digital preservation to assure the future existence of the dataset Metadata can record user reaction to datasets: quality,
- 18. Conventional metadata for PSI (data.gov.xx) is: • Flat (lacking structure) • Inadequate for describing the context of the dataset • Inadequate for software processing of the dataset • Inadequate for scientific use of open data • Inadequate for automating linking • Inadequate for automating visualisation • But ... suitable for initial discovery
- 19. • In ENGAGE we shall provide: • Much more detailed metadata • With formal syntax (structure) and declared semantics (meaning) • From the world of research information • Congruent with the EC e-infrastructure and associated projects • Within an architecture allowing the end-user to • Use conventional PSI browsing and query • Semantic web / linked open data /Simple metadata • Access to datasets and limited processing / visualisation • Or use information system query, reporting, analysis, visualisation, simulation • Rich metadata / Full range of relational processing
- 20. We will try in the next slides to show you what is the level of expectation from metadata handling from a 2nd generation open data system
- 21. Imagine you are in front of the ENGAGE system, and you have your URI from a dataset, somewhere in the cloud, (copied as string in the clipboard) And begin …
- 22. Prescreening: User only gives URI of the dataset Enter (paste) the URI of your dataset _
- 23. (then for 30 seconds you see this screen, changing) Progress of ENGAGE Resource Prescreening: ( 45% ) of jobs completed Managed to : Identify xls file Autofill, provisionally: Title Autofill, provisionally: Creator Create unique ENGAGE URI Calculate keywords Autofill, provisionally: keywords … …
- 24. (When finishing import, the report) Report ENGAGE managed to automatically, provisionally fill in ( 21 ) of 43 metadata attributes for your dataset. Your current validity is at ( 45% ) For your dataset to be inserted in the database, you need to continue filling in ( 5 ) mandatory attributes. Your dataset will then be inserted with validity ( 55% ) If all ( 17 ) non-mandatory attributes are filled in, validity will be maximum, at 70% / limit of the insertion phase. Please select next action: Continue Park
- 25. After import … … and then, we enter the metadata insertion page with pre-filled data, etc. When we finish, we get a similar final report. When all metadata fields are filled- in, we can ask all types of queries for open data, at an international scale
- 26. Open data, collaborative governance and ICT will be key pillars of the new, value-based administration in this century Open data and applications can play an important role for entrepreneurship and development European Union member states, having already adopted a collaborative governance example, can now partner and work together with Gov 2.0 initiatives internationally In the Greek Interoperability Centre and the University of AEGEAN we can leverage on European experiences and best practices, delivering them worldwide
- 27. ON COLLABORATIVE GOVERNANCE Collaborative governance is a process and a form of governance in which participants (parties, agencies, stakeholders) representing different interests are collectively empowered to make a policy decision or make recommendations to a final decision-maker who will not substantially change consensus recommendations from the group
- 28. The Problem: Gap between Society and Governance Society: increasingly Governance: often interconnected, silos-based, linear, flexible, fast-evolving, obscure, hierarchical, unpredictable over-simplified Policies, Disciplines and Actors are isolated Policies Health R&D Social Disciplines Economics Mathematics ICT Actors Government Citizens Industry
- 29. "The problems that we have created cannot be solved at the level of thinking that created them" Albert Einstein So ?
- 30. More people involved (collaborative governance) 2020 2010 More accurate and analytical, modelin g and simulation tools More data available (open data)
- 32. “Hard” Web Technologies Systems & Services Web 2.0 Technologies Argument Visualization Public Sector Service Systems Mixed Reality Workflow Systems Pattern Recognition Enterprise Resource Management Serious Games Cloud computing Electronic Participation PS Knowledge Management Translation Systems Legal Structures Management Social Networks Business Intelligence Data & Opinion Mining Simulation Behavioral Modelling Forecasting - Backcasting Societal Modelling Optimization Social Simulation Systems Dynamics Adaptive Models Social Informatics Management Tools “Soft” Society Administration
- 33. Available for application Visibility Should be around, soon Service Co-creation / Web Services for all basic services Visual Analytics Will take many years Serious Games for Governance Linked Data Gov Cloud (SaaS) Dynamic, External Workflow Mgt Open data Legal Informatics (Seamless) Identity management & trust mechanisms Online Opinion Mining Internal, Static Workflow Mgt Government Service Utility Social Media in Policy Making (Automated) Argument Service Delivery Platforms Organisational Interoperability Visualisation Gov Cloud (IaaS) Participatory Sensing / IoT eParticipation Agent-based Societal Simulation Gov Cloud (PaaS) Model-Based eVoting Decision Making Instant, proactive Service Delivery for all services Semantic Interoperability Municipality Mobile Government Governance Model ERP Composability & Reuse Web Services /SOA in core registries Science Base Federated eID for ICT-enabled Governance Open Source Technical Interoperability Software for Service Mgt ICT-enabled historiography Inflated Expectations Disillusionment Productivity Readiness, over time
- 34. PADGETS: Policy Making through Social Media Interoperability www.padgets.eu ENGAGE: Open, Linked Governmental Data for scientists and citizens www.engage- project.eu NOMAD: Non-moderated opinion mining (the opinion web) www.nomad-project.eu CROSSOVER: New horizons in ICT-enabled governance www.crossover-project.eu
- 35. We need a totally different set of tools for evidence-based decision making by governments Societal Simulation, Data and Opinion Mining, Service Co-creation will be the next “big things” for governments that wish to make a difference We need to go beyond pure ICT approaches and embark in a multi-disciplinary journey. That’s why we need a science base for ICT-enabled Governance But most importantly …
- 36. eGovernance Research is about our children’s future: It is not enough to “do the things right” … we have to “do the right things”