Evolving the Brokering framework: from Open Data to Open Science Stefano Nativi (CNR-IIA, Dept. of Florence)
Exchanged Data Volume
EO Data Experts (IT experts)
Global Change Experts (Educators)
Policy Makers (Citizens)
Access
Re-use
Other Users
Observations
(Essential) Variables
Indicators
Semantic content
Targets/Indexes/ …
Inter
Discover
Interoperability Level
Data Experts
Environmental Experts (Practitioners)
Served Users
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Water
Resilience Coastline Food security Social Ocean Health
HP-Analytics Services
From Data to Knowledge Services
Cross Communities Fertilized Web Portal of practice Science
Open Science Services Data Generators
Users
Knowledge Base
APIs
Community support Services Content harmonization WKT and Knowledge generation APIs
Common Data Services Big Data Infrastructure Capacities
2.0
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Community support Services APIs: Community/Regional Pilots Community
Community
National
Regional
Regional GeoPortal
Regional
Community
Regional 4
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From Data to Knowledge management Data
Knowledge
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DIKW Pattern
(understand)
Who, What, Where
(understand)
How
(undesrtand)
What if ….
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The Domain and Co-domain types (Info Space)
Data... is raw. It simply exists and has no significance beyond its existence (in and of itself). It can exist in any form, usable or not. It does not have meaning of itself
Information... is data that has been given meaning by way of relational connection. This "meaning" can be useful, but does not have to be
Knowledge … is the appropriate collection of information, such that it's intent is to be useful
Different for each Societal Benefit Areas (SBAs)
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WISDOM
KNOWLEDGE
INFORMATION
Principles
Patterns
Relations DATA
Operators, BP/Workflow, .. (Data services)
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Global Changes (Information Space): From Data to Knowledge
From Data to Sustainable Development Goal (SDGs)
EO & Social Data
Data
SDGs
Information
Knowledge
Wisdom
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Example of «Integrated Modeling analysis» to generate an Indicator
Image time series processing for agriculture monitoring (NDVI Generation), [Herman Eerens et al., Environmental Modelling and Software]
Domain types
Data Service Types
CoDomain types
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Energy and Mineral Food Security and Resources Sustainable Agriculture Management Infrastructure and Transportation Management Public Health Surveillance
Disaster Resilience Biodiversity and Ecosystem Sustainability
Sustainable Urban Development
Water Resources Management
DOMAIN & Co-DOMAIN (Connecting)
DATA SERVICES (Understanding)
Knowledge Base
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Extending and Advancing the GCI Common Model (Ontology) GEOSS Common Infrastructure GEOSS Harmonized Metadata
GEOSS Providers Yellow Pages
GEOSS Knowledge Base
GCI Conceptual Model
Providers & Service Committment Description
Data Description
Data Use Description
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Conceptual Modeling: Overall View Data Domain
Blue Print Domain
Core Metadata Extended Metdata Observation Sensor Dataset Business Process Service ….
EVs & SDGs Domain
Societal Benefit Domain
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GEOSS Knowledge Base: Possible Definition A dynamic and evolvable information framework, organized as a repository of existing and distributed knowledge bodies, consisting of relations, patterns, rules, business processes and best practices to facilitate Information and Knowledge generation from Data
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Some Knowledge Body types
SBA Lexicon Thesauri, Vocabularies, Taxonomies, Ontologies, Gazetteers, … SBA EVs, Indicators, SDGs
Links between them Related applications …
SBA User Requirements User/Developer requirements, Model/System req.s, … User profiles … …. SBA Good Practices … SBA Well-Known Data Service Types …. SBA Blue prints/Models/Workflows/BPs … Environmental, Socio-economic, ….. Relevant Documentation Publications, User/Developer Feedbacks, Guidelines, Web pages, … …
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GEOSS Users GEOSS Applications GEOSS Applications Applications GEOSS Applications
GEOSS GEOSS Application Developers
GEOSS Common Governance GEOSS Common Infrastructure (GCI)
System 1 System 3
System System 2
4
….
System 3 System 1
System j
SBA 1 GEOSS resources Providers
System 4
System 2
….
….
GCI Providers
System System 1 System 3 4 System 2
….
System z
SBA n
System i
SBA 2
Genève, 06 April 2016
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Thank you ! Questions?
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