Data Readiness

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 2021-07: Cluster releases the problem statement and cluster work plan. AI-ready data session during 2021 ESIP annual meetings (January; July) AI-ready data session during 2022 ESIP annual meetings (January)

Get Involved Email List: esip-datareadiness@lists.esipfed.org Monthly meeting: 3rd Tuesday of each month (1-2 pm ET; Zoom link to the meeting) Contact Co-Chairs: Douglas Rao (douglas dot rao at noaa dot gov) Tyler Christensen (tyler dot christensen at noaa dot gov)

Resources Cluster meeting notes - 2021; 2022 Cluster problem statement (Beta) Cluster work plan (Beta) Monthly meeting recordings (link to GDrive)