Data collaborative report: Session 1

作者：Andrea Gardeazabal, Medha Devare, Kate Dreher, Jawoo Koo, David Eduardo Garcia Lopez, Marie-Angelique Laporte, H. Juarez, David Ramirez, Samar Attaher, Jean-Baka Domelevo Entfellner, Dehner M. De Leon, Enrico Francisco Mercado, Michael Reyes, Javier Rinza, M. A. Burac, Alaine Gulles, Leroy Mwanzia, Mariangel Garcia Andarcia, Simon Fonteyne, Aubin Amagnide, Bert De Boeck, Khaled Al-Sham'aa, Anitha Raman, Simon Imoro, Elizabeth J. Poole, May Ann Sallan, Daniel Jiménez, Kai Sonder, Shalini Gakhar, Eng Hwa Ng, Ram Dhulipala, Ando M. Radanielson, Ajit Govind, Ibrahim Ali, Carlo Azzarri, Michael Angelo Rayco, Marichu Bernardo, Joie Ramos, Revathi Kollegala, Sankalp Bhosale · 发表于：CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research) · 年份：2025 · 研究领域：Computer science、World Wide Web、Data science、Human–computer interaction、Knowledge management

The Data Collaborative is CGIAR’s first Center of Excellence under the Digital Transformation Accelerator (DTA), established to strengthen data governance, interoperability, and reuse across Centers, science programs, and domains. The Collaborative responds to a shared recognition that while CGIAR generates a large volume of high-quality scientific data, inconsistencies in variables, metadata, and practices limit interoperability, FAIRness, and AI-readiness.