Big Data & Society
Big Data & Society (BD&S) is an open access, peer-reviewed scholarly journal that publishes interdisciplinary work principally in the social sciences, humanities and computing and their intersections with the arts and natural sciences about the implications of Big Data for societies.
The Journal's key purpose is to provide a space for connecting debates about the emerging field of Big Data practices and how they are reconfiguring academic, social, industry, business and government relations, expertise, methods, concepts and knowledge.
BD&S moves beyond usual notions of Big Data and treats it as an emerging field of practices that is not defined by but generative of (sometimes) novel data qualities such as high volume and granularity and complex analytics such as data linking and mining. It thus attends to digital content generated through online and offline practices in social, commercial, scientific, and government domains. This includes, for instance, content generated on the Internet through social media and search engines but also that which is generated in closed networks (commercial or government transactions) and open networks such as digital archives, open government and crowdsourced data. Critically, rather than settling on a definition the Journal makes this an object of interdisciplinary inquiries and debates explored through studies of a variety of topics and themes.
BD&S seeks contributions that analyse Big Data practices and/or involve empirical engagements and experiments with innovative methods while also reflecting on the consequences for how societies are represented (epistemologies), realised (ontologies) and governed (politics).
This journal is a member of the Committee on Publication Ethics (COPE).
Article processing charge (APC)
The article processing charge (APC) for this journal is currently 2000 USD.
The article processing charge (APC) is payable when a manuscript is accepted after peer review, before it is published. The APC is subject to taxes where applicable. Please see further details here.
Authors who do not have funding for open access publishing can request a waiver from the publisher, SAGE, once their Original Research Article is accepted after peer review. For all other content (Commentaries, Editorials, Demos) and Original Research Articles commissioned by the Editor the APC will be waived.
Digital Enhancements
Big Data & Society is a digital-only journal and its platform accommodates a variety of multimedia to present complex images and dynamic visualisations and video and audio content. It is more than simply the mere transposition of a paper version as it is published on a platform that attends to the presentational issues that Big Data analyses demand (e.g., visualisation, multimedia, interactivity, code) and the challenges that digitisation presents for the future of scientific publishing (e.g., scholarly standards, protocols and scrutiny).
While still adhering to limits in article length, we encourage authors to use rich media and multiple visualisations and, when possible, to include links to data sources in the body of their article. We avoid the use of supplementary files and instead embed all components (figures, tables, video, and any additional data files) in the article whenever possible.
We also use the power of open access to make our content as widely available as possible. We have designed a platform that allows for simple and clean presentation of a variety of content. The initial platform launched in 2014 has gone through several changes and we continue to make improvements to the design and presentation of content.
Journal Sections
While peer reviewed original research articles are the Journal's core content, we also publish a variety of other content to advance research on and communication about Big Data practices:
Peer reviewed original research articles. The core content of the Journal is double blind, triple peer reviewed original research articles of up to 10,000 words including all references and notes.
Commentaries. Short submissions (up to 3000 words) on issues, controversies, and questions that are timely and novel such as emerging theories, topics, and methods. Contributions from researchers at all career stages are encouraged and submissions are reviewed by the Editorial Team to facilitate quick turn around.
Special Themes. Collections of articles and commentaries on a focused discussion of a specific topic related to Big Data. An annual call for proposals is made every June and submissions are co-edited by the Journal Editors and Guest Editors.
Editorials. Written by Guest Editors of the annual special theme to provide an overview of the contributions.
Demos. Annual multi-media demonstrations curated by the Journal Editorial Team of new methods, visualizations, experiments and approaches to the analysis of Big Data.
Blog Sections
The Journal invites contributions to its blog site at http://bigdatasociety.net.
Essays and Provocations. Dedicated to short essays and provocations on topics relevant to the study of Big Data practices.
Blogs and Video Abstracts. Authors of articles and commentaries are invited to write short blogs and produce 3-5 minute videos about their contributions.
Please see our FAQs page for further information:
http://bigdatasoc.blogspot.co.uk/p/faqs.html
ISSN: 20539517
E-ISSN:20539517
Please direct any inquires to: bdseditors@gmail.com.
