ArticleEGEMS (Washington, DC)2018
A Solutions-Based Approach to Building Data-Sharing Partnerships.
Article in EGEMS (Washington, DC), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Considerations and recommendations for collaborative research networks in epidemiology: Lessons learned from the diabetes LEAD Network.Journal of clinical and translational science · 2025Article
- Unlocking success: community engagement for enhanced HIV care outcomes.Research involvement and engagement · 2024Article
- Unlocking Success: Community Engagement for Enhanced HIV Care Outcomes.Research square · 2024Article
- Now Is the Time to Strengthen Government-Academic Data Infrastructures to Jump-Start Future Public Health Crisis Response.JMIR public health and surveillance · 2024Article
- Assessing Health Data Security Risks in Global Health Partnerships: Development of a Conceptual Framework.JMIR formative research · 2021Article
- Electronic Health Record Network Research in Infectious Diseases.Clinical therapeutics · 2021Review
- Identifying nonfatal firearm assault incidents through linking police data and clinical records: Cohort study in Indianapolis, Indiana, 2007-2016.Preventive medicine · 2021Article
- Considerations for an integrated population health databank in Africa: lessons from global best practices.Wellcome open research · 2021Article
- Toward Reducing Health Information Inequities in the Caribbean: Our Experience Building a Participatory Health Informatics Project.Ethnicity & disease · 2020Article
- Applying a Commercialization-Readiness Framework to Optimize Value for Achieving Sustainability of an Electronic Health Data Research Network and Its Data Capabilities: The SAFTINet Experience.EGEMS (Washington, DC) · 2019Article
- It is not enough that we require data to be shared; we have to make sharing easy, feasible and accessible too!BMJ global health · 2019Article
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
introductionAlthough researchers recognize that sharing disparate data can improve population health, barriers (technical, motivational, economic, political, legal, and ethical) limit progress. In this paper, we aim to enhance the van Panhuis BRIEF DESCRIPTION OF MAJOR COMPONENTS: We enhance the van Panhuis CONCLUSIONS AND NEXT STEPS: Data sharing is a powerful tool in population health research, but significant barriers hinder such partnerships. Nevertheless, by aspiring to community-based participatory research principles, including partnership engagement, development, and maintenance, we have overcome barriers identified in the van Panhuis
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.