ReviewFrontiers in public health2017
Data Sharing: Convert Challenges into Opportunities.
Review in Frontiers in public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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
26 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Challenges and Opportunities for Data Sharing Related to Artificial Intelligence Tools in Health Care in Low- and Middle-Income Countries: Systematic Review and Case Study From Thailand.Journal of medical Internet research · 2025Pooled it
- Barriers impeding research data sharing on chronic disease prevention among the older adults in low-and middle-income countries: a systematic review.Frontiers in public health · 2024Pooled it
- OpenClustered: an R package with a benchmark suite of clustered datasets for methodological evaluation and comparison.BMC medical research methodology · 2025Article
- Determining what matters: data resources for examining maternal health equity.Frontiers in public health · 2025Article
- Article
- Review
- Review
- Metadata harmonization-Standards are the key for a better usage of omics data for integrative microbiome analysis.Environmental microbiome · 2022Article
- Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screening.NPJ digital medicine · 2022Article
- Centralized project-specific metadata platforms: toolkit provides new perspectives on open data management within multi-institution and multidisciplinary research projects.BMC research notes · 2022Article
- Findability of UK health datasets available for research: a mixed methods study.BMJ health & care informatics · 2022Article
- Sharing and Safeguarding Pediatric Data.Frontiers in genetics · 2022Article
- Artificial Intelligence in Medical Imaging and its Impact on the Rare Disease Community: Threats, Challenges and Opportunities.PET clinics · 2022Review
- The importance of adherence to international standards for depositing open data in public repositories.BMC research notes · 2021Article
- Sharing ICU Patient Data Responsibly Under the Society of Critical Care Medicine/European Society of Intensive Care Medicine Joint Data Science Collaboration: The Amsterdam University Medical Centers Database (AmsterdamUMCdb) Example.Critical care medicine · 2021Article
- Human OMICs and Computational Biology Research in Africa: Current Challenges and Prospects.Omics : a journal of integrative biology · 2021Article
- Knowledge and Attitudes Among Life Scientists Toward Reproducibility Within Journal Articles: A Research Survey.Frontiers in research metrics and analytics · 2021Article
- Data Dissemination: Shortening the Long Tail of Traumatic Brain Injury Dark Data.Journal of neurotrauma · 2020Review
- Issues and Challenges Associated with Data-Sharing in LMICs: Perspectives of Researchers in Thailand.The American journal of tropical medicine and hygiene · 2020Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Initiatives for sharing research data are opportunities to increase the pace of knowledge discovery and scientific progress. The reuse of research data has the potential to avoid the duplication of data sets and to bring new views from multiple analysis of the same data set. For example, the study of genomic variations associated with cancer profits from the universal collection of such data and helps in selecting the most appropriate therapy for a specific patient. However, data sharing poses challenges to the scientific community. These challenges are of ethical, cultural, legal, financial, or technical nature. This article reviews the impact that data sharing has in science and society and presents guidelines to improve the efficient sharing of research data.
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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.