ReviewScience advances2024
Anonymization: The imperfect science of using data while preserving privacy.
Review in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed.
- Heavy commercial vehicles' disposition: Anonymized dataset of German truck freight transport order trips (DT-DISPO).Data in brief · 2026Article
- Disparate privacy risks from medical AI.Nature · 2026Article
- Advancing data protections for implantable brain-computer interfaces.Communications medicine · 2026Review
- Inconsistent ethics reporting in individual participant data meta-analyses: a call for updating PRISMA and PRISMA-IPD.BMC medicine · 2026Article
- Urban vibrancy: An analogy of biodiversity, retail diversity, and activity-based urban diversity measures.PNAS nexus · 2026Article
- A case study comparing anonymized and synthetic health insurance claims data for medication safety assessments.NPJ digital medicine · 2026Article
- Proposal of a procedure to stratify the reidentification risk of medical data: RIMEDA.BMC medical informatics and decision making · 2026Article
- Embracing the Digital Revolution: How Artificial Intelligence is Transforming Clinical Trials in Older Participants.Drugs & aging · 2026Review
- Use of Automation Technologies and Data Mining in Speech Recognition for Autism.Brain and behavior · 2026Review
- Applications of Artificial Intelligence and Smart Devices in Metabolic Dysfunction-associated Steatotic Liver Disease.Journal of clinical and translational hepatology · 2026Article
- Personal medical data protection of mobile pharmacy apps in China 2025: scale development and content analysis.Archives of public health = Archives belges de sante publique · 2026Article
- Real-Time Stream Data Anonymization via Dynamic Reconfiguration withSensors (Basel, Switzerland) · 2025Article
- Should we synthesize more than we need: impact of synthetic data generation for high-dimensional cross-sectional medical data.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Assessing patient perceptions of off-label cannabidiol use for insomnia through sentiment analysis.Journal of cannabis research · 2025Article
- Triggering the Personalization Backfire Effect: The Moderating Role of Situational Privacy Concern.Behavioral sciences (Basel, Switzerland) · 2025Article
- Medical laboratory data-based models: opportunities, obstacles, and solutions.Journal of translational medicine · 2025Review
- Deep learning for electrocardiogram interpretation: Bench to bedside.European journal of clinical investigation · 2025Review
- Parallel privacy preservation through partitioning (P4): a scalable data anonymization algorithm for health data.BMC medical informatics and decision making · 2025Article
- A scaling law to model the effectiveness of identification techniques.Nature communications · 2025Article
- Effects of Problem-Based Learning on Critical Thinking, Communication Skills, and Satisfaction Among First-Year Medical Students in Ghana: A study protocol.MedEdPublish (2016) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Information about us, our actions, and our preferences is created at scale through surveys or scientific studies or as a result of our interaction with digital devices such as smartphones and fitness trackers. The ability to safely share and analyze such data is key for scientific and societal progress. Anonymization is considered by scientists and policy-makers as one of the main ways to share data while minimizing privacy risks. In this review, we offer a pragmatic perspective on the modern literature on privacy attacks and anonymization techniques. We discuss traditional de-identification techniques and their strong limitations in the age of big data. We then turn our attention to modern approaches to share anonymous aggregate data, such as data query systems, synthetic data, and differential privacy. We find that, although no perfect solution exists, applying modern techniques while auditing their guarantees against attacks is the best approach to safely use and share data today.
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.