SynthesisBMC public health2014
A systematic review of barriers to data sharing in public health.
Synthesis in BMC public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 263 papers, 7 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
263 citing papers in PubMed, 7 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
- Scoping review to assess the reach, effectiveness, and impact of government-funded, population-based physical activity initiatives in Australian adults.Frontiers in sports and active living · 2025Pooled it
- Ethical Challenges and Opportunities at the Intersection of One Health and Open Science in India: A Scoping Review.Open research Europe · 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
- Overlapping research efforts in a global pandemic: a rapid systematic review of COVID-19-related individual participant data meta-analyses.BMC health services research · 2023Pooled it
- Machine Learning for Dementia Prediction: A Systematic Review and Future Research Directions.Journal of medical systems · 2023Pooled it
- Changing patterns in reporting and sharing of review data in systematic reviews with meta-analysis of the effects of interventions: cross sectional meta-research study.BMJ (Clinical research ed.) · 2022Pooled it
- Use of an Electronic Health Record Algorithm to Identify Persons With Human Immunodeficiency Virus Out Of Care in United States Emergency Departments.Journal of the American College of Emergency Physicians open · 2026Article
- Attitudes of Longitudinal Study Participants and Members of the Public Towards Data Sharing for Secondary Research: A Survey Based Approach.Journal of empirical research on human research ethics : JERHRE · 2026Article
- FAIR by design (TRACE): A Trusted Research Access & Collaboration Environment.BMC medical informatics and decision making · 2026Article
- Growing CAPITOL 4 Life: A Case Study of Co-designed Material for the First 1000 Days Using a Modified Double Diamond Approach.Maternal and child health journal · 2026Article
- Linguistic Fidelity and Classification Performance of Large Language Models for Generating Synthetic Operative Notes: Evaluation Study.JMIR formative research · 2026Article
- Towards a decentralized future for open-science databases.Nature genetics · 2026Article
- Perceptions of voluntary horizontal confidential food safety data sharing: an exploratory interview study with food industry leadership.NPJ science of food · 2026Article
- Expanding the PHES-ODM: A Comprehensive, Open-Source Data Model for the Future of Wastewater-Based Epidemiology.Microorganisms · 2026Article
- HUPA: A corpus of disordered and normophonic voices in Castilian Spanish.Data in brief · 2026Review
- Clinical and HIV Surveillance Data to Determine Care Status for People With HIV in Washington, DC.Journal of acquired immune deficiency syndromes (1999) · 2026Article
- Article
- Open neuroinformatics infrastructure ecosystem for federated multisite studies.bioRxiv : the preprint server for biology · 2026Article
- Building trust in the integration of artificial intelligence into chemical risk assessment: findings from the 2024 ECETOC workshop.Archives of toxicology · 2026Article
203 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
8 authors.
Funding
Abstract
backgroundIn the current information age, the use of data has become essential for decision making in public health at the local, national, and global level. Despite a global commitment to the use and sharing of public health data, this can be challenging in reality. No systematic framework or global operational guidelines have been created for data sharing in public health. Barriers at different levels have limited data sharing but have only been anecdotally discussed or in the context of specific case studies. Incomplete systematic evidence on the scope and variety of these barriers has limited opportunities to maximize the value and use of public health data for science and policy.
methodsWe conducted a systematic literature review of potential barriers to public health data sharing. Documents that described barriers to sharing of routinely collected public health data were eligible for inclusion and reviewed independently by a team of experts. We grouped identified barriers in a taxonomy for a focused international dialogue on solutions.
resultsTwenty potential barriers were identified and classified in six categories: technical, motivational, economic, political, legal and ethical. The first three categories are deeply rooted in well-known challenges of health information systems for which structural solutions have yet to be found; the last three have solutions that lie in an international dialogue aimed at generating consensus on policies and instruments for data sharing.
conclusionsThe simultaneous effect of multiple interacting barriers ranging from technical to intangible issues has greatly complicated advances in public health data sharing. A systematic framework of barriers to data sharing in public health will be essential to accelerate the use of valuable information for the global good.
Indexed as
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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.