Category Archives: About Resources

NCI’s Cancer Data Science Course

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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

Questions? Ask Us at the MSK Library!

2025 MeSH Update and PubMed Year-End Activities

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At the end of each year, the National Library of Medicine (NLM) produces their annual updates to PubMed’s MeSH (Medical Subject Headings). These changes are made at every level of the MeSH infrastructure, including descriptors (headings or terms), qualifiers (subheadings), and supplementary concepts, and are made in response to changes in scientific discovery, taxonomy, ethical considerations, and published literature. The National Library of Medicine describes the necessity of these changes as this: “In biomedicine and related areas, new concepts are constantly emerging, old concepts are in a state of flux and terminology and usage are modified accordingly. To accommodate these changes, descriptors must be added to, changed or deleted from MeSH with adjustments in the related hierarchies, the Tree Structures.”

Types of MeSH Changes

  • Added Terms — brand new terms added, either as MeSH headings or Supplementary Concepts that currently do not warrant a full heading
  • Modified Terms — MeSH concepts that were changed (either name or hierarchical location), also referred to the the “Preferred Term“
  • Replaced Terms — Descriptors or Supplementary concept terms are replaced by another term; this can include Supplementary Concepts upgraded to Descriptors as well as merged terms
  • Merged Terms — Multiple Descriptor or Supplementary concept terms combined under a single concept term
  • Combined Terms — Descriptor and Qualifier (subheading) combination made into a new separate concept
  • Deleted Terms — Descriptor or Supplementary concept terms removed, due to either being combined, upgraded, or renamed

What’s New in 2025

Artificial Intelligence

The 2025 Annual MeSH Update includes a variety of important and much-needed changes. One of the biggest and most needed expansions in the 2025 update is to the Artificial Intelligence concept, including dozens of new MeSH Descriptors found within the broader concept, including:

Publication types

Several changes were made to publication types for MeSH 2025, including two new publication types:

Note: The NLM has made an exception to their general rule of not retroactively indexing; so just as they did in 2019 when “Systematic Reviews” became a separate publication type, citations will be retroactively updated to reflect these two new publication types.

The Network Meta-Analysis publication type was previously a Descriptor (MeSH Heading); thus for existing citations, the Descriptor term (“Network Meta-Analysis”[MeSH]) will be replaced with either the “Network Meta-Analysis”[Publication Type] OR “Network Meta-Analysis as Topic”[Mesh] as appropriate. This is an important change, as it extends the scope of indexing the publication type back to the introduction of the original term in 2017.

The “Scoping Review”[Publication Type] will replace either the “Review”[Publication Type] or “Systematic Review”[Publication Type] on appropriate citations extending back to 2020, the first year this term appears in MEDLINE. Additionally, “Scoping Review as Topic”[Mesh] has been expanded from the “Review as a Topic”[Mesh] term.

Additionally, NLM will discontinue indexing following Publication Type terms:

Note: As with previously discontinued Publication Types, which include “Government Publication,” “Newspaper Article,” “Overall,” and “Scientific Integrity Review,” these Publication Types will continue to exist in MeSH, appear on existing citations, and be searchable in PubMed. However, they will no longer be applied to new citations.

How Does this Impact Searching?

Since there are so many changes to MeSH terms and structure, if you save search strategies or search alerts, or want to rerun a search that was previously conducted (such as from a systematic review), these changes may impact if and how your search strategy functions. Below are some steps to take to ensure that your search strategy is not only viable but also the best reflection of the current database.

  1. Check search viability — Run your search in PubMed and go to Advanced Search and check if there are issues being highlighted in the Details section. Terms that were removed or modified (name changed, upgraded, merged, etc.) will likely be in red. If your search is suddenly retrieving no results, this also could be the cause.
  2. Identify relevant new terms — Refer to the New MeSH Descriptors for 2025 list to see if there are any relevant terms that were added for 2025 that may make your search strategy more robust or specific.
  3. Identify replaced terms — Refer to the MeSH 2025 – Replace Report to identify any terms that were replaced by another term, upgraded to Descriptors, or consolidated with another term.
  4. Review publication types — Refer to the Annual MeSH Processing for 2025 NLM Bulletin for changes to publication types

If you have searches saved in your My NCBI account and/or you are getting PubMed e-mail alerts, or if you need to update your Systematic Review based on your previous search strategy, you may want to consult a Research Informationist to ensure your saved searches are not affected by the annual changes in the MeSH terminology. Don’t hesitate to ASK US!

Important Note from NLM Regarding Reindexing

Typically, the NLM does not retroactively re-index MEDLINE citations with new MeSH heading concepts. Therefore, searching PubMed for a new MeSH term tagged with [mh] or [majr] effectively limits retrieval to citations indexed after the term was introduced. Searchers may consult the MeSH database to see the previous indexing terms most likely used for a particular concept before the new MeSH heading was introduced. For terms without previous indexing information, consider the next broader term(s) in the MeSH hierarchy. or more searching guidance, see the on-demand class MeSH Changes and PubMed Searching.

NIH Common Data Element (CDE) Repository

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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:

Questions? Ask Us at the MSK Library!