ReviewBriefings in bioinformatics2019
Big data management challenges in health research-a literature review.
Review in Briefings in bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 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
27 citing papers in PubMed.
- i2b2-ML: module to facilitate machine learning in the informatics for integrating biology and the bedside platform.JAMIA open · 2026Article
- Evaluating the Effectiveness of Robotic Process Automation for Cancer Registry Data Abstraction in a Production EHR Environment.Journal of clinical medicine · 2026Article
- A novel translational bioinformatics framework for facilitating multimodal data analyses in preclinical models of neurological injury.Scientific reports · 2024Article
- Data Management in Biobanking: Strategies, Challenges, and Future Directions.Biotech (Basel (Switzerland)) · 2024Review
- Development of a Trusted Third Party at a Large University Hospital: Design and Implementation Study.JMIR medical informatics · 2024Article
- Studying military and Veteran health using a life-course approach: Lessons learned from a Canadian record linkage study.Journal of military, veteran and family health · 2024Article
- Strategies of Modelling Incident Outcomes Using Cox Regression to Estimate the Population Attributable Risk.International journal of environmental research and public health · 2023Article
- Explainable artificial intelligence and machine learning: novel approaches to face infectious diseases challenges.Annals of medicine · 2023Article
- Construction and experimental validation of a necroptosis-related lncRNA signature as a prognostic model and immune-landscape predictor for lung adenocarcinoma.American journal of cancer research · 2023Article
- medna-metadata: an open-source data management system for tracking environmental DNA samples and metadata.Bioinformatics (Oxford, England) · 2022Article
- Medical-Blocks-A Platform for Exploration, Management, Analysis, and Sharing of Data in Biomedical Research: System Development and Integration Results.JMIR formative research · 2022Article
- A review of harmonization methods for studying dietary patterns.Smart health (Amsterdam, Netherlands) · 2022Article
- Best practices in the real-world data life cycle.PLOS digital health · 2022Review
- Integrated network analysis reveals new genes suggesting COVID-19 chronic effects and treatment.Briefings in bioinformatics · 2021Article
- Article
- Cohort Identification for Translational Bioinformatics Studies.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Digital microbiology.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2020Review
- Understanding the complexities of digital dentistry integration in high-volume dental institutions.British dental journal · 2020Article
- Research data management in health and biomedical citizen science: practices and prospects.JAMIA open · 2020Article
- Guidelines for Data Acquisition, Quality and Curation for Observational Research Designs (DAQCORD).Journal of clinical and translational science · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Big data management for information centralization (i.e. making data of interest findable) and integration (i.e. making related data connectable) in health research is a defining challenge in biomedical informatics. While essential to create a foundation for knowledge discovery, optimized solutions to deliver high-quality and easy-to-use information resources are not thoroughly explored. In this review, we identify the gaps between current data management approaches and the need for new capacity to manage big data generated in advanced health research. Focusing on these unmet needs and well-recognized problems, we introduce state-of-the-art concepts, approaches and technologies for data management from computing academia and industry to explore improvement solutions. We explain the potential and significance of these advances for biomedical informatics. In addition, we discuss specific issues that have a great impact on technical solutions for developing the next generation of digital products (tools and data) to facilitate the raw-data-to-knowledge process in health research.
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.