Big Data & Society (BD&S) is an Open Access peer-reviewed scholarly journal that publishes interdisciplinary work principally in the social sciences, humanities and computing and their intersections with the arts and natural sciences about the implications of Big Data for societies.
Journal Sections
Peer reviewed original research articles. The core content of the Journal is double blind, triple peer reviewed original research articles of up to 10,000 words inclusive of all references and notes.
Commentaries. Short submissions (up to 3000 words) on issues, controversies, and questions that are timely and novel such as emerging theories, topics, and methods. Contributions from researchers at all career stages are encouraged and submissions are reviewed by the Editorial Team to facilitate quick turn around.
Special Themes. Collections of articles and commentaries on a focused discussion of a specific topic related to Big Data. Calls for special theme proposals, co-edited by the Journal Editors and Guest Editors, are posted via the journal's blog and Twitter account.
Editorials. Written by Guest Editors of the annual special theme to provide an overview of the contributions.
Demos. Annual multi-media demonstrations curated by the Journal Editorial Team of new methods, visualizations, experiments and approaches to the analysis of Big Data.
| Matt Zook | University of Kentucky, USA |
| Jennifer Gabrys | University of Cambridge, UK |
| Rocco Bellanova | Vrije Universiteit Brussels, Belgium |
| Dhiraj Murthy | University of Texas at Austin, USA |
| Sung-Yueh Perng | National Yang-Ming University, Taiwan |
| Sachil Singh | York University, Canada |
| Ana Valdivia | University of Oxford, UK |
| Jing Zeng | Utrecht University, Netherlands |
| Paolo Ciuccarelli | Northeastern University, USA |
| Richard Rogers | University of Amsterdam, Netherlands |
| Natalia Orrego Tapia | Pontifical Catholic University of Chile, CL |
| Sungwon Jung | The University of Texas at Austin, USA |
| Anastassija Kostan | Paderborn University, Germany |
| Sanjana Krishnan | University of Kentucky, USA |
| Jianfeng Lan | Shanghai Jiao Tong University, China |
| Kathryne Metcalf | University of California San Diego, USA |
| Kaelynn Narita | Goldsmiths, University of London, UK |
| El No | University of Cambridge, UK |
| Jun Zhang | University of Sheffield, UK |
| Adrian Mackenzie | Australian National University, Australia |
| Irina Shklovski | University of Copenhagen, Denmark |
| Judith Simon | University of Hamburg, Germany |
| Payal Arora | Utrecht University, The Netherlands |
| Jo Bates | University of Sheffield, UK |
| David Beer | University of York, UK |
| Anders Blok | University of Copenhagen |
| Geoffrey C. Bowker | UC Irvine (Emeritus), USA |
| Matthew Bui | University of Michigan, USA |
| Anita Say Chan | University of Illinois, Urbana-Champaign, USA |
| Wen-Tsong Chiou | Institutum Iurisprudentiae, Academia Sinica, Taiwan |
| Wendy Hui Kyong Chun | Simon Fraser University, Canada |
| Jonathan Cinnamon | University of British Columbia, Canada |
| Paul Dourish | University of California, Irvine, USA |
| Nora A. Draper | University of New Hampshire, USA |
| Ulrike Felt | |
| Marcus Foth | Queensland University of Technology, Australia |
| Rafael Grohmann | University of Toronto, Canada |
| Jeanette Hofmann | WZB Berlin Social Science Center, Germany |
| Rob Kitchin | Maynooth University, Ireland |
| Tahu Kukutai | The University of Waikato, New Zealand |
| Sabina Leonelli | University of Exeter, UK |
| Wen-yuan Lin | National Tsing-Hua University, Taiwan |
| Deborah Lupton | University of New South Wales (UNSW) Sydney, Australia |
| Adrian Mackenzie | Australian National University, Australia |
| Anders Koed Madsen | TANTLab - Aalborg University Copenhagen, Denmark |
| Noortje Marres | University of Warwick, UK |
| Tobias Matzner | Paderborn University, Germany |
| Stefania Milan | University of Amsterdam, The Netherlands |
| Andrea Miller | Pennsylvania State University, USA |
| Brent Mittelstadt | University of Oxford, UK |
| Dawn Nafus | Intel, USA |
| Han Woo Park | Yeungnam University, South Korea |
| Ate Poorthuis | KU Leuven, Belgium |
| Joanna Redden | Western University, Canada |
| Abdul Rohman | RMIT University, Vietnam |
| Camille Roth | Humboldt-Universität, Germany |
| Alyssa Saiphoo | Maru/Matchbox, Canada |
| Nick Seaver | Tufts University, USA |
| Irina Shklovski | University of Copenhagen, Denmark |
| Gavin J.D. Smith | Australian National University, Australia |
| Harrison Smith | University of Sheffield, UK |
| Monica Stephens | Durham University, UK |
| Hallam Stevens | James Cook University, Australia |
| Linnet Taylor | Tilburg University, Netherlands |
| Jim Thatcher | University of Washington, Tacoma, USA |
| José van Dijck | Utrecht University, The Netherlands |
| Tommaso Venturini | French National Centre for Scientific Research (CNRS), France |
| Ben Williamson | University of Edinburgh, UK |
| Sally Wyatt | Maastricht University, the Netherlands |
Big Data & Society
Table of Contents:
- Open Access
- Article processing charge (APC)
- What do we publish?
