Aims and scope
The Journal of Big Data publishes high-quality, scholarly research papers, methodologies and case studies covering a broad range of topics, from big data analytics to data-intensive computing and all applications of big data research. The journal examines the challenges facing big data today and going forward including, but not limited to: data capture and storage; search, sharing, and analytics; big data technologies; data visualization; architectures for massively parallel processing; data mining tools and techniques; machine learning algorithms for big data; cloud computing platforms; distributed file systems and databases; and scalable storage systems. Academic researchers and practitioners will find the Journal of Big Data to be a seminal source of innovative material.
Why publish your article in Journal of Big Data?
Journal of Big Data's open access policy allows maximum visibility of articles published in the journal as they are available to a wide, global audience.
Speed of publication
Journal of Big Data offers a fast publication schedule whilst maintaining rigorous peer review; all articles must be submitted online, and peer review is managed fully electronically (articles are distributed in PDF form, which is automatically generated from the submitted files). Articles will be published with their final citation after acceptance, in both fully browsable web form, and as a formatted PDF; the article will then be available through Journal of Big Data and SpringerOpen.
Online publication in Journal of Big Data gives you the opportunity to publish large datasets, large numbers of color illustrations and moving pictures, to display data in a form that can be read directly by other software packages so as to allow readers to manipulate the data for themselves, and to create all relevant links (for example, to PubMed, to sequence and other databases, and to other articles).
Promotion and press coverage
Articles published in Journal of Big Data are included in article alerts and regular email updates.
In addition, articles published in Journal of Big Data may be promoted by press releases to the general or scientific press. These activities increase the exposure and number of accesses for articles published in Journal of Big Data.
Authors of articles published in Journal of Big Data retain the copyright of their articles and are free to reproduce and disseminate their work (for further details, see the copyright and license agreement).
For further information about the advantages of publishing in a journal from SpringerOpen, please click here.
All articles published by the Journal of Big Data are made freely and permanently accessible online immediately upon publication, without subscription charges or registration barriers. Further information about open access can be found here.
As authors of articles published in the Journal of Big Data you are the copyright holders of your article and have granted to any third party, in advance and in perpetuity, the right to use, reproduce or disseminate your article, according to the SpringerOpen copyright and license agreement.
For those of you who are US government employees or are prevented from being copyright holders for similar reasons, SpringerOpen can accommodate non-standard copyright lines. Please contact us if further information is needed.
Open access publishing is not without costs. Journal of Big Data therefore levies an article-processing charge of £990.00/$1390.00/€1180.00 for each article accepted for publication.
If the corresponding author's institution participates in our open access membership program, some or all of the publication cost may be covered (more details available on the membership page). We routinely waive charges for authors from low-income countries. For other countries, article-processing charge waivers or discounts are granted on a case-by-case basis to authors with insufficient funds. Authors can request a waiver or discount during the submission process. For further details, see our article-processing charge page.
SpringerOpen provides a free open access funding support service to help authors discover and apply for article processing charge funding. Visit our OA funding and policy support page to view our list of research funders and institutions that provide funding for APCs, and to learn more about our email support service.
The full text of all articles is deposited in digital archives around the world to guarantee long-term digital preservation. You can also access all articles published by SpringerOpen on SpringerLink.
We are working closely with relevant indexing services, including Web of Science (Clarivate Analytics), to ensure that articles published in Journal of Big Data will be available in their databases when appropriate.
All manuscripts submitted to Journal of Big Data should adhere to SpringerOpen's editorial policies.
Once your article is accepted, it will be processed by production and published shortly afterwards. In some cases, articles may be held for a short period of time prior to publication. If you have any concerns or particular requirements please contact the Journal.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Citing articles in Journal of Big Data
Articles in Journal of Big Data should be cited in the same way as articles in a traditional journal. Because articles are not printed, they do not have page numbers; instead, they are given a unique article number.
Article citations follow this format:
Authors: Title. J Big Data [year], [volume number]:[article number].
e.g. Roberts LD, Hassall DG, Winegar DA, Haselden JN, Nicholls AW, Griffin JL: Increased hepatic oxidative metabolism distinguishes the action of Peroxisome Proliferator-Activated Receptor delta from Peroxisome Proliferator-Activated Receptor gamma in the Ob/Ob mouse. J Big Data 2009, 1:115.
refers to article 115 from Volume 1 of the journal.
Appeals and complaints
If you wish to appeal a rejection or make a complaint you should, in the first instance, contact the Editor who will provide details of the journal's complaints procedure.