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Frontiers in Big Data

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Frontiers in Big Data is an international, peer-reviewed, open-access journal dedicated to advancing the methodologies, technologies, and applications used to acquire, manage, analyze, and interpret large and complex datasets.

The objectives of Frontiers in Big Data are to advance research in big data methodologies and technologies, promote innovative data science and artificial intelligence applications, improve data mining and management...

About the journal

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  • Author guidelines

    Ready to publish? Check our author guidelines for everything you need to know about submitting, from choosing a journal and section to preparing your manuscript.

  • Editor guidelines

    Reviewing a manuscript? See our editor guidelines for everything you need to know about the Frontiers peer review process.

  • Peer review

    Our rigorous and transparent peer review combines expert assessment with constructive dialogue to strengthen your manuscript.

  • Publishing fees

    Article processing charges apply to articles accepted for publication by our external editors after rigorous peer review.

Editors

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Huan Liu

Arizona State University

United States

Field Chief Editor

Frontiers in Big Data

Dongwon Lee

The Pennsylvania State University (PSU)

United States

Specialty Chief Editor

Data Science

Elena Ferrari

University of Insubria

Italy

Specialty Chief Editor

Cybersecurity and Privacy

Huan Wu

Sun Yat-sen University

China

Specialty Chief Editor

Data-driven Climate Sciences

Jean-Roch Vlimant

California Institute of Technology

United States

Specialty Chief Editor

Big Data and AI in High Energy Physics

Jiliang Tang

Michigan State University

United States

Specialty Chief Editor

Network Science and Graph Data

Madhav Marathe

University of Virginia

United States

Specialty Chief Editor

Data Analytics for Social Impact

Maria Girone

European Organization for Nuclear Research (CERN)

Switzerland

Specialty Chief Editor

Big Data and AI in High Energy Physics

395 editors · 0 reviewers

Articles

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Research topics

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About the journal

Scope

Frontiers in Big Data covers the development, management, analysis, and application of large-scale and complex datasets across scientific, technological, industrial, and societal domains. Its scope includes big data networks, artificial intelligence applications in high-energy physics, cybersecurity and privacy, data analytics for social impact, data mining and management, data science, data-driven climate sciences, machine learning and artificial intelligence, medicine and public health, and recommender systems. The journal welcomes methodological, theoretical, computational, and applied studies involving data collection, integration, processing, modeling, visualization, prediction, knowledge discovery, and responsible data governance.

Aims

The objectives of Frontiers in Big Data are to advance research in big data methodologies and technologies, promote innovative data science and artificial intelligence applications, improve data mining and management techniques, support secure and privacy-preserving data analysis, encourage interdisciplinary collaboration, promote responsible and reproducible data-driven research, and facilitate the application of big data to scientific discovery, public health, climate research, industry, and social impact.

ISSN
2624-909X
Editor-in-Chief
Huan Liu
Established
2026
Subject area
Big Data, Data Science, Artificial Intelligence, Machine Learning, Data Mining, Cybersecurity

Sections

  • Big Data and AI in High Energy Physics

    Official section page: https://www.frontiersin.org/journals/big-data/sections/big-data-and-ai-in-high-energy-physics

  • Cybersecurity and Privacy

    Official section page: https://www.frontiersin.org/journals/big-data/sections/cybersecurity-and-privacy

  • Data Analytics for Social Impact

    Official section page: https://www.frontiersin.org/journals/big-data/sections/data-analytics-for-social-impact

  • Data Mining and Management

    Official section page: https://www.frontiersin.org/journals/big-data/sections/data-mining-and-management

  • Data Science

    Official section page: https://www.frontiersin.org/journals/big-data/sections/data-science

  • Data-driven Climate Sciences

    Official section page: https://www.frontiersin.org/journals/big-data/sections/data-driven-climate-sciences

  • Machine Learning

    Official section page: https://www.frontiersin.org/journals/big-data/sections/machine-learning

  • Medicine and Public Health

    Official section page: https://www.frontiersin.org/journals/big-data/sections/medicine-and-public-health

  • Network Science and Graph Data

    Official section page: https://www.frontiersin.org/journals/big-data/sections/network-science-and-graph-data

Article types accepted

  • Brief Research Report
  • Clinical Trial
  • Community Case Study
  • Conceptual Analysis
  • Correction
  • Data Report
  • Editorial
  • FAIR² Data
  • General Commentary
  • Hypothesis and Theory
  • Methods
  • Mini Review
  • Opinion
  • Original Research
  • Perspective
  • Policy and Practice Reviews
  • Review
  • Study Protocol
  • Systematic Review
  • Technology and Code

Fees and currencies

  • Article processing charges (official)
  • - Category A: CHF 1,495 — Original Research, Systematic Review, Methods, Review, Policy and Practice Reviews, Hypothesis and Theory, Clinical Trial, Technology and Code, Study Protocol
  • - Category B: CHF 990 — Mini Review, Perspective, Community Case Study, Conceptual Analysis, Data Report, Brief Research Report, General Commentary, Opinion
  • - Category C: CHF 0 — Correction, Editorial
  • Currency: CHF

Fees are charged only after acceptance. Waivers and discounts are available for authors with limited funding.

Fees and waivers policy

Editorial policies

Open Access Policy: The journal provides open access to published research under the applicable Creative Commons Attribution (CC BY) licence.

Peer Review Policy: The journal uses a single-anonymized peer-review model. Reviewers' identities are not disclosed to authors, while authors' identities are visible to reviewers. Editors can see the identities of both authors and reviewers.

Publication Ethics: Authors must comply with applicable research ethics standards, accurately report findings, disclose funding and conflicts of interest, and provide correct authorship information.

Originality Policy: Submissions must comply with the publisher's policies concerning plagiarism, duplicate publication, and research integrity.

Data Availability Policy: Authors should follow the journal's requirements for data availability, transparency, and reproducibility and provide supporting datasets or repository links where applicable.

Privacy and Security: Research involving personal or sensitive data should follow applicable privacy, confidentiality, and data protection requirements.

Corrections and Retractions: Published articles may be corrected or retracted when necessary to preserve the integrity of the scientific record.

Copyright Policy: Authors retain copyright under the journal's open-access publishing terms and may share and reuse their work in accordance with the applicable licence.

Instructions for authors

Authors must submit manuscripts through the journal's official online submission system and select the specialty section that best matches their research. Manuscripts must present original, scientifically rigorous work and comply with the journal's requirements for article structure, references, figures, tables, research ethics, data availability, and declarations. Submissions undergo editorial assessment and peer review by editors and reviewers with relevant expertise in the selected specialty section. Authors should clearly describe their datasets, data preprocessing procedures, analytical methods, model design, evaluation metrics, limitations, and reproducibility measures. Research involving human participants, personal data, or sensitive information must comply with applicable ethics, privacy, and data protection requirements. Authors must follow the specific requirements for their selected article type before submission.

Journal metrics

Citation score
7.3
Impact indicator
0691
Articles
50
Total views
0
Downloads
0
Citations
3,163

Internal metrics, calculated on this platform and maintained by the editorial office.

Official bibliometric indicators

Impact factor
3.8
CiteScore
8.8
Citations
11901

Source: official publisher page · retrieved 2026-10-16

Some values were updated by the editorial office on 2026-10-19.