Quantifying the Impact of Biobanks and Cohort Studies
Rodrigo Dorantes-Gilardi, Kerry Ivey, Lauren Costa, Rachael Matty,, Kelly Cho, John Michael Gaziano, Albert-L\'aszl\'o Barab\'asi

TL;DR
This study computationally analyzes 2,663 biobanks across various scientific outputs to understand their impact, focusing on collaboration, openness, and data quality, and provides insights to optimize their scientific and societal value.
Contribution
It offers a comprehensive, data-driven characterization of biobanks' impact, highlighting factors like openness and data quality that influence their scientific and societal contributions.
Findings
Research is concentrated on a few diseases like obesity and Alzheimer's.
Collaboration, not citation count, influences biobank recognition.
Impact correlates with openness and high-quality linked medical data.
Abstract
Biobanks advance biomedical and clinical research by collecting and offering data and biological samples for numerous studies. However, the impact of these repositories varies greatly due to differences in their purpose, scope, governance, and data collected. Here, we computationally identified 2,663 biobanks and their textual mentions in 228,761 scientific articles, 16,210 grants, 15,469 patents, 1,769 clinical trials, and 9,468 public policy documents, helping characterize the academic communities that utilize and support them. We found a strong concentration of biobank-related research on a few diseases, where 20\% of publications focus on obesity, Alzheimer's disease, breast cancer, and diabetes. Moreover, collaboration, rather than citation count, shapes the community's recognition of a biobank. We show that, on average, 41.1\% of articles miss to reference any of the biobank's…
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Taxonomy
TopicsEthics in Clinical Research · Biomedical Ethics and Regulation · Health Systems, Economic Evaluations, Quality of Life
MethodsFocus
