When a research deadline is looming, staying organized is key. 1.Break tasks into smaller steps 2. Prioritize essential data 3. Use digital tools to track progress efficiently. Focus and structured planning help manage the workload effectively.

Prioritize tasks based on urgency and impact. Organize data systematically, delegating where possible. Set clear milestones, focusing on essential analyses first. Minimize distractions, use automation for repetitive tasks, and maintain regular check-ins to stay on track.

The simplest way is 1. identifying the key goals. 2.prioritise the goals 3. Arrange the steps in sequence to achieve goals 4. Assign to most efficient team members 5. Regular follow and revisit each step for success

I agree with all of these strategies but would add one more: Spend time everyday working with your data. As both researcher and mentor of students, I often find that data analysis is "put off" (maybe not the most fun task). However, like writing, you should have a schedule and attend to data analysis tasks throughout the research life cycle.

All of these are great strategies that I use! I also keep track of time spent on different tasks on my work calendar to help me assess how much time I am spending on different tasks. This helps me plan ahead and strategize for upcoming deadlines and commitments outside of research.