Biobanks in the United States: how to identify an undefined and rapidly evolving population.
As part of a larger organizational study, we sought to survey biobanks in the United States. However, we encountered two problems with this population. First, no common definition of biobanks exists. Second, no census is available of these facilities from which to sample in order to implement a survey. In light of these problems, we employed a multifaceted approach using electronic searches of PubMed, RePORTER, and Google. In addition, we systematically searched for biobanks housed within universities that have NIH-designated Clinical and Translational Science Awards (CTSA). We expanded this part of the search by looking for biobanks among all members of the American Association of Medical Colleges (AAMC). Finally, we added banks to our database found previously by other researchers and banks found via correspondence with our colleagues. Our search strategy produced a database of 624 biobanks for which we were able to confirm contact information in order to conduct our online survey. Another 140 biobanks were identified but did not respond to our requests to confirm their existence or contact information. In order to maximize both the uniqueness of banks found and the greatest return on effort for each search, we suggest targeting resources that are already organized. In our work, these included the CTSA, AAMC, and part of the Google searches. We contend that our search provides a model for analysis of new fields of research and/or rapidly evolving industries. Furthermore, our approach demonstrates that with the appropriate tools it is possible to develop a systematic and comprehensive database to investigate undefined populations.
1 Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill , Chapel Hill, North Carolina.
Gregory J
GJ
Boyer
Warren
W
Whipple
R Jean
RJ
Cadigan
Gail E
GE
Henderson
D018070:Biological Specimen Banks / Q000458:organization & administration* / Q000592:standards*; D003625:Data Collection; D019992:Databases as Topic; D006801:Humans; D008962:Models, Theoretical; D057170:Translational Research, Biomedical; D014481:United States