Data Science in Science
Taylor & Francis Group Β· United Kingdom
Aims & Scope⦠Inferred from recent articles
This journal focuses on the application of data science and machine learning techniques to address complex problems across various scientific disciplines. It features research on developing novel algorithms for prediction, classification, and anomaly detection, often with a focus on uncertainty quantification and model interpretability. The journal also explores the integration of data science with experimental design and the analysis of large-scale, heterogeneous datasets, including time-series and spatio-temporal data.
AI-summarised from recent articles Β· verify on publisher page β
General Information
Submission Info
Ethics & Quality
Think.Check.Submit Compliance
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category β its quartile can differ by discipline.
Subject Classification
Research Topics (OpenAlex)
Frequently asked questions about Data Science in Science
Is Data Science in Science a predatory journal?
PubScope has no integrity flags on record for Data Science in Science: it is indexed in Scopus, DOAJ, and is not on DOAJ's withdrawn list. Its PubScope Trust Score is 58/100. Indexing is a transparency signal, not a guarantee β always confirm fit and policies before submitting.
What is the impact factor of Data Science in Science?
Data Science in Science is not in the Web of Science Core Collection, so it has no official Clarivate Journal Impact Factor. Its SCImago SJR score is 0.222.
Is Data Science in Science indexed in Scopus and Web of Science?
Data Science in Science is indexed in Scopus, DOAJ.
How much does it cost to publish in Data Science in Science?
Data Science in Science charges an article processing charge (APC) of about $1,500 for open-access publication.
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See all βData updated: 2026-05-26 Β· Sources: SJR, DOAJ, OpenAlex, WoS, Crossref