Modernizing SDI: Data Interoperability for Cumulative Effects CDS

For more information please contact the project lead - Ingo Simonis, Open Geospatial Consortium, Inc.

 

 

UPDATE: The Due Date for the Request for Information has been extended to June 19, 2020!

The Request for Information has been released:

The English pdf version can be located here: Request for Information on Modernizing SDI - pdf

The English HTML version can be located here: Request for Information on Modernizing SDI - html

The French pdf version can be located here: Request for Information on Modernizing SDI - pdf

The primary question for the Concept Develop Study (CDS) 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, be 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 (SDI). 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?

This CDS seeks to specifically identify standards-based solutions that enable data interoperability of key environmental data, from multiple jurisdictions, using emerging Internet-based technology like machine-learning/reasoning, data fabrics, data lakes, cloud services, OpenAPIs, and other evolving standards, technologies and tools. 

To answer these questions, the Concept Development Study will:

  • Gather lessons learned in data interoperability from other spatial data infrastructures - INSPIRE, Arctic SDI, etc.
  • Identify 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 to enhance data reusability
    • OpenAPI to increase Web-based data accessibility
    • GeoPackage with embedded metadata for online-offline data exchange
    • Self-describing data_ for greater data portability and analysis readiness
    • Blockchain_ for distributed validation of data and metadata authenticity
    • Cloud data storage / data lakes_ to provide critical points of interoperability
    • Machine learning and __inference_ to help create cohesive data fabrics from disparate data sources
  • Evaluate other standards and technologies emergent in the OGC community that support data interoperability, beyond the topics noted here, as appropriate to cumulative effects assessment
  • Articulate, in an engineering report, architectural and technological requirements to enable increased data interoperability
  • Develop a 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 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 (several dates TBD):

March 31, 2020 - Release Request for Information

June 19, 2020 (UPDATED) – Request for Information closes

June 2020 - Presentation Initial Results at OGC Technical Committee Meeting

August 28, 2020 (UPDATED) - CDS Final Report

September 2020 - Public Webinar I - English

September 2020 - Public Webinar II – French

September 2020 – Pilot CFP Release