## Collect and Store

#### Collection

Now that your planning is complete, it's time to begin collecting your data. The tools you use to collect your data will differ depending on your project - for example you may use Qualtrics, an MRI machine, or a recording device.

Research is not only about the data itself but also hot it is collected. Documenting your data collection process is essential for reproducible research. Be diligent in recording the steps taken during data collection to correct your dataset.

This can include but is not limited to documenting:

- machine settings (e.g., calibration, parameters),
- specific hardware used (e.g., device model, serial number),
- methodology followed (e.g., procedures, protocols),
- decision made during data collection (e.g., protocol changes),
- software packages and versions used,
- anything that is relevant to understand how data was collected.

This not only allows others to replicate your process but also helps you understand your dataset later.

#### Storage

Where you store your data during the research process will be determined by the characteristics of your project and the data you will collect. The project's needs and data sensitivity play a large role in selecting the most suitable storage location. In a later chapter, we will explore the topic of secure and suitable data storage.