Evidence map›Paper›PMID 39536277›Full record

ArticleJCO clinical cancer informatics2024

Usage of the National Cancer Institute Cancer Research Data Commons by Researchers: A Scoping Review of the Literature.

Zhaoyi Chen, Erika Kim, Tanja Davidsen, Jill S Barnholtz-Sloan

Abstract readScoping Review
In one paragraph

Article in JCO clinical cancer informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Zhaoyi ChenInformatics and Data Science Program, Center for Biomedical Informatics and Information Technology, National Cancer Institute, Rockville, MD.ORCID 0000-0002-4062-0867
Erika KimInformatics and Data Science Program, Center for Biomedical Informatics and Information Technology, National Cancer Institute, Rockville, MD.ORCID 0000-0001-8799-9029
Tanja DavidsenInformatics and Data Science Program, Center for Biomedical Informatics and Information Technology, National Cancer Institute, Rockville, MD.ORCID 0009-0006-5102-3116
Jill S Barnholtz-SloanInformatics and Data Science Program, Center for Biomedical Informatics and Information Technology, National Cancer Institute, Rockville, MD.ORCID 0000-0001-6190-9304

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeOver the past decade, significant surges in cancer data of all types have happened. To promote sharing and use of these rich data, the National Cancer Institute's Cancer Research Data Commons (CRDC) was developed as a cloud-based infrastructure that provides a large, comprehensive, and expanding collection of cancer data with tools for analysis. We conducted this scoping review of articles to provide an overview of how CRDC resources are being used by cancer researchers.

methodsA thorough literature search was conducted to identify all relevant publications. We included publications that directly cited CRDC resources to specifically examine the impact and contributions of CRDC by itself. We summarized the distributions and trends of how CRDC components were used by the research community and discussed current research gaps and future opportunities.

resultsIn terms of CRDC resources used by the research community, encouraging trends in utilization were observed, suggesting that CRDC has become an important building block for fostering a wide range of cancer research. We also noted a few areas where current applications are rather lacking and provided insights on how improvements can be made by CRDC and research community.

conclusionCRDC, as the foundation of a National Cancer Data Ecosystem, will continue empowering the research community to effectively leverage cancer-related data, uncover novel strategies, and address the needs of patients with cancer, ultimately combatting this disease more effectively.

Indexed as

National Cancer Institute (U.S.)NeoplasmsBiomedical ResearchDatabases, FactualHumansInformation DisseminationResearch PersonnelUnited States

Identifiers

PMID39536277
PMCPMC11575903

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.