Impact of caBIG on the European cancer community
The cancer Biomedical Informatics Grid (caBIG) was launched in 2003 by the US National Cancer Institute with the aim of connecting research teams through the use of shared infrastructure and software to collect, analyse and share data. It was an ambitious project, and the issue it aimed to address w...
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Cancer Intelligence
2011
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3223955/ |
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pubmed-3223955 |
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pubmed-32239552012-01-24 Impact of caBIG on the European cancer community Warden, R Policy The cancer Biomedical Informatics Grid (caBIG) was launched in 2003 by the US National Cancer Institute with the aim of connecting research teams through the use of shared infrastructure and software to collect, analyse and share data. It was an ambitious project, and the issue it aimed to address was huge and far-reaching. With such developments as the mapping of the human genome and the advancement of new technologies for the analysis of genes and proteins, cancer researchers have never produced so much complex data, nor have they understood so much about cancer on a molecular level. This new ‘molecular understanding’ of cancer, according to the caBIG 2007 ‘Pilot Report’[1], leads to molecular or ‘personalised’ medicine being the way forward in cancer research and treatment, and connects basic research to clinical care in an unprecedented way. But the former ‘silo-like’ nature of research does not lend itself to this brave new world of molecular medicine—individual labs and institutes working in isolation, “in effect, as cottage industries, each collecting and interpreting data using a unique language of their own”[2] will not advance cancer research as it should be advanced. The solution proposed by the NCI in caBIG was to produce an integrated informatics grid (‘caGrid’) to incorporate open source, open access tools to collect, analyse and share data, enabling everyone to use the same methods and language for these tasks. Cancer Intelligence 2011-10-03 /pmc/articles/PMC3223955/ /pubmed/22276064 http://dx.doi.org/10.3332/ecancer.2011.225 Text en Copyright: © the authors; licensee ecancermedicalscience. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| repository_type |
Open Access Journal |
| institution_category |
Foreign Institution |
| institution |
US National Center for Biotechnology Information |
| building |
NCBI PubMed |
| collection |
Online Access |
| language |
English |
| format |
Online |
| author |
Warden, R |
| spellingShingle |
Warden, R Impact of caBIG on the European cancer community |
| author_facet |
Warden, R |
| author_sort |
Warden, R |
| title |
Impact of caBIG on the European cancer community |
| title_short |
Impact of caBIG on the European cancer community |
| title_full |
Impact of caBIG on the European cancer community |
| title_fullStr |
Impact of caBIG on the European cancer community |
| title_full_unstemmed |
Impact of caBIG on the European cancer community |
| title_sort |
impact of cabig on the european cancer community |
| description |
The cancer Biomedical Informatics Grid (caBIG) was launched in 2003 by the US National Cancer Institute with the aim of connecting research teams through the use of shared infrastructure and software to collect, analyse and share data. It was an ambitious project, and the issue it aimed to address was huge and far-reaching. With such developments as the mapping of the human genome and the advancement of new technologies for the analysis of genes and proteins, cancer researchers have never produced so much complex data, nor have they understood so much about cancer on a molecular level. This new ‘molecular understanding’ of cancer, according to the caBIG 2007 ‘Pilot Report’[1], leads to molecular or ‘personalised’ medicine being the way forward in cancer research and treatment, and connects basic research to clinical care in an unprecedented way. But the former ‘silo-like’ nature of research does not lend itself to this brave new world of molecular medicine—individual labs and institutes working in isolation, “in effect, as cottage industries, each collecting and interpreting data using a unique language of their own”[2] will not advance cancer research as it should be advanced. The solution proposed by the NCI in caBIG was to produce an integrated informatics grid (‘caGrid’) to incorporate open source, open access tools to collect, analyse and share data, enabling everyone to use the same methods and language for these tasks. |
| publisher |
Cancer Intelligence |
| publishDate |
2011 |
| url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3223955/ |
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1611489912962416640 |