3.1 Aims & Scope
3.2 Article Types
3.3 Writing your paper - Editorial policies
4.1 Peer review policy
4.2 Authorship
4.3 Acknowledgements
4.4 Funding
4.5 Declaration of conflicting interests
4.6 Research Data - Publishing policies
5.1 Publication ethics
5.2 Contributors publishing agreement - Preparing your manuscript
6.1 Formatting
6.2 Artwork, figures and other graphics
6.3 Supplemental material
6.4 Reference style
6.5 English language editing services - Submitting your manuscript
7.1 How to submit your manuscript
7.2 Title, keywords and abstracts
7.3 Information required for completing your submission
7.4 ORCID
7.5 Permission - On acceptance and publication
8.1 Sage Production
8.2 Online publication
8.3 Promoting your article - Further information
- Appealing the publication decision
This Journal is a member of the Committee on Publication Ethics.
This Journal recommends that authors follow the Recommendations for the Conduct, Reporting, Editing, and Publication of Scholarly Work in Medical Journals formulated by the International Committee of Medical Journal Editors (ICMJE).
Please read the guidelines below then visit the journal’s submission site http://mc.manuscriptcentral.com/bdas to upload your manuscript. Please note that manuscripts not conforming to these guidelines may be returned. Remember you can log in to the submission site at any time to check on the progress of your paper through the peer review process.
Only manuscripts of sufficient quality that meet the aims and scope of Big Data & Society will be reviewed.As part of the submission process you will be required to warrant that you are submitting your original work, that you have the rights in the work, that you are submitting the work for first publication in the Journal and that it is not being considered for publication elsewhere and has not already been published elsewhere, and that you have obtained and can supply all necessary permissions for the reproduction of any copyright works not owned by you.
Big Data & Society may accept submissions of papers that have been posted on pre-print servers; please alert the Editorial Office when submitting (contact details are at the end of these guidelines) and include the DOI for the preprint in the designated field in the manuscript submission system. Authors should not post an updated version of their paper on the preprint server while it is being peer reviewed for possible publication in the journal. If the article is accepted for publication, the author may re-use their work according to the journal's author archiving policy.
If your paper is accepted, you must include a link on your preprint to the final version of your paper.
If you have any questions about publishing with Sage, please visit the Sage Journal Solutions Portal
Big Data & Society is an open access, peer-reviewed journal. Each article accepted by peer review is made freely available online immediately upon publication, is published under a Creative Commons license and will be hosted online in perpetuity. Publication costs of the journal are covered by the collection of article processing charges which are paid by the funder, institution or author of each manuscript upon acceptance. There is no charge for submitting a paper to the journal.
For general information on open access at Sage please visit the Open Access page or view our Open Access FAQs.
2. Article processing charge (APC)
If, after peer review, your manuscript is accepted for publication, a one-time article processing charge (APC) is payable. This APC covers the cost of publication and ensures that your article will be freely available online in perpetuity under a Creative Commons license.
