Secondary Data Analysis: Lessons and perspective of a research parasite
Secondary data analysis refers to re-analyzing publicly available datasets to investigate the questions that original scientists had not posited. This helps in scientific progress by paving the path to more reliable and robust analyses and new research directions without any considerable expense. However, these datasets are anything but perfect, and researchers must investigate and assess the signal to noise ratio robustly to extract meaningful information. These efforts of rigorous secondary analysis are further recognized and supported by the Research Parasite Awards. As the 2020 Junior Research Parasite Award recipient, I share my journey and perspective of a research parasite in this commentary article.