ReviewBioinformatics (Oxford, England)2015
Data Safe Havens in health research and healthcare.
Review in Bioinformatics (Oxford, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 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
31 citing papers in PubMed.
- UK Longitudinal Linkage Collaboration (UK LLC): The National Trusted Research Environment for Longitudinal Research.International journal of population data science · 2025Article
- 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
- A survey of computable biomedical knowledge repositories.Learning health systems · 2023Article
- Building Public Health Surveillance 3.0: Emerging Timely Measures of Physical, Economic, and Social Environmental Conditions Affecting Health.American journal of public health · 2022Review
- A National Network of Safe Havens: Scottish Perspective.Journal of medical Internet research · 2022Article
- A deterministic approach for protecting privacy in sensitive personal data.BMC medical informatics and decision making · 2022Article
- Restricted access data in the neurosciences: Are the restrictions always justified?Frontiers in neuroscience · 2022Article
- Clinical deployment environments: Five pillars of translational machine learning for health.Frontiers in digital health · 2022Review
- Orchestrating privacy-protected big data analyses of data from different resources with R and DataSHIELD.PLoS computational biology · 2021Article
- Privacy preserving data visualizations.EPJ data science · 2021Article
- Article
- Essential requirements for establishing and operating data trusts: practical guidance co-developed by representatives from fifteen canadian organizations and initiatives.International journal of population data science · 2020Article
- Recognizing, reporting and reducing the data curation debt of cohort studies.International journal of epidemiology · 2020Article
- Bringing Code to Data: Do Not Forget Governance.Journal of medical Internet research · 2020Article
- Efficient identification of patients eligible for clinical studies using case-based reasoning on Scottish Health Research register (SHARE).BMC medical informatics and decision making · 2020Article
- Article
- Assessment of a demonstrator repository for individual clinical trial data built upon DSpace.F1000Research · 2020Article
- Data Resource Profile: The ALSPAC birth cohort as a platform to study the relationship of environment and health and social factors.International journal of epidemiology · 2019Article
- Our data, our society, our health: A vision for inclusive and transparent health data science in the United Kingdom and beyond.Learning health systems · 2019Article
- Participatory governance over research in an academic research network: the case of Diabetes Action Canada.BMJ open · 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
16 authors.
Funding
Abstract
motivationThe data that put the 'evidence' into 'evidence-based medicine' are central to developments in public health, primary and hospital care. A fundamental challenge is to site such data in repositories that can easily be accessed under appropriate technical and governance controls which are effectively audited and are viewed as trustworthy by diverse stakeholders. This demands socio-technical solutions that may easily become enmeshed in protracted debate and controversy as they encounter the norms, values, expectations and concerns of diverse stakeholders. In this context, the development of what are called 'Data Safe Havens' has been crucial. Unfortunately, the origins and evolution of the term have led to a range of different definitions being assumed by different groups. There is, however, an intuitively meaningful interpretation that is often assumed by those who have not previously encountered the term: a repository in which useful but potentially sensitive data may be kept securely under governance and informatics systems that are fit-for-purpose and appropriately tailored to the nature of the data being maintained, and may be accessed and utilized by legitimate users undertaking work and research contributing to biomedicine, health and/or to ongoing development of healthcare systems.
resultsThis review explores a fundamental question: 'what are the specific criteria that ought reasonably to be met by a data repository if it is to be seen as consistent with this interpretation and viewed as worthy of being accorded the status of 'Data Safe Haven' by key stakeholders'? We propose 12 such criteria. CONTACT: paul.burton@bristol.ac.uk.
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.