Journal profile · Mathematics-Computational Mathematics
Data Science in Science
ISSN 2694-1899 · Taylor & Francis Group · United Kingdom
Data Science in Science: fully open access; APC about USD 1,500; median 227 days to acceptance (56 articles, last 24 months); acceptance rate 21% (journal website); 26 articles in 2025; indexed in Scopus.
Scope
Aims, scope and focus
Data Science in Science is published by Taylor & Francis Group. By OpenAlex counts of its recent articles, its largest topics are Statistical Methods and Inference, Gaussian Processes and Bayesian Inference and Statistical Methods and Bayesian Inference, together about 22.9% of its articles. Its main subfields are Statistics and Probability. (generated from OpenAlex topic counts and CAS ranking data)
Data Science in Science is an open access, international journal publishing original research and reviews at the intersection of Science and Data Science. Its aim is to advance: new ideas for experimental and observational data-driven learning and discovery that help address fundamental questions at the frontiers of Science and scientific inference; quantification and summarization of uncertainty from data-driven theories and complex Data Science models, algorithms, and workflows; and new practices for scientific reproducibility and replicability enabled through Data Science. It promotes the intrinsically multidisciplinary nature of the field of Data Science and seeks explicitly science-driven advances in Data Science, and their novel, significant, or transformative applications to Science. It fosters dedicated collaboration and convergence between the broadly defined fields of Science and Data Science through: (i) deep domain, (ii) broader inter-domain, and (iii) trans-domain collaborative research. It encourages collective scientific learning through new collaborative and scientific methods and theories that have the potential to inform the knowledge among and strengthen the data practices of domain and data scientists. Original research articles should encompass scientific and Data Science concepts, techniques, or computational methods and tools for addressing scientific problems in a way that is novel or beyond that of traditional disciplinary research. Review articles should highlight important and timely applications of Data Science within a scientific discipline or insightful applications across disciplines, with comprehensive discussion of any application, specific considerations, or assumptions. Special issues dedicated to relevant and timely special topics will also be of interest. Proposals should be emailed to the Editor-in-Chief for consideration in the first instance. Peer Review Policy All submitted manuscripts are subject to initial appraisal by the Editors. If found suitable for further consideration, papers are subject to peer review by independent, anonymous expert referees. All peer review is double anonymized and submissions can be made online on Submission Portal. Publishing Ethics The Journal adheres to the highest standards of publishing ethics, with rigorous processes in place to ensure this is achieved. Taylor & Francis is a member of the Committee of Publications Ethics (COPE) and utilizes CrossCheck for all Journals. More inform
From the journal's Aims & Scope
Research area (LetPub): Mathematics-Computational Mathematics
Main research topics OpenAlex counts of recent articles; shares are approximate
- Statistical Methods and InferenceMathematics9.2%
- Gaussian Processes and Bayesian InferenceComputer Science7.3%
- Statistical Methods and Bayesian InferenceMathematics6.4%
- Neural Networks and ApplicationsComputer Science6.4%
- Financial Risk and Volatility ModelingEconomics, Econometrics and Finance5.5%
- Advanced Causal Inference TechniquesMathematics4.6%
- Complex Systems and Time Series AnalysisEconomics, Econometrics and Finance4.6%
- Forecasting Techniques and ApplicationsDecision Sciences4.6%
Rankings & indexing
CAS ranking and database indexing
CAS Journal Ranking
CAS Journal Ranking, upgraded edition (March 2025)Not covered
Not covered by this edition.
CAS Xinrui Journal Ranking (March 2026)Not covered
Not covered by this edition.
CAS Journal Ranking, previous upgraded edition (December 2023)Not covered
Not covered by this edition.
