Modernizing SDI: Data Interoperability for Cumulative Effects CDS
For more information please contact the project lead - Terry Idol, Open Geospatial Consortium, Inc.
The primary question for the Concept Develop Study to explore is "How can an ocean of environmental, foundational/framework, biological, socio economic and other data, from multiple different sources, and with varying levels of standardization, readily consumable and integratable by scientists and citizens alike?"
Today, data is a currency. It holds incredible value. It is also massive and complex, especially considering the growing supply of sensor and Internet of Things data, along will petabytes of continuously created remotely sensed imagery. Data normalization, where it exists, occurs in domain-specific silos that lend no help to integrating data across domains. Data interoperability is the next challenge in spatial data infrastructure. In the cumulative effects analysis use case, data is sourced from a range of jurisdictions, sectors, domains, over time, and social/community context.
Geospatial data producers have grown adept at:
- describing their data using standardized metadata
- making it freely and openly available online, using unrestricted licensing, web services or APIs,
- collaborating across organizational and jurisdictional boundaries to standardize, produce and maintain framework data
In addition, data producers understand the role of open standards and policies to facilitate SDI technical interoperability, largely in the access and exchange of digital information.
Meantime, next generation standards, massive processing power and machine learning are all rapidly advancing capabilities. How do we, as geospatial data producers, prepare to leverage these new standards and tools to facilitate data harmonization and real data interoperability?
To answer these questions, the Concept Development Study will:
Explore and pinpoint current and emerging open international standards and standards-based technological capabilities that can advance geospatial data interoperability, within the context of data typically utilized for cumulative effects analysis, including, but not limited to:
GeoSemantics / Ontology
OpenAPI (WFS 3.0)
GeoPackage with embedded metadata
Blockchain for data and metadata authenticity
Cloud data storage / data lakes
AI / Machine learning / Machine reasoning that creative cohesive data fabrics
Concept Development Study will also include discussion and consideration of other standards and technologies emergent in the OGC community that support data interoperability, beyond the topics noted here, as appropriate to the discussion
Articulate architectural and technological requirements to enable increased data interoperability within an Engineering Report
Develop detailed project plan and schedule for a follow-on multi-jurisdictional data interoperability pilot for the purposes of testing possible solutions proposed in the Concept Development Study
Develop and deliver two webinars (one in English, one in French) based on the results of the Concept Development Study that inform geospatial data producers and stakeholders on:
Potential solutions for data interoperability based on these current and emerging standards and technologies
The relevance of each aspect of a next-generation approach to data interoperability, as noted above, as unique and critical building blocks towards data interoperability
Suggest forward direction for geospatial data producers to adopt and integrate new and emerging standards and technologies into their data architecture, data lifecycle and data dissemination processes
Calendar (all dates TBD):
February 2020 - Release Request for Information
June 2020 - Public Webinar I - English
June 2020 - Public Webinar II - French
June 2020 - Presentation of Results at OGC Technical Committee Meeting
July 2020 - CDS Final Report