ReviewCancer research2024
NCI Cancer Research Data Commons: Lessons Learned and Future State.
Review in Cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed.
- Big Data and Artificial Intelligence in Cancer Drug Discovery: Promise, Challenges, and Emerging Opportunities.Cancers · 2026Review
- Worldwide Innovative Network Consortium: Building a Common Global Cancer Database.JCO global oncology · 2026Review
- Where is the data? Delayed and chronic irAE surveillance and management after cessation of ICIs: expert insights from SITC on survivorship care and the need for long-term data.Journal for immunotherapy of cancer · 2026Article
- Integrated Platforms to Further Advance Space Biology Research.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Building Pediatric Cancer Cohorts and Accessing Data Using Childhood Cancer Data Initiative Tools.JCO clinical cancer informatics · 2025Article
- Cancer incidence data at the ZIP Code Tabulation Area level in the United States interpolated by Monte Carlo simulation with multiple constraints.Scientific data · 2025Article
- Robust Cluster Prediction Across Data Types Validates Association of Sex and Therapy Response in GBM.Cancers · 2025Article
- Building Portable and Reproducible Cancer Informatics Workflows for Scalable Data Analysis: An RNA Sequencing Tutorial.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Usage of the National Cancer Institute Cancer Research Data Commons by Researchers: A Scoping Review of the Literature.JCO clinical cancer informatics · 2024Article
- NCI's Proteomic Data Commons: A Cloud-Based Proteomics Repository Empowering Comprehensive Cancer Analysis through Cross-Referencing with Genomic and Imaging Data.Cancer research communications · 2024Article
- NCI Cancer Research Data Commons: Resources to Share Key Cancer Data.Cancer research · 2024Review
- NCI Cancer Research Data Commons: Cloud-Based Analytic Resources.Cancer research · 2024Review
- NCI Cancer Research Data Commons: Core Standards and Services.Cancer research · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
Abstract
More than ever, scientific progress in cancer research hinges on our ability to combine datasets and extract meaningful interpretations to better understand diseases and ultimately inform the development of better treatments and diagnostic tools. To enable the successful sharing and use of big data, the NCI developed the Cancer Research Data Commons (CRDC), providing access to a large, comprehensive, and expanding collection of cancer data. The CRDC is a cloud-based data science infrastructure that eliminates the need for researchers to download and store large-scale datasets by allowing them to perform analysis where data reside. Over the past 10 years, the CRDC has made significant progress in providing access to data and tools along with training and outreach to support the cancer research community. In this review, we provide an overview of the history and the impact of the CRDC to date, lessons learned, and future plans to further promote data sharing, accessibility, interoperability, and reuse. See related articles by Brady et al., p. 1384, Wang et al., p. 1388, and Pot et al., p. 1396.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.