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Data Science in Science
Metadata for this journal is being automatically enriched from connected scholarly data sources.
Journal information
- Publisher
- Taylor & Francis Group
- Subjects
- applied science · Bayesian Methods and Mixture Models · Bayesian Modeling and Causal Inference · Climate variability and models · Complex Systems and Time Series Analysis · computational mathematics · data science · Gaussian Processes and Bayesian Inference · machine learning · Neural Networks and Applications · Probabilities. Mathematical statistics · Science (General) · Statistical Methods and Bayesian Inference · Statistical Methods and Inference · statistics
- Country
- GB
- Languages
- EN
- ISSN
- —
- E-ISSN
- 2694-1899
- ISSN-L
- 2694-1899
- Open access
- Yes
- OA since
- 2022
- Publication years
- 2022–2026
- APC (summary)
- —
- Website
- —
Journal Classification
Classification is derived from this journal’s 2024–2025 publications using the OpenAlex taxonomy.
- Classification
- Multidisciplinary
- Primary Field
- Multidisciplinary
- Primary Subfield
- Not assigned for multidisciplinary journals
- Domain
- —
- Confidence
- High
- Publications classified
- 39
- Classification version
- OAJF Classification v1.1
APC records
- DOAJ · 2026
- 1,500 USD