ArticleJournal of the American Medical Informatics Association : JAMIA
iDASH: integrating data for analysis, anonymization, and sharing.
Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 2 of them syntheses that pooled 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.
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
73 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Natural Language Processing Applications in the Clinical Neurosciences: A Machine Learning Augmented Systematic Review.Acta neurochirurgica. Supplement · 2022Pooled it
- Clinical research data warehouse governance for distributed research networks in the USA: a systematic review of the literature.Journal of the American Medical Informatics Association : JAMIAPooled it
- Addressing contemporary threats in anonymised healthcare data using privacy engineering.NPJ digital medicine · 2025Review
- The evolving privacy and security concerns for genomic data analysis and sharing as observed from the iDASH competition.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- New Approach to Privacy-Preserving Clinical Decision Support Systems for HIV Treatment.Journal of medical systems · 2022Article
- Functional genomics data: privacy risk assessment and technological mitigation.Nature reviews. Genetics · 2022Review
- Benchmarking blockchain-based gene-drug interaction data sharing methods: A case study from the iDASH 2019 secure genome analysis competition blockchain track.International journal of medical informatics · 2021Article
- ACE: the Advanced Cohort Engine for searching longitudinal patient records.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Computational analysis of cardiac structure and function in congenital heart disease: Translating discoveries to clinical strategies.Journal of computational science · 2021Article
- Prognostic factors analysis for oral cavity cancer survival in the Netherlands and Taiwan using a privacy-preserving federated infrastructure.Scientific reports · 2020Article
- The anatomy of a distributed predictive modeling framework: online learning, blockchain network, and consensus algorithm.JAMIA open · 2020Article
- EXpectation Propagation LOgistic REgRession on permissioned blockCHAIN (ExplorerChain): decentralized online healthcare/genomics predictive model learning.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- Privacy-preserving model learning on a blockchain network-of-networks.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- Biomedical Data Sharing Among Researchers: A Study from Jordan.Journal of multidisciplinary healthcare · 2020Article
- The Potential of Blockchain Technology for Health Information Exchange: Experimental Study From Patients' Perspectives.Journal of medical Internet research · 2019Article
- Fair compute loads enabled by blockchain: sharing models by alternating client and server roles.Journal of the American Medical Informatics Association : JAMIA · 2019Article
- Data and knowledge management in translational research: implementation of the eTRIKS platform for the IMI OncoTrack consortium.BMC bioinformatics · 2019Article
- Comparison of privacy-protecting analytic and data-sharing methods: A simulation study.Pharmacoepidemiology and drug safety · 2018Article
- The development of large-scale de-identified biomedical databases in the age of genomics-principles and challenges.Human genomics · 2018Review
- Simplifying research access to genomics and health data with Library Cards.Scientific data · 2018Article
13 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
Abstract
iDASH (integrating data for analysis, anonymization, and sharing) is the newest National Center for Biomedical Computing funded by the NIH. It focuses on algorithms and tools for sharing data in a privacy-preserving manner. Foundational privacy technology research performed within iDASH is coupled with innovative engineering for collaborative tool development and data-sharing capabilities in a private Health Insurance Portability and Accountability Act (HIPAA)-certified cloud. Driving Biological Projects, which span different biological levels (from molecules to individuals to populations) and focus on various health conditions, help guide research and development within this Center. Furthermore, training and dissemination efforts connect the Center with its stakeholders and educate data owners and data consumers on how to share and use clinical and biological data. Through these various mechanisms, iDASH implements its goal of providing biomedical and behavioral researchers with access to data, software, and a high-performance computing environment, thus enabling them to generate and test new hypotheses.
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.