Securing the future of research computing in the biosciences
Leng, J.; Shoura, M.; McLeish, T.C.B.; Real, A.N.; Hardey, M.; McCafferty, J.; Ranson, N.A.; Harris, S.A.
Dr Alan Real email@example.com
Director Of Advanced Research Computing
Professor Mariann Hardey firstname.lastname@example.org
Improvements in technology often drive scientific discovery. Therefore, research requires sustained investment in the latest equipment and training for the researchers who are going to use it. Prioritising and administering infrastructure investment is challenging because future needs are difficult to predict. In the past, highly computationally demanding research was associated primarily with particle physics and astronomy experiments. However, as biology becomes more quantitative and bioscientists generate more and more data, their computational requirements may ultimately exceed those of physical scientists. Computation has always been central to bioinformatics, but now imaging experiments have rapidly growing data processing and storage requirements. There is also an urgent need for new modelling and simulation tools to provide insight and understanding of these biophysical experiments. Bioscience communities must work together to provide the software and skills training needed in their areas. Research-active institutions need to recognise that computation is now vital in many more areas of discovery and create an environment where it can be embraced. The public must also become aware of both the power and limitations of computing, particularly with respect to their health and personal data.
Leng, J., Shoura, M., McLeish, T., Real, A., Hardey, M., McCafferty, J., …Harris, S. (2019). Securing the future of research computing in the biosciences. PLoS Computational Biology, 15(5), Article e1006958. https://doi.org/10.1371/journal.pcbi.1006958
|Journal Article Type||Article|
|Acceptance Date||Apr 9, 2019|
|Publication Date||May 16, 2019|
|Deposit Date||Apr 29, 2019|
|Publicly Available Date||Apr 30, 2019|
|Journal||PLoS Computational Biology|
|Publisher||Public Library of Science|
|Peer Reviewed||Peer Reviewed|
Accepted Journal Article
Publisher Licence URL
Copyright: © 2019 Leng et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Published Journal Article
Publisher Licence URL
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