The article processing charge (APC) for this journal is 2000 USD.
Before submitting your manuscript to Big Data & Society, please ensure you have read the Aims & Scope.
Journal Sections
While peer reviewed original research articles are the Journal's core content, we also publish a variety of other content to advance research on and communication about Big Data practices:
Peer reviewed original research articles. The core content of the Journal is double blind, triple peer reviewed original research articles of up to 10,000 words including all references.
Commentaries. Commentaries. Short submissions (up to 3000 words) on issues, controversies, and questions that are timely and novel such as emerging theories, topics, and methods. Contributions from researchers at all career stages are encouraged.
Special Themes. Collections of articles and commentaries on a focused discussion of a specific topic related to Big Data. An annual call for proposals is made every June and submissions are co-edited by the Journal Editors and Guest Editors.
Editorials. Written by Guest Editors of the annual special theme to provide an overview of the contributions.
Demos. Annual multi-media demonstrations curated by the Journal Editorial Team of new methods, visualizations, experiments and approaches to the analysis of Big Data.
Blog Sections
The Journal invites contributions to its blog site at http://bigdatasociety.net.
Essays and Provocations. Dedicated to short essays and provocations on topics relevant to the study of Big Data practices.
Blogs and Video Abstracts. Authors of articles and commentaries are invited to write short blogs and produce 3-5 minute videos about their contributions.
The Sage Author Gateway has some general advice and on how to get published, plus links to further resources. Sage Author Services also offers authors a variety of ways to improve and enhance their article including English language editing, plagiarism detection, and video abstract and infographic preparation.
3.3.1 Making your article discoverable
For information and guidance on how to make your article more discoverable, visit our Gateway page on How to Help Readers Find Your Article Online
The journal’s policy is to have manuscripts reviewed by three expert reviewers. Big Data & Society utilizes a double-blind peer review process in which the reviewer and authors’ names and information are withheld from the other. All manuscripts are reviewed as rapidly as possible, while maintaining rigor. Reviewers make comments to the author and recommendations to Editor who then makes the final decision.
The Editor or members of the Editorial Board may occasionally submit their own manuscripts for possible publication in the journal. In these cases, the peer review process will be managed by alternative members of the Board and the submitting Editor / Board member will have no involvement in the decision-making process.
Big Data & Society is committed to delivering high quality, fast peer-review for your paper, and as such has partnered with Publons. Publons is a third party service that seeks to track, verify and give credit for peer review. Reviewers for Big Data & Society can opt in to Publons in order to claim their reviews or have them automatically verified and added to their reviewer profile. Reviewers claiming credit for their review will be associated with the relevant journal, but the article name, reviewer’s decision and the content of their review is not published on the site. For more information visit the Publons website.
Papers should only be submitted for consideration once consent is given by all contributing authors. Those submitting papers should carefully check that all those whose work contributed to the paper are acknowledged as contributing authors.
The list of authors should include all those who can legitimately claim authorship. This is all those who:
- Made a substantial contribution to the concept or design of the work; or acquisition, analysis or interpretation of data,
- Drafted the article or revised it critically for important intellectual content,
- Approved the version to be published,
- Each author should have participated sufficiently in the work to take public responsibility for appropriate portions of the content.
Authors should meet the conditions of all of the points above. When a large, multicentre group has conducted the work, the group should identify the individuals who accept direct responsibility for the manuscript. These individuals should fully meet the criteria for authorship.
Acquisition of funding, collection of data, or general supervision of the research group alone does not constitute authorship, although all contributors who do not meet the criteria for authorship should be listed in the Acknowledgments section. Please refer to the International Committee of Medical Journal Editors (ICMJE) authorship guidelines for more information on authorship.
Please note that AI chatbots, for example ChatGPT, should not be listed as authors. For more information see the policy on Use of ChatGPT and generative AI tools.
All contributors who do not meet the criteria for authorship should be listed in an Acknowledgements section. Examples of those who might be acknowledged include a person who provided purely technical help, or a department chair who provided only general support.
Please supply any personal acknowledgements separately to the main text to facilitate anonymous peer review.