CiteScore quartiles (Scopus, June 2026 release)
| Subject | Quartile | Rank | Percentile |
|---|---|---|---|
| Computational Mathematics | Q4 | 161/212 | — |
| Statistics and Probability | Q4 | 243/303 | — |
Scopus ranks journals by CiteScore within each subject: the 75th percentile and above is Q1, then a quartile every 25 points. A different system from the CAS zones.LetPub
Database indexing
ScopusDOAJLetPub
International journal early-warning lists: not listed in any editionLetPub
Indexing the journal's website claims
PorticoPublisher website
As the journal's website lists them, not checked against each database; for Web of Science editions the records above apply.
Editions, and major and minor categories, are shown separately and never merged into one zone; check which edition your institution uses before you submit or report.
Metrics
Impact metrics and publication volume
Impact
- CiteScore 2026-06
- 1.1LetPub ·
- CiteScore (publisher) 2025
- 1.1Publisher website ·
- SJR 2026-06
- 0.22LetPub ·
- SJR (publisher) 2025
- 0.22Publisher website ·
- SNIP 2026-06
- 0.36LetPub ·
- SNIP (publisher) 2025
- 0.36Publisher website ·
- h-index
- 7OpenAlex ·
- i10-index
- 3OpenAlex ·
- 2-year mean citedness
- 1.18OpenAlex ·
- Share of gold OA articles
- 0%LetPub ·
Volume
- Articles per year (publisher)
- 2,023Publisher website ·
- Downloads per year (publisher)
- 32,000Publisher website ·
Articles by year OpenAlex count · 87 in total · the current year is incomplete
| Year | Articles | Open access | Citations |
|---|---|---|---|
| 2026 | 27 | 27 | 70 |
| 2025 | 26 | 26 | 40 |
| 2024 | 14 | 14 | 36 |
| 2023 | 14 | 14 | 16 |
| 2022 | 6 | 6 | 4 |
| 2021 | 0 | 0 | 1 |
Sources count differently and were observed at different times, so each source's own value is kept; "publisher" marks figures from the journal's website.
Review & acceptance
Review time and acceptance
Review time from article dates manuscript dates registered with Crossref · to
227 daysMedian, submission to acceptance · P25–P75 180 days – 313 days
- Acceptance to online
- median 27 days (56 articles)
- Submission to online
- median 259 days
- Sample
- 56 articles with submission and acceptance dates (59 in the window); the latest was accepted on
Only articles that were accepted and published are counted, not the time spent on rejected manuscripts, so this usually runs longer than a publisher's "time to first decision".
Other sources
- Average review time (community reports)
- about 10 weeksLetPub ·
- Acceptance rate (publisher)
- 21%Publisher website ·
- Submission to first decision
- 85 daysPublisher website ·
- First decision after review
- 124 daysPublisher website ·
- Acceptance to publication
- 31 daysPublisher website ·
- Submission to publication (journal-reported)
- about 10 weeksDOAJ ·
- Peer review
- Single anonymous peer reviewDOAJ
Community reports come from authors' own submissions (confidence 0.5) and are not a promise from the journal; for publisher figures, the journal's own definitions apply.
Fees & open access
APC and open-access policy
Fully open accessDOAJ
Every article is open access; authors usually pay an article processing charge (APC).
| Source | APC | Fee waiver | License | Observed |
|---|---|---|---|---|
| DOAJ | USD 1,500 | Yes | CC BY, CC BY-NC | |
| LetPub | USD 1,500 | Yes | — | |
| Publisher website | USD 1,680 / GBP 1,344 / EUR 1,615 / AUD 2,340 | — | — |
The journal's website is authoritative for fees; sources were observed at different times and each keeps its own value, without averaging.
