NCI’s Cancer Data Science Course

With International Love Data Week 2025 just around the corner, you might be wondering how data science could be leveraged in your own cancer research projects. Luckily, the National Cancer Institute’s Center for Biomedical Informatics & Information Technology (CBIIT) has been developing some wonderful training resources designed to help clinical oncologists and cancer researchers build their basic cancer data science skills – see https://datascience.cancer.gov/training.

Whether you have the time available to dedicate to working through a multi-chapter video course or prefer the flexibility of jumping to particular topics of interest via the online training guides, there is something useful for all types of learners with different knowledge levels.

https://datascience.cancer.gov/training/learn-data-science

https://datascience.cancer.gov/training#howcan

https://datascience.cancer.gov/training/improve-data-science-skills

NCI’s basic skills video course is a great place for beginners to start. You can work through each chapter at your own pace, watching the videos, testing your knowledge, and exploring links to extensive lists of related materials. No registration required – just jump in and start learning – gaining data science skills as you go!

https://datascience.cancer.gov/training/improve-data-science-skills/video-course/chapter/data-science-myths

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NIH Common Data Element (CDE) Repository

The practice of re-using a research survey or measurement instrument (while respecting copyright and giving proper attribution) – especially a validated one – is a common one that everyone  (especially research funders) can agree makes research more efficient and cost-effective.  For example, anyone familiar with the REDCap electronic data capture tool is likely aware of the REDCap Shared Library that “is a repository for REDCap data collection instruments and forms that can be downloaded and used by researchers at REDCap partner institutions“. Even NIH survey materials like the NIH’s All of US Programs are available for download from there.



Even though a data collection instrument in its entirety often cannot satisfy the unique needs of an original research project, it is still useful to collect the commonly-used individual data elements/variables of an instrument in a consistent and standardized way (that other researchers are also adopting in their own projects) because this makes the data collected for diverse studies more interoperable (i.e. increases the potential for this information to be shared/combined in future research projects).

And “the use of particular standards to enable interoperability of datasets” is an important component of the 2023 NIH Data Management and Sharing Policy, which aligns with the FAIR data principles – see: 

“NIH has issued the Data Management and Sharing (DMS) policy (effective January 25, 2023) to promote the sharing of scientific data. Sharing scientific data accelerates biomedical research discovery, in part, by enabling validation of research results, providing accessibility to high-value datasets, and promoting data reuse for future research studies.

This brings us to the NIH Common Data Element (CDE) Repository, which is “hosted and maintained by the National Library of Medicine (NLM)”. To encourage the use of Common Data Elements (CDEs) and make it easier for researchers to identify CDEs that might be useful for their research project, NLM has created this searchable repository/catalog that users can freely access online.

Users can search for individual CDEs or multiple CDEs that are curated into Forms. The search can also be limited to NIH-Endorsed CDEs, which are CDEs that have “been reviewed and approved by an expert panel, and meet established criteria”. Furthermore, “NIH-recognized bodies (institutes, research initiatives, etc.) may submit CDEs to the NIH CDE Governance Committee for consideration for endorsement” via the Repository’s homepage – see: 

NIH Common Data Element (CDE) Repository – https://cde.nlm.nih.gov/home

From the NIH CDE Repository User Guide: https://cde.nlm.nih.gov/guides

“The NIH CDE Repository uses the Unified Medical Language System (UMLS) Terminology Service (UTS) Sign on Service which lets you set up an account and sign in using your NIH credentials, your account with a research organization, or a personal account such as Google, Microsoft, or Login.gov.

A user account is not required to browse the NIH CDE Repository, but when you are signed in, you will have expanded access to features. User account holders can create Boards and save CDEs and Forms to them, remember your preferences on all your devices, and if approved, become a curator, and view/manage your organization’s content. Users with NIH credentials can choose to see CDEs of any registration status – including previewing draft CDEs that have not yet been published.”

NLM also offers these CDE training options where you can learn more:

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Interactive Tools for Exploring Language Use

As per the U.S. Census (see: What Languages Do We Speak in the United States?):

“The number of people in the United States who spoke a language other than English at home nearly tripled from 23.1 million (about 1 in 10) in 1980 to 67.8 million (almost 1 in 5) in 2019, according to a recent U.S. Census Bureau report.”

Thanks to some interactive tools developed using data from the U.S. Census Bureau’s American Community Survey, it has never been easier to explore what languages are being spoken in different geographic areas of the United States. Below are some examples of some user-friendly, freely available tools that you may wish to check out.

  1. U.S Census Data Website

Among the various data profiles, tables and maps, tools and visualization options, is the interactive People That Speak English Less Than “Very Well” in the United States Interactive Map that can be queried using state and county information.

This data is available because the U.S. Census asks “about whether a person speaks a language other than English at home, what language he/she speaks, and how well he/she speaks English to create statistics about language and the ability to speak English”.

For example, searching for New York and Nassau County shows where in that area people with Limited English Proficiency (LEP) may live:

      2. Languages Spoken by People who have Limited English Ability
         (Web Map by Urban Observatory by Esri)

This is another tool that “shows the predominant language(s) spoken by people who have limited English speaking ability” using ArcGIS to again visualize the “American Community Survey data from the US Census Bureau by state, county, and tract”. This map allows you to visualize the data about what languages are being spoken by LEP individuals living around a particular street address or place.

For example, searching for “1101 Hempstead Tpke, Uniondale, NY, 11553, USA” returns:

     3. State Immigration Data Profiles

To get a better understanding of where foreign-born individuals are migrating from, their English proficiency and language spoken at home, the Migration Policy Institute also used U.S. Census data to create an interactive migration data hub tool that allows users to explore state immigration data profiles. You can click on the state of interest to view state-level “facts about immigrants to the U.S.”

Questions?  Ask Us at the MSK Library!