Which of the following is not considered a common pitfall in data collection?

The selection of "forgetting where you put the data" as the answer indicates an understanding of what constitutes common pitfalls in data collection practices. While effective data collection can be hindered by various factors, the physical misplacement of data does not directly relate to the methodological or analytical processes essential for proper data handling.

Common pitfalls like failing to document data collection methods, omitting important data categories, and ignoring data validation processes all directly affect the integrity, accuracy, and usability of the dataset. Documenting data collection methods ensures reproducibility and transparency, while omitting critical data categories can lead to incomplete analyses and biased conclusions. Ignoring validation processes can result in accepting incorrect or unreliable data, undermining the entire data collection effort.

In contrast, forgetting where the data is stored does not typically affect the quality of the data itself or the process it underwent during collection. Instead, it indicates organizational issues rather than flaws in the data collection methodology. Thus, while it is a logistical concern, it does not align with the principal pitfalls that compromise data integrity and quality.