Submission
Article types and submission policies (journal website)
What to prepare1 items from the author guidelines
- Abstract
- ≤ 200 words
Article types accepted4, with length limits
- book reviewResearch Article Should be written with the following elements in the following order: title page; abstract; keywords; main text introduction, materials and met…main text ≤ 200 words · abstract ≤ 200 words
- data noteResearch Article Should be written with the following elements in the following order: title page; abstract; keywords; main text introduction, materials and met…main text ≤ 200 words · abstract ≤ 200 words
- research articleResearch Article Should be written with the following elements in the following order: title page; abstract; keywords; main text introduction, materials and met…Length not stated
- reviewResearch Article Should be written with the following elements in the following order: title page; abstract; keywords; main text introduction, materials and met…main text ≤ 200 words · abstract ≤ 200 words
Policy excerpts from the journal's websiteData availability, Publication ethics, License & copyright, Open access, Peer review
- Data availability Data Sharing Policy
Taylor & Francis Basic Data Sharing Policy Model summary
This journal applies the Taylor & Francis Basic Data Sharing Policy. Authors are encouraged to share or make open the data supporting the results or analyses presented in their paper where this does not violate the protection of human subjects or other valid privacy or security concerns. Authors are encouraged to deposit the dataset(s) in a recognized data repository that can mint a persistent dig…
Source ↗Publisher website ·- Publication ethics
Publishing Ethics: adheres to highest standards; Taylor & Francis is COPE member and uses CrossCheck. Model summary
The Journal adheres to the highest standards of publishing ethics, with rigorous processes in place to ensure this is achieved. Taylor & Francis is a member of the Committee of Publications Ethics (COPE) and utilizes CrossCheck for all Journals.
Source ↗Publisher website ·- License & copyright Copyright Options
Copyright allows you to protect your original material, and stop others from using your work without your permission. Taylor & Francis offers a number of different license and reuse options, including Creative Commons licenses when publishing open access. Read more on publishing agreements.
Source ↗Publisher website ·- Open access Open access
Overview Open journals Open Select Dove Medical Press F1000Research
Source ↗Publisher website ·- Peer review Peer Review and Ethics
Double anonymous peer review Model summary
Taylor & Francis is committed to peer-review integrity and upholding the highest standards of review. Once your paper has been assessed for suitability by the editor, it will then be double anonymous peer reviewed by two independent, anonymous expert. If you have shared an earlier version of your Author’s Original Manuscript on a preprint server, please be aware that anonymity cannot be guaranteed…
Source ↗Publisher website ·
Excerpts are quoted from the journal's website; "model summary" lines are written by Workers AI and checked against the text. The journal's website is authoritative.
Profile
Publication details and official links
- Publisher
- Taylor & Francis Group
- Country or region
- United Kingdom
- Language
- English
- ISSN
- 2694-1899
- Society / sponsor
- American Statistical Association
- Latest issue on the website
- Volume 5, Issue 1 (2026)
- Official links
- Journal homepage ↗LetPub
- Submission system ↗Publisher website
- Author guidelines ↗LetPub
- Aims & Scope ↗LetPub
- Special issues ↗Publisher website
- APC information ↗DOAJ
- Fee waivers ↗DOAJ
- Open access statement ↗DOAJ
- License & copyright ↗DOAJ
- Peer review process ↗LetPub
- Editorial board ↗LetPub
- Plagiarism policy ↗DOAJ
FAQ
Frequently asked questions about Data Science in Science
How long does peer review take at Data Science in Science?
Based on the dates recorded on 56 articles published between October 2024 and October 2026 (the last 24 months), the median time from submission to acceptance is 227 days (interquartile range 180–313 days); authors report an average review time of about 10 weeks; the journal's website gives an acceptance rate of 21%. Article statistics cover accepted papers only, publisher figures follow the journal's own definitions, and community reports come from authors' own submissions; none is a promise from the journal.
Which databases index Data Science in Science?
According to LetPub and DOAJ records, Data Science in Science is indexed in Scopus and DOAJ.
Is Data Science in Science open access, and what is the APC?
Data Science in Science is a fully open-access journal. APC about USD 1,500.
Sources and updates
The facts on this page come from LetPub, Publisher website, DOAJ, OpenAlex; every figure is tagged with its source and the date it was observed, and conflicting values are kept per source. LetPub source page: view ↗ (archived 2026-08-25). Last updated: .