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About the journal
Data Science in Science is an open-access journal published by Taylor & Francis Group in United Kingdom, publishing in english. It is listed in DOAJ according to the sources read. Declared publication charge: 1,500 USD. Declared review time at DOAJ: 10 weeks. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.
Basic facts
- Publisher
- Taylor & Francis Group
- ISSN
- 2694-1899
- Country
- United Kingdom
- Languages
- english
- Access
- Open access
- Declared publication charge
- 1,500 USD
- Articles in DOAJ
- 65
- Declared review time
- 10 weeks
- Declared peer-review model
- other
- Official website
- https://www.tandfonline.com/UDSS
Index listings
- DOAJ · 2023-09-12
- Indexing
- DOAJ
- APC
- 1,500 USD
- Declared review time (DOAJ)
- 10 weeks — journal-declared only (not measured)
- Activity (OpenAlex)
- Active — latest works 2026
- PublishLens list status
- Shown after sign-in
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Methodology signals (dated facts from their sources)
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Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.
Articles in DOAJ
65
Most recent article
2 months ago
Average review time (journal-declared via DOAJ)
10weeks
Works in OpenAlex
82
Last recorded publication year
2026
Reported by OpenAlex in 2 of 3 sources (CC0 flags, not verified indexing)DOAJSciELOOpenAlex Core
h-index
5
i10-index
4
From OpenAlex open data (CC0).
Editorial & policy12
- Last DOAJ review date
- 2024-08-08
- Added to DOAJ
- 2023-09-12
- Declared plagiarism screening
- Declared
- Other fees beyond APC
- No
- Declared digital preservation
- CLOCKSSLOCKSSPortico
- Observed digital preservation (Keepers registry)— snapshot 2026-10-05
- CLOCKSSPortico
- Editorial board
- Official page ↗
- Open references deposited at Crossref
- 100%
- ORCID iDs in current deposits
- 81%
- Enrolled in Crossref Similarity Check
- ✓
- Deposits licence metadata at Crossref
- ✓
- APC waiver policy
- View policy
- Peer-review policy
- View policy
Identity & continuity2
- Source type
- journal
- NLM unique ID (PubMed)
- 9918557182406676
Classification4
Subjects (DOAJ)
Science: Science (General)Science: Mathematics: Probabilities. Mathematical statistics
LCC codes
Q1-390QA273-280
Subject areas
- Statistical Methods and Inference
- Gaussian Processes and Bayesian Inference
- Gaussian Processes and Bayesian Inference
- Gaussian Processes and Bayesian Inference
- Neural Networks and Applications
- Statistical Methods and Bayesian Inference
- Financial Risk and Volatility Modeling
- Statistical Methods and Bayesian Inference
Show all subjects (75)
- Statistical Methods and Bayesian Inference
- Advanced Causal Inference Techniques
- Complex Systems and Time Series Analysis
- Neural Networks and Applications
- Forecasting Techniques and Applications
- Statistical Methods and Inference
- Complex Systems and Time Series Analysis
- Bayesian Modeling and Causal Inference
- Bayesian Methods and Mixture Models
- Neural Networks and Applications
- Complex Systems and Time Series Analysis
- Statistical Methods and Inference
- Bayesian Methods and Mixture Models
- Bayesian Modeling and Causal Inference
- Advanced Causal Inference Techniques
- Anomaly Detection Techniques and Applications
- Financial Markets and Investment Strategies
- Financial Risk and Volatility Modeling
- Energy Load and Power Forecasting
- Climate variability and models
- Statistical and numerical algorithms
- Advanced Causal Inference Techniques
- Anomaly Detection Techniques and Applications
- Anomaly Detection Techniques and Applications
- Financial Risk and Volatility Modeling
- Financial Markets and Investment Strategies
- Energy Load and Power Forecasting
- Climate variability and models
- Statistical and numerical algorithms
- Statistical Methods in Epidemiology
- Statistical Methods and Applications
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Financial Markets and Investment Strategies
- Market Dynamics and Volatility
- SARS-CoV-2 detection and testing
- Stochastic processes and financial applications
- SARS-CoV-2 detection and testing
- Control Systems and Identification
- SARS-CoV-2 detection and testing
- Fault Detection and Control Systems
- Fault Detection and Control Systems
- Data-Driven Disease Surveillance
- Control Systems and Identification
- Model Reduction and Neural Networks
- Climate variability and models
- Machine Learning in Materials Science
- Functional Brain Connectivity Studies
- Big Data and Business Intelligence
- Fault Detection and Control Systems
- Stochastic processes and financial applications
- Market Dynamics and Volatility
- Advanced Statistical Methods and Models
- Meteorological Phenomena and Simulations
- COVID-19 epidemiological studies
- Mental Health Research Topics
- Model Reduction and Neural Networks
- Imbalanced Data Classification Techniques
- Bayesian Methods and Mixture Models
- Advanced Multi-Objective Optimization Algorithms
- Imbalanced Data Classification Techniques
- Big Data and Business Intelligence
- Mental Health Research Topics
- Model Reduction and Neural Networks
- Meteorological Phenomena and Simulations
- Functional Brain Connectivity Studies
- Stochastic processes and financial applications
Keywords (DOAJ)
- data science
- computational mathematics
- statistics
- machine learning
- applied science
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