Material for Data Curation
Discussion platform (select channel #e-ai_wg1_data_curation)
WG1s primary intention is to lower barriers in E-AI activities data usage by analysing available and missing data holdings, obstacles in using them, and creating examples of using and converting the data into a suitable form for Machine Learning. The considered applications cover weather forecasting (from nowcasting to seasonal), climate applications, and downstream products and services
The group does a gap analysis of used and missing data in AI/ML applications relevant to E-AI content, rcognising the datasets and considering why they are used or not used.
Participation is possible via
- Active participation (contribution to the work)
- Passive participations (information exchange via regular meetings)
Please contact us ([email protected]; [email protected]; [email protected]) if you are interested to
- contribute to the first deliverables
- contribute to the future work
- Join interest group