Kickoff of the 2024 International Training Workshop on Scientific Data and Technology
On November 18th, the 2024 International Training Workshop on Scientific Data and Technology was successfully commenced at the CAS Informatization Plaza. A selection of 21 international participants gathered in Beijing, chosen from over 300 applications.The workshop is jointly hosted by CODATA Chinese National Committee co-hosted by CODATA, Computer Network Information Center of the Chinese Academy of Sciences (CNIC, CAS) and National Basic Science Data Center. Prof. Lianglin HU, Secretary General of CODATA Chinese National Committee and Director of National Basic Science Data Center, chaired the opening ceremony.
Before 2024 Training Workshop, CODATA CNIC Training Workshop has been successfully held seven times since 2012. This year’s workshop focuses on enhancing capacity for Scientific Data Standards and Technology. During the opening remarks, Prof. Hui SUN, Director of the International Cooperation Bureau of the Chinese Academy of Sciences, Prof. Qiao Wang, Vice Director of Science and Technology Division of CNIC, CAS, which also houses the office for CODATA China Secretariat, also extended a warm welcome to all trainees. In addition, the following introductions from convenors CODATA gave trainees on insights of CODATA’s leadership and achievements in advancing global scientific data initiatives and CNIC, CAS introduced the information infrastructure and the practice of open sharing of scientific data. As highlighted, sharing and standardizing scientific data is a collective goal pursued by the global scientific community, the workshop presents valuable opportunity to enhance collaboration in Scientific Data Management, Standards and Technology among these worldwide trainees.
As scientific research intensifies and interdisciplinary collaboration increases, scientific data has become a vital catalyst for innovation. However, the diversity, complexity, and ever-growing volume of data pose significant challenges to data management, sharing, and analysis. To address these challenges, strengthening the construction of scientific data standards and the application of technology becomes particularly important.
More information about the 2024 International Training Workshop: http://intertraining2024.codata.cn/.