Collect & Create
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This phase involves gathering or generating research data through various methods, such as experiments, surveys, fieldwork, or simulations. Data creation should follow the standards and protocols established during the planning stage to ensure accuracy and consistency. Proper documentation is essential, as it helps track how data is generated, processed, and formatted. Researchers should also consider using metadata to describe their datasets, making them easier to interpret and manage later. This stage often requires specialized tools, instruments, or software to create high-quality, reliable datasets.