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A dataset on survey designs and quality of social and behavioral science surveys during the COVID-19 pandemic.

Tobias GummerThomas SkoraKarolina von GlasenappElias Naumann
Published in: Scientific data (2024)
In the social and behavioral sciences, surveys are frequently used to collect data. During the COVID-19 pandemic, surveys provided political actors and public health professionals with timely insights on the attitudes and behaviors of the general population. These insights were key in guiding actions to fight the pandemic. However, the data quality of these surveys remains unclear because systematic knowledge about how the survey data were collected during the COVID-19 pandemic is lacking. This is unfortunate, since decades of survey research have shown that survey design impacts data. Our Survey Data Collection and the COVID-19 Pandemic (SDCCP) project deals with this research gap. We collected rich metadata on survey design for 717 social and behavioral science surveys carried out in Germany during the first two years of the COVID-19 pandemic. In this data descriptor, we present a unique resource for a systematic assessment of the survey data collection practices and quality of surveys conducted in Germany during the COVID-19 pandemic.
Keyphrases
  • cross sectional
  • electronic health record
  • healthcare
  • big data
  • public health
  • quality improvement
  • primary care
  • sars cov
  • emergency department
  • data analysis
  • drug induced