ArticleJournal of the American Medical Informatics Association : JAMIA2022
The Biomedical Research Hub: a federated platform for patient research data.
Article in Journal of the American Medical Informatics Association : JAMIA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed.
- HuBMAP Data Portal: a resource for multimodal spatial and single-cell data of healthy human tissues.ArXiv · 2026Article
- Managing, Analyzing and Sharing Research Data with Gen3 Data Commons.Scientific data · 2026Article
- A cross-consortium, stakeholder-driven model for implementing a modern electronic data capture and submission system across the Alzheimer's Disease Research Centers Program.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Multimodal data curation via interoperability: use cases with the Medical Imaging and Data Resource Center.Scientific data · 2025Article
- Enhancing Clinical Data Infrastructure for AI Research: Comparative Evaluation of Data Management Architectures.Journal of medical Internet research · 2025Article
- Implementing virtual desktops for clinical research at an academic health center: a case report.JAMIA open · 2024Article
- NCI Cancer Research Data Commons: Core Standards and Services.Cancer research · 2024Article
- Leveraging the Academic Artificial Intelligence Silecosystem to Advance the Community Oncology Enterprise.Journal of clinical medicine · 2023Article
- A roadmap to advance exposomics through federation of data.Exposome · 2023Article
- Efforts to enhance reproducibility in a human performance research project.F1000Research · 2023Article
- From biomedical cloud platforms to microservices: next steps in FAIR data and analysis.Scientific data · 2022Article
- Research data warehouse best practices: catalyzing national data sharing through informatics innovation.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Economical Utilization of Health Information with Learning Healthcare System Data Commons.Perspectives in health information managemen · 2022Article
- Lessons from federated networks for implementing the European health data space. Empirical study.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
26 authors.
Funding
Abstract
objectiveThe objective was to develop and operate a cloud-based federated system for managing, analyzing, and sharing patient data for research purposes, while allowing each resource sharing patient data to operate their component based upon their own governance rules. The federated system is called the Biomedical Research Hub (BRH). MATERIALS AND
methodsThe BRH is a cloud-based federated system built over a core set of software services called framework services. BRH framework services include authentication and authorization, services for generating and assessing findable, accessible, interoperable, and reusable (FAIR) data, and services for importing and exporting bulk clinical data. The BRH includes data resources providing data operated by different entities and workspaces that can access and analyze data from one or more of the data resources in the BRH.
resultsThe BRH contains multiple data commons that in aggregate provide access to over 6 PB of research data from over 400 000 research participants. DISCUSSION AND
conclusionWith the growing acceptance of using public cloud computing platforms for biomedical research, and the growing use of opaque persistent digital identifiers for datasets, data objects, and other entities, there is now a foundation for systems that federate data from multiple independently operated data resources that expose FAIR application programming interfaces, each using a separate data model. Applications can be built that access data from one or more of the data resources.
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.