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Year Number of Results
2011 1
2015 1
2021 0
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Biobank classification in an Australian setting.
Rush A, Christiansen JH, Farrell JP, Goode SM, Scott RJ, Spring KJ, Byrne JA. Rush A, et al. Biopreserv Biobank. 2015 Jun;13(3):212-8. doi: 10.1089/bio.2015.0007. Biopreserv Biobank. 2015. PMID: 26035012
In 2011, Watson and Barnes proposed a schema for classifying biobanks into 3 groups (mono-, oligo-, and poly-user), primarily based upon biospecimen access policies. We used results from a recent comprehensive survey of cancer biobanks in New South Wal …
In 2011, Watson and Barnes proposed a schema for classifying biobanks into 3 groups (mono-, oligo-, and poly-use …
A proposed schema for classifying human research biobanks.
Watson PH, Barnes RO. Watson PH, et al. Biopreserv Biobank. 2011 Dec;9(4):327-33. doi: 10.1089/bio.2011.0020. Epub 2011 Oct 3. Biopreserv Biobank. 2011. PMID: 24836628
To capture the degree of complexity, specialization, and diversity that exists among human research biobanks, we propose here a new classification schema achieved using a conceptual classification approach. ...We further propose that the subelements relating …
To capture the degree of complexity, specialization, and diversity that exists among human research biobanks, we propose here a new c …