Data is the pillar of integrity in published research. How do journal editors detect integrity issues? How can publishers support integrity? A recent seminar for HKUST researchers brought up a good discussion.
Environment data poses specific challenges to researchers in data management. Networked sensors collect voluminous data that require systematic planning in workflow, storage and dissemination. Prof. NING Zhi (ENVR) illustrated good data practices with environment big data.
Increasingly, researchers are expected to actively manage their research data throughout the life-cycle of scholarly interest. Learning research data management best practices has become essential, especially for early career researchers.