ArticleJournal of big data
Sharing big biomedical data.
Article in Journal of big data. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- A guide to developing harmonized research workflows in a team science context.Experimental neurology · 2025Review
- Emerging Molecular Technology in Cancer Testing.EJIFCC · 2024Review
- Implementation of cloud computing in the German healthcare system.NPJ digital medicine · 2024Review
- Where Do We Stand in Regularization for Life Science Studies?Journal of computational biology : a journal of computational molecular cell biology · 2022Article
- Orchestrating and sharing large multimodal data for transparent and reproducible research.Nature communications · 2021Article
- Genetic Testing and Surveillance of Young Breast Cancer Survivors and Blood Relatives: A Cluster Randomized Trial.Cancers · 2020Article
- Machine learning-based lifetime breast cancer risk reclassification compared with the BOADICEA model: impact on screening recommendations.British journal of cancer · 2020Article
- The opportunities and shortcomings of using big data and national databases for sarcoma research.Cancer · 2019Review
- Machine learning techniques for personalized breast cancer risk prediction: comparison with the BCRAT and BOADICEA models.Breast cancer research : BCR · 2019Article
- The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services.Scientific data · 2019Article
- Future cancer research priorities in the USA: a Lancet Oncology Commission.The Lancet. Oncology · 2017Review
- The Scope of Big Data in One Medicine: Unprecedented Opportunities and Challenges.Frontiers in veterinary science · 2017Review
- The Image and Data Archive at the Laboratory of Neuro Imaging.NeuroImage · 2016Article
- Big data and tactical analysis in elite soccer: future challenges and opportunities for sports science.SpringerPlus · 2016Review
- Methodological challenges and analytic opportunities for modeling and interpreting Big Healthcare Data.GigaScience · 2016Review
- Towards exergaming commons: composing the exergame ontology for publishing open game data.Journal of biomedical semantics · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
backgroundThe promise of Big Biomedical Data may be offset by the enormous challenges in handling, analyzing, and sharing it. In this paper, we provide a framework for developing practical and reasonable data sharing policies that incorporate the sociological, financial, technical and scientific requirements of a sustainable Big Data dependent scientific community.
findingsMany biomedical and healthcare studies may be significantly impacted by using large, heterogeneous and incongruent datasets; however there are significant technical, social, regulatory, and institutional barriers that need to be overcome to ensure the power of Big Data overcomes these detrimental factors.
conclusionsPragmatic policies that demand extensive sharing of data, promotion of data fusion, provenance, interoperability and balance security and protection of personal information are critical for the long term impact of translational Big Data analytics.
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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.