Big Earth Data publishes gold open access research in the earth sciences, including earth system science, earth observation, earth systems monitoring, and environmental processes.
Big Earth Data aims to provide an efficient and high-quality platform for promoting the sharing, processing, and analyses of Earth-related big data, thereby revolutionizing the cognition of the Earth’s systems. The journal focuses on all aspects of big Earth data handling, including the theories, methods, algorithms, and technologies used for the collection, management, analysis, and visualization of big Earth data. To showcase the benefits of data-driven research, submissions on the applications of 'big Earth data' in exploring the Earth's historical, present and future evolution are highly encouraged.
The journal accepts research on ‘big data’ studies relating to but are not limited to, the following topics:
Earth observation
Geography
Geology
Atmospheric science
Marine science
Geophysics
Geochemistry
As a pioneer in supporting Open Science, we go beyond Open Access to ensure the integrity, transparency, reusability, and reproducibility of scientific findings. We strongly encourage authors to make all supporting data, code, and methods openly and permanently available. Our journal adheres to the principles of open and FAIR (Findable, Accessible, Interoperable, and Reusable) data and research software.
To submit your article, please refer to our Instructions for Authors, which provide detailed information on the submission process.
Journal metrics
Usage
142K annual downloads/views
Citation metrics
4.2 (2023) Impact Factor
Q1 Impact Factor Best Quartile
4.7 (2023) 5 year IF
7.4 (2023) CiteScore (Scopus)
Q1 CiteScore Best Quartile
1.273 (2023) SNIP
0.928 (2023) SJR
Speed/acceptance
4 days avg. from submission to first
decision
45 days avg. from submission to first
post-review decision
18 days avg. from acceptance to online
publication
32% acceptance rate
Understanding and using journal metrics
Journal metrics can be a useful tool for readers, as well as for authors
who are deciding where to submit their next manuscript for publication.
However, any one metric only tells a part of the story of a journal’s
quality and impact. Each metric has its limitations which means that it
should never be considered in isolation, and metrics should be used to
support and not replace qualitative review.
We strongly recommend that you always use a number of metrics, alongside
other qualitative factors such as a journal’s aims & scope, its
readership, and a review of past content published in the journal. In
addition, a single article should always be assessed on its own merits and
never based on the metrics of the journal it was published in.
Usage and acceptance rate data above are for the last full calendar year
and are updated annually in February. Speed data is updated every six
months, based on the prior six months. Citation metrics are updated
annually mid-year. Please note that some journals do not display all of
the following metrics
(find out why).
Usage:
the total number of times articles in the journal were viewed by users
of Taylor & Francis Online in the previous calendar year, rounded to the
nearest thousand.
Citation Metrics
Impact Factor*:
the average number of citations received by articles published in the
journal within a two-year window. Only journals in the Clarivate Science
Citation Index Expanded (SCIE), Social Sciences Citation Index (SSCI),
Arts and Humanities Citation Index (AHCI) and the Emerging Sources
Citation Index (ESCI) have an Impact Factor.
Impact Factor Best Quartile*:
the journal’s highest subject category ranking in the Journal Citation
Reports. Q1 = 25% of journals with the highest Impact Factors.
5 Year Impact Factor*:
the average number of citations received by articles in the journal
within a five-year window.
CiteScore (Scopus)†:
the average number of citations received by articles in the journal over
a four-year period.
CiteScore Best Quartile†:
the journal’s highest CiteScore ranking in a Scopus subject category. Q1
= 25% of journals with the highest CiteScores.
SNIP
(Source Normalized Impact per Paper):
the number of citations per paper in the journal, divided by citation
potential in the field.
SJR
(Scimago Journal Rank):
Average number of (weighted) citations in one year, divided by the
number of articles published in the journal in the previous three years.
Speed/acceptance
From submission to first decision:
the average (median) number of days for a manuscript submitted to the
journal to receive a first decision. Based on manuscripts receiving a
first decision in the last six months.
From submission to first post-review decision:
the average (median) number of days for a manuscript submitted to the
journal to receive a first decision if it is sent out for peer review.
Based on manuscripts receiving a post-review first decision in the last
six months.
From acceptance to online publication:
the average (median) number of days from acceptance of a manuscript to
online publication of the Version of Record. Based on articles published
in the last six months.
Acceptance rate:
articles accepted for publication by the journal in the previous
calendar year as percentage of all papers receiving a final decision.
