De-Identified Data Limitations: Why Seasonal Studies Are Impossible

De-Identified Data Limitations: Why Seasonal Studies Are Impossible

What kinds of studies cannot be completed with de-identified data?

Economic studies that require individual-level data, such as those involving analysis of income, employment, and education outcomes. Additionally, studies that involve tracking individuals over time using unique identifiers (such as social security numbers) may also require identifiable data. Other types of studies that may require identifiable data include clinical trials, genetic research, and studies on vulnerable populations (such as children or refugees).

Why can't seasonal studies be performed with de-identified data?

Because safe-harbor de-identification removes dates except for year.

This limitation makes it impossible to analyze data based on specific months or seasons, which is crucial for seasonal studies. While de-identified data offers valuable insights, it cannot be used for research requiring precise date information.

In Conclusion:

De-identified data presents a valuable resource for research, but limitations exist. Understanding these limitations helps researchers select appropriate data sources and methodologies to ensure the success of their studies.