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This refers to all types of data, including both structured and unstructured data, and data from different domains as diverse as geospatial data, statistical data, weather data, industrial data, public sector information and research data, to name just a few.

Researchers and research institutions co operate with each other across national borders and a high proportion of scientific publications include co authors from different countries. Maintaining a well functioning international research ecosystem is an important focus for science policy.

Download Open Datasets on 1000s of Projects Share Projects on One Platform. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. Flexible Data Ingestion.

It ensures effective management of data assets, integrates data priorities into strategic initiatives, promotes compliance with data governance principles, and fosters collaboration among data officers across the Alliance to address challenges and oversee policy implementation.

RISIS develops and integrates 15 datasets, which include bibliometric data, data on patents, trademarks, investment in research and innovation, data on international scientific collaboration, and much other information relevant to the field of Science, Technology and Innovation.

The goal of this session was to examine how connecting data governance and stewardship efforts across organizations can enhance data interoperability and maximize overall impact of Earth science data.

What are the options for international cooperation in quantum science and technology or other emerging technologies that may bring national competitive advantages but also global societal benefits?

Interoperability is the ability to access and process data from multiple sources without losing meaning and then integrate that data for mapping, visualization, and other forms of representation and analysis. Interoperability enables people to find, explore, and understand the structure and content of datasets.

Connected and interoperable repositories with common standards can enhance the global knowledge base and improve access through trusted hubs that ensure quality and security.

Five areas have been identified as critical ‘factors’ needed to move towards greater interoperability of EO datasets. Each factor has several components. The factors together should cover all aspects that play a role in enabling interoperability of geospatial data and information.

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