For many years, the stumbling block for funders like ICRP, researchers and institutions was that there was no clear way to categorize the cancer-related grants awarded or the findings they funded. This made conducting any kind of meaningful data analysis a challenge.<\/p>\n\n\n\n
In response, the ICRP launched the CSO \u2013 Common Scientific Outline \u2013 coding system; it contains 34 codes organized into six broad areas of scientific interest in cancer research:<\/p>\n\n\n\n
- \n
- Biology<\/li>\n\n\n\n
- Etiology<\/li>\n\n\n\n
- Prevention<\/li>\n\n\n\n
- Early Detection, Diagnosis & Prognosis<\/li>\n\n\n\n
- Treatment<\/li>\n\n\n\n
- Cancer Control, Survivorship & Outcomes<\/li>\n<\/ul>\n\n\n\n
The CSO is complemented by a series of codes describing the cancer type. The codes for both can be applied to many forms of data \u2013 in the case of publications, for example, they are determined by looking at the text the researcher has used to describe their research, e.g. the award title, lay and\/or scientific abstract and keywords (where available).<\/p>\n\n\n\n
The big advantage of the ICRP CSO system is that it provides a common language for comparing and contrasting the research portfolios of agencies, whether they are public, philanthropic, or government-run.<\/p>\n\n\n\n
CSO and Dimensions<\/h2>\n\n\n\n
We use machine learning technology to automate classification; training and refining the algorithm with pre-coded documents and the input of ICRP subject matter experts.<\/p>\n\n\n\n
Unlike other databases, Dimensions doesn\u2019t use a journal classification approach, which has allowed us to include non-journal related records, such as grants.<\/p>\n\n\n\n
As a result, we\u2019ve now taken the next logical step and applied the ICRP CSO coding to all cancer research-related records among the 100 million publications, 2.4 million grants, clinical trials, policy documents, and patents that Dimensions is home to.<\/p>\n\n\n\n
Deeper exploration of cancer research<\/h2>\n\n\n\n
Users of Dimensions Analytics are now able to explore and understand cancer research-related funding and publications in a much deeper way. For example, they can compare the activities of funders, universities, countries, and researchers (see figures 1 and 2).<\/p>\n\n\n\n
![\"\"\/](\"https:\/\/www.dimensions.ai\/wp-content\/uploads\/2019\/06\/image-4-768x797-1.png\")
Figure 1: A Dimensions screenshot contrasting CSO-categorized publications by researchers at the University of Oxford and University of Cambridge in the UK. Oxford is more active in the area of \u2018Systemic Therapies \/ Clinical application\u2019, while Cambridge is more dominant in the early stages and genetic causes of Leukemia development, e.g. \u2018Cancer Initiation: Alterations in Chromosomes\u2019.<\/figcaption><\/figure>\n\n\n\n <\/p>\n\n\n\n
![\"\"](\"https:\/\/www.dimensions.ai\/wp-content\/uploads\/2022\/06\/Screenshot-2025-07-23-131146-1024x553.png\")
Figure 2: Select UK universities and their outputs in the CSO categories relevant to clinical treatment of Leukemia \u2013 important information for patients.<\/figcaption><\/figure>\n\n\n\n How to filter using the ICRP categories<\/h2>\n\n\n\n
Whether searching publications, grants, patents, clinical trials, or policy documents, Dimensions Analytics users will find a filter called \u2018Research categories\u2019 in the left hand column. Clicking on it opens out a list of six options (see figure 3). These include the two new ICRP-related filters:<\/p>\n\n\n\n
- \n
- ICRP Cancer Types: Lists more than 60 cancer types determined by a coding system linked to the World Health Organization\u2019s International Classification of Diseases.<\/li>\n\n\n\n
- ICRP Common Scientific Outline (CSO): The 34 CSO codes organized into six broad categories of scientific interest in cancer research.<\/li>\n<\/ul>\n\n\n\n
Users can filter and browse on these ICRP categories and their sub-categories, or use them to refine search results.<\/p>\n\n\n\n
![\"\"](\"https:\/\/www.dimensions.ai\/wp-content\/uploads\/2022\/06\/web5-1024x576.png\")
Figure 3: The two new ICRP classifications appear under \u2018Research categories\u2019 in the left hand column.<\/figcaption><\/figure>\n\n\n\n The ICRP classifications are not the only field-specific categories integrated into Dimensions Analytics \u2013 we also include the NIH\u2019s RCDC system<\/a> and the HRCS system<\/a> from the UK.<\/p>\n\n\n\n
Talk to us and learn how we can help your research<\/h2>\n\n\n\n
Are you interested in finding out how Dimensions can benefit your organisation? Please contact us<\/a> and we\u2019ll be in touch soon.<\/p>\n\n\n\n
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