Interoperability / FAIR Data : building on Standards and Best Practices to achieve it
Abstract
Lecture to ENSG – mastère GDM – 2023-01-20
The 1st presentation (1_Setting_the_scene_final_Grellet.pdf) lays the bases on interoperability to explain why we need interoperability :
- Harmonization of water observations data standards
- The need for standards
- Linked data registries and vocabularies - Data quality & interoperability thanks to semantics : this explains why do we need interoperability with geoscience example, space example and research example and after dream goal and interoperability
The document "2_INSPIRE_FAIR_principles_final_Grellet" explains:
- INSPIRE implementing rules : Discovery service, View service and Download service)
- FAIR principes : “Findble” - “Accessible” - “Interoperable” - “Reusable”
- Hindsight on those dynamics
The 3rd document presents the interoperability toolbox :
- Interoperability Challenges
- Standardisation of exchange methods
- Standardisation of content exchanged
- Semantic interoperability (UML, Semantic Web approaches)
Different logic and/or conceptual models are presented : GEOSCIML - GROUNDWATERML2 - SURFACE HYDROLOGY FEATURES - EARTHRESOURCEML - OBSERVATIONS, MEASUREMENTS & SAMPLES.
Then you can discover semantic Web approaches
- Technical interoperability (Through Webservices / API, Direct access to a resource)
The subject of this 4th document is to get to know :
- Observations, measurements and samples
- OGC SensorThings API Part 1
There are several examples of observations, measurements and samples.
After you will find information about OGC SensorThings API : context, data model, REST API, Marine example, Agronomy example, GroundWater example, client side
The 5th presentation shows how to put all this together in a project.
- Interoperable / FAIR data in a project : How ?
- The FAIR ecosystem
- Integration in a project with examples
- Environmental observation use case - overview (The reference point: Observations & Measurements(O&M), RESTfulAPI implementingO&M : SensorThingsAPI, W3C Ontology«inspiredfrom» O&M» : SSN / SOSA)
- Environmentalobservation use case with vocabularies
- OMS level 1 and level 2 examples : surface water quantity
- EPOS : Multi-standards integration in an Enterprise Architect (EA) project
Fichier principal
1_Setting_the_scene_final_Grellet.pdf (5.26 Mo)
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2_INSPIRE_FAIR_principles_final_Grellet.pdf (2.44 Mo)
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3_Interoperability_toolbox_final_Grellet.pdf (5.17 Mo)
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4_OMS_ST_API_final_Grellet.pdf (4.81 Mo)
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5_Putting_all_this_in_action_final_Grellet.pdf (6.3 Mo)
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Origin | Files produced by the author(s) |
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Origin | Files produced by the author(s) |
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Origin | Files produced by the author(s) |
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