Data Science

SAGE Publishing

Journal websitePeer review: Open review
Evaluation status available after sign-in

About the journal

Data Science is an open-access journal published by SAGE Publishing in United Kingdom, publishing in english. It is listed in DOAJ according to the sources read. Declared publication charge: 1,600 USD. Declared review time at DOAJ: 24 weeks. Facts are reproduced as recorded at their sources with their capture dates; PublishLens indicators are available after sign-in.

Basic facts

Publisher
SAGE Publishing
ISSN
2451-8484 · 2451-8492
Country
United Kingdom
Languages
english
Access
Open access
Declared publication charge
1,600 USD
Articles in DOAJ
68
Declared review time
24 weeks
Declared peer-review model
open_review

Index listings

  • DOAJ · 2023-05-03
Indexing
DOAJ
APC
1,600 USD
Declared review time (DOAJ)
24 weeks — journal-declared only (not measured)
Activity (OpenAlex)
Active — latest works 2026
PublishLens list status
Shown after sign-in
Counts for promotion at your university?
Choose your university and rank below ↓

Methodology signals (dated facts from their sources)

Details of the evaluation under the published methodology are shown to signed-in users (free).

Create a free account to view the evaluation

Journal profile

Descriptive metadata from public sources (DOAJ, OpenAlex, PubMed) as of the capture date shown — contains no assessment or judgment.

Articles in DOAJ

68

Most recent article

5 months ago

Average review time (journal-declared via DOAJ)

24weeks

Works in OpenAlex

306

Last recorded publication year

2026

Reported by OpenAlex in 2 of 3 sources (CC0 flags, not verified indexing)DOAJSciELOOpenAlex Core

h-index

19

i10-index

35

From OpenAlex open data (CC0).

Editorial & policy13
Last DOAJ review date
2025-06-10
Added to DOAJ
2023-05-03
Declared plagiarism screening
Not declared
Other fees beyond APC
No
Declared digital preservation
CLOCKSS
Observed digital preservation (Keepers registry)— snapshot 2026-10-05
CLOCKSSPortico
Editorial board
Official page ↗
Norwegian register (HK-dir)— 2026
Level 1 — approved scholarly channel
Open references deposited at Crossref
100%
ORCID iDs in current deposits
91%
Enrolled in Crossref Similarity Check
✓
Deposits licence metadata at Crossref
✓
APC waiver policy
View policy
Peer-review policy
View policy
Identity & continuity1
Source type
journal
Classification2

Subjects (DOAJ)

Science: Mathematics: Instruments and machines: Electronic computers. Computer science

LCC codes

QA75.5-76.95

Subject areas

  • Statistical Methods and Applications
  • Big Data and Business Intelligence
  • Big Data and Business Intelligence
  • Data Mining and Machine Learning Applications
  • Big Data Technologies and Applications
  • Big Data and Business Intelligence
  • Research Data Management Practices
  • Scientific Computing and Data Management
Show all subjects (75)
  • Semantic Web and Ontologies
  • Data Quality and Management
  • Probability and Statistical Research
  • Scientific Computing and Data Management
  • Scientific Computing and Data Management
  • Data Quality and Management
  • Research Data Management Practices
  • Statistics Education and Methodologies
  • Research Data Management Practices
  • Digital Innovation in Industries
  • Digital Innovation in Industries
  • Machine Learning and Data Classification
  • Computational Physics and Python Applications
  • Artificial Intelligence Applications
  • Data Visualization and Analytics
  • Sports Science and Education
  • Sports Science and Education
  • Data Analysis with R
  • Advanced Database Systems and Queries
  • Software Engineering Techniques and Practices
  • Data Quality and Management
  • Biomedical Text Mining and Ontologies
  • Data Mining Algorithms and Applications
  • Biomedical Text Mining and Ontologies
  • Data Mining Algorithms and Applications
  • Artificial Intelligence in Healthcare
  • Machine Learning and Data Classification
  • Machine Learning and Algorithms
  • Machine Learning and Data Classification
  • Biomedical Text Mining and Ontologies
  • Semantic Web and Ontologies
  • Semantic Web and Ontologies
  • Genetics, Bioinformatics, and Biomedical Research
  • Advanced Statistical Methods and Models
  • Corporate Governance and Management
  • Computational Physics and Python Applications
  • Data Visualization and Analytics
  • Knowledge Management and Technology
  • Computational and Text Analysis Methods
  • Sentiment Analysis and Opinion Mining
  • Topic Modeling
  • Corporate Governance and Management
  • Genetics, Bioinformatics, and Biomedical Research
  • Artificial Intelligence in Healthcare
  • Advanced Statistical Methods and Models
  • Artificial Intelligence in Healthcare
  • Computational Physics and Python Applications
  • Data Visualization and Analytics
  • Statistics Education and Methodologies
  • Advanced Statistical Modeling Techniques
  • Corporate Management and Leadership
  • Teaching and Learning Programming
  • Statistics Education and Methodologies
  • Advanced Text Analysis Techniques
  • Anomaly Detection Techniques and Applications
  • Advanced Database Systems and Queries
  • Advanced Statistical Modeling Techniques
  • Advanced Text Analysis Techniques
  • Advanced Database Systems and Queries
  • Anomaly Detection Techniques and Applications
  • Corporate Management and Leadership
  • Face and Expression Recognition
  • Neural Networks and Applications
  • Neural Networks and Applications
  • Face and Expression Recognition
  • Topic Modeling
  • Topic Modeling

Keywords (DOAJ)

  • data science
  • computer sciences
  • mathematics & statistics

Community confirmations — what users saw in MJL or Scopus Sources; not platform verification and never part of any score.

Loading community confirmations…
How do we evaluate?Publisher of this journal? Appeal a derived assessment or request a factual correction

The journal's record in other sources:Web of Science MJLDOAJ

Everything shown here is produced automatically from named sources (DOAJ, OpenAlex, Crossref, PubMed, the Norwegian register) as of its capture date, with no human editing. Facts appear as recorded at the source; derived scores (PCI, PTD, PublishLens score) follow a published methodology. Not a judgement on the journal, not an official accreditation, not advice.

Wrong items are corrected automatically by re-reading the source (24 h for daily sources, 7 days for weekly ones) with a dated change log, and each item links to its source record. PublishLens-derived assessments are contested through the appeals mechanism (15 working days). Appeals · Indicator guide

Norwegian register data: Kanalregisteret (HK-dir, Norway) — CC BY 4.0 / NLOD — adapted: level extracted per year · OASPA member list — CC BY

Last automated source read: