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Biobanking in the 21st Century

Overview of attention for book
Attention for Chapter 13: A Data-Centric Strategy for Modern Biobanking
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Chapter title
A Data-Centric Strategy for Modern Biobanking
Chapter number 13
Book title
Biobanking in the 21st Century
Published in
Advances in experimental medicine and biology, January 2015
DOI 10.1007/978-3-319-20579-3_13
Pubmed ID
Book ISBNs
978-3-31-920578-6, 978-3-31-920579-3
Authors

Philip R. Quinlan, Stephen Gardner, Martin Groves, Richard Emes, Jonathan Garibaldi, Quinlan, Philip R., Gardner, Stephen, Groves, Martin, Emes, Richard, Garibaldi, Jonathan

Abstract

Biobanking has been in existence for many decades and over that time has developed significantly. Biobanking originated from a need to collect, store and make available biological samples for a range of research purposes. It has changed as the understanding of biological processes has increased and new sample handling techniques have been developed to ensure samples were fit-for-purpose.As a result of these developments, modern biobanking is now facing two substantial new challenges. Firstly, new research methods such as next generation sequencing can generate datasets that are at an infinitely greater scale and resolution than previous methods. Secondly, as the understanding of diseases increases researchers require a far richer data set about the donors from which the sample originate.To retain a sample-centric strategy in a research environment that is increasingly dictated by data will place a biobank at a significant disadvantage and even result in the samples collected going unused. As a result biobanking is required to change strategic focus from a sample dominated perspective to a data-centric strategy.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 7%
Unknown 14 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 27%
Student > Ph. D. Student 3 20%
Professor > Associate Professor 2 13%
Lecturer 1 7%
Lecturer > Senior Lecturer 1 7%
Other 2 13%
Unknown 2 13%
Readers by discipline Count As %
Computer Science 3 20%
Medicine and Dentistry 2 13%
Agricultural and Biological Sciences 2 13%
Biochemistry, Genetics and Molecular Biology 1 7%
Business, Management and Accounting 1 7%
Other 3 20%
Unknown 3 20%