Difference between revisions of "Data Readiness"
From Earth Science Information Partners (ESIP)
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The goal of the Data Readiness Cluster is to bring together ESIP members and external partners to discuss advancements, define standards, and develop tools for open environmental data for artificial intelligence (AI) applications. The main goals of the cluster include: | The goal of the Data Readiness Cluster is to bring together ESIP members and external partners to discuss advancements, define standards, and develop tools for open environmental data for artificial intelligence (AI) applications. The main goals of the cluster include: | ||
| − | * Coordinate the development of the maturity matrix for AI-ready environmental data and promote the endorsement of national/international standards for AI-ready environmental data; | + | *Coordinate the development of the maturity matrix for AI-ready environmental data and promote the endorsement of national/international standards for AI-ready environmental data; |
| − | * Provide a platform for | + | *Provide a platform for stakeholders to exchange experiences of curating, managing, providing, and using AI-ready open environmental data; |
| − | * Promote technology and tool development to improve the readiness of open environmental data for | + | *Promote technology and tool development to improve the readiness of open environmental data for AI. |
The cluster will meet regularly to implement the roadmap co-designed by group members. This group will seek active collaboration with other groups within and beyond ESIP to ensure our work benefits the general environmental data community. The group will seek active collaboration with Machine Learning, Cloud Computing, and other relevant clusters. | The cluster will meet regularly to implement the roadmap co-designed by group members. This group will seek active collaboration with other groups within and beyond ESIP to ensure our work benefits the general environmental data community. The group will seek active collaboration with Machine Learning, Cloud Computing, and other relevant clusters. | ||
Revision as of 11:44, March 31, 2021
The goal of the Data Readiness Cluster is to bring together ESIP members and external partners to discuss advancements, define standards, and develop tools for open environmental data for artificial intelligence (AI) applications. The main goals of the cluster include:
- Coordinate the development of the maturity matrix for AI-ready environmental data and promote the endorsement of national/international standards for AI-ready environmental data;
- Provide a platform for stakeholders to exchange experiences of curating, managing, providing, and using AI-ready open environmental data;
- Promote technology and tool development to improve the readiness of open environmental data for AI.
The cluster will meet regularly to implement the roadmap co-designed by group members. This group will seek active collaboration with other groups within and beyond ESIP to ensure our work benefits the general environmental data community. The group will seek active collaboration with Machine Learning, Cloud Computing, and other relevant clusters.
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