Data Readiness

From Earth Science Information Partners (ESIP)
Revision as of 16:05, April 7, 2021 by User16 (talk | contribs)


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.

News

  • Welcome to the Data Readiness Cluster!



Archive

Activities

  • Cluster kick-off meeting (04/12 12PM ET) – use this Zoom link to join.

Get Involved

  • Contact Co-Chairs:
    • Yuhan (Douglas) Rao (yrao5 at ncsu dot edu)
    • Tyler Christensen (tyler dot christensen at noaa dot gov)
    • Rob Redmon (rob dot redmon at noaa dot gov)

Resources

  • Recording of 2021 ESIP Winter Meeting Session on AI-ready Data (link to YouTube).