Huadong Guo International Research Center of Big Data for Sustainable Development Goals / Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, [email protected]
Athos Agapiou Cyprus University of Technology, Limassol, Cyprus Budhendra Bhaduri Oak Ridge National Laboratory, TN, USA Bin Chen The University of Hong Kong, China Ge Chen Ocean University of China, Qingdao City, China Tao Cheng University College London, UK Serena Coetzee University of Pretoria, Hatfield, South Africa Christina Corbane Joint Research Centre - European Commission, Italy Carlos Antonio da Silva Junior State University of Mato Grosso, Brazil Cheryl Desha Griffith University, Brisbane, Australia Ashraf Dewan Curtin University, Perth, Australia Hassan Karimi, University of Pittsburgh, PA, USA Ahmed M. El Kenawy Mansoura University, Egypt Guoqing Li Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China Dong Liang International Research Center of Big Data for Sustainable Development Goals / Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China Jian Lin The Chinese University of Hong Kong, China Lei Luo International Centre on Space Technologies for Natural and Cultural Heritage / Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China Han Ma The University of Hong Kong, China Paolo Mazzetti National Research Council of Italy, Lazio, Italy Graciela Metternicht Western Sydney University, Australia Martino Pesaresi Joint Research Centre - European Commission, Italy Samad M. E. Sepasgozar University of New South Wales, Sydney, Australia Xiaopeng Song University of Maryland, College Park, MD, USA Martin Sudmanns Paris Lodron University of Salzburg, Austria Chaowei Yang George Mason University, Fairfax, VA, USA Hong Yang University of Reading, UK Rui Zhu Agency for Science, Technology and Research (A*STAR), Singapore Yunqiang Zhu Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
Advisory Board Members
Dake Chen Second Institute of Oceanography, State Oceanic Administration, Hanghzou, China Deliang Chen University of Gothenburg, Göteborg, Sweden Qiuming Cheng China University of Geosciences (Beijing), China Peng Gong, The University of Hong Kong, China Markku Kulmala University of Helsinki, Finland Xin Li Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China Shunlin Liang University of Maryland, College Park, MD, USA Stefano Nativi Joint Research Centre - European Commission, Italy Lizhe Wang China University of Geoscience (Wuhan), China
Abstracting and indexing
Indexing
Big Earth Data is now included in:
Directory of Open Access Journals (DOAJ)
Chinese Science Citation Database (CSCD)
Web of Science Emerging Sources Citation Index (ESCI)
Scopus
Ei Compendex
GEOBASE
Inspec
Open access
Big Earth Data is an open access journal and only publishes open access articles. Publishing open access means that your article will be free to access online immediately on publication, increasing the visibility, readership, and impact of your research.
Why choose open access?
Increase the discoverability and readership of your article
Make an impact and reach new readers, not just those with easy access to a research library
Freely share your work with anyone, anywhere
Comply with funding mandates and meet the requirements of your institution, employer or funder
Rigorous peer review for every open access article
Article Publishing Charges (APC)
To publish open access in this journal you may be asked to pay an Article Publishing Charge (APC). You may be able to publish your article at no cost to yourself or with a reduced APC if your institution or research funder has an open access agreement or membership with Taylor & Francis. Discounts and waivers may also be available for researchers in selected countries when publishing in open access journals.
The International Society for Digital Earth is a non-political, non-governmental and not-for-profit international organization, principally for the promotion of academic exchange, the innovation of science and technology, education, and international collaboration towards the realization of ‘Digital Earth’. The purpose of the society is to promote international cooperation around the ‘Digital Earth’ vision, and enable ‘Digital Earth’ technology to play key roles, inter alia, in economic and social sustainable development, environmental protection, disaster mitigation, natural resources conservation and the improvement of human beings' living standards.
The International Society for Digital Earth is a participating organization of the Group on Earth Observations (GEO), a member of the International Science Council (ISC), and a member of UN-GGIM: Geospatial Societies (UN-GGIM- GS).
International Society for Digital Earth and our publisher Taylor & Francis make every effort to ensure the accuracy of all the information (the "Content") contained in our publications. However, International Society for Digital Earth and our publisher Taylor & Francis, our agents (including the editor, any member of the editorial team or editorial board, and any guest editors), and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content. Any opinions and views expressed in this publication are the opinions and views of the authors, and are not the views of or endorsed by International Society for Digital Earth and our publisher Taylor & Francis. The accuracy of the Content should not be relied upon and should be independently verified with primary sources of information. International Society for Digital Earth and our publisher Taylor & Francis shall not be liable for any losses, actions, claims, proceedings, demands, costs, expenses, damages, and other liabilities whatsoever or howsoever caused arising directly or indirectly in connection with, in relation to, or arising out of the use of the Content. Terms & Conditions of access and use can be found at http://www.tandfonline.com/page/terms-and-conditions .
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