4.3.1 Third party submissions
Where an individual who is not listed as an author submits a manuscript on behalf of the author(s), a statement must be included in the Acknowledgements section of the manuscript and in the accompanying cover letter. The statements must:
- Disclose this type of editorial assistance – including the individual’s name, company and level of input
- Identify any entities that paid for this assistance
- Confirm that the listed authors have authorized the submission of their manuscript via third party and approved any statements or declarations, e.g. conflicting interests, funding, etc.
Where appropriate, Sage reserves the right to deny consideration to manuscripts submitted by a third party rather than by the authors themselves.
4.3.2 Writing assistance
Individuals who provided writing assistance, e.g. from a specialist communications company, do not qualify as authors and so should be included in the Acknowledgements section. Authors must disclose any writing assistance – including the individual’s name, company and level of input – and identify the entity that paid for this assistance. It is not necessary to disclose use of language polishing services.
Big Data & Society requires all authors to acknowledge their funding in a consistent fashion under a separate heading. Please visit the Funding Acknowledgements page on the Sage Journal Author Gateway to confirm the format of the acknowledgment text in the event of funding, or state that: This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.
4.5 Declaration of conflicting interests
Big Data & Society encourages authors to include a declaration of any conflicting interests and recommends you review the good practice guidelines on the Sage Journal Author Gateway.
The journal is committed to facilitating openness, transparency and reproducibility of research, and has the following research data sharing policy. For more information, including FAQs please visit the Sage Research Data policy pages.
Subject to appropriate ethical and legal considerations, authors are encouraged to:
- share your research data in a relevant public data repository
- include a data availability statement linking to your data. If it is not possible to share your data, we encourage you to consider using the statement to explain why it cannot be shared.
- cite this data in your research
Sage is committed to upholding the integrity of the academic record. We encourage authors to refer to the Committee on Publication Ethics’ International Standards for Authors and view the Publication Ethics page on the Sage Author Gateway.
5.1.1 Plagiarism
Big Data & Society and Sage take issues of copyright infringement, plagiarism or other breaches of best practice in publication very seriously. We seek to protect the rights of our authors and we always investigate claims of plagiarism or misuse of published articles. Equally, we seek to protect the reputation of the journal against malpractice. Submitted articles may be checked with duplication-checking software. Where an article, for example, is found to have plagiarized other work or included third-party copyright material without permission or with insufficient acknowledgement, or where the authorship of the article is contested, we reserve the right to take action including, but not limited to: publishing an erratum or corrigendum (correction); retracting the article; taking up the matter with the head of department or dean of the author's institution and/or relevant academic bodies or societies; or taking appropriate legal action.
5.1.2 Prior publication
If material has been previously published, it is not generally acceptable for publication in a Sage journal. However, there are certain circumstances where previously published material can be considered for publication. Please refer to the guidance on the Sage Author Gateway or if in doubt, contact the Editor at the address given below.
5.2 Contributor’s publishing agreement
Before publication Sage requires the author as the rights holder to sign a Journal Contributor’s Publishing Agreement. Big Data & Society publishes manuscripts under Creative Commons licenses. The standard license for the journal is Creative Commons by Attribution Non-Commercial (CC BY-NC), which allows others to re-use the work without permission as long as the work is properly referenced and the use is non-commercial. For more information, you are advised to visit Sage's OA licenses page. Alternative license arrangements are available, for example, to meet particular funder mandates, made at the author’s request.
The preferred format for your manuscript is Word. LaTeX files are also accepted. Word and (La)Tex templates are available on the Manuscript Submission Guidelines page of our Author Gateway.
6.2 Artwork, figures and other graphics
For guidance on the preparation of illustrations, pictures and graphs in electronic format, please visit Sage’s Manuscript Submission Guidelines
Figures supplied in color will appear in color online.
This journal is able to host additional materials online (e.g. datasets, podcasts, videos, images etc) alongside the full-text of the article. For more information please refer to our guidelines on submitting supplemental files.
Big Data & Society adheres to the Sage Harvard reference style. View the Sage Harvard guidelines to ensure your manuscript conforms to this reference style.
If you use EndNote to manage references, you can download the Sage Harvard EndNote output file.
6.5 English language editing services
Authors seeking assistance with English language editing, translation, or figure and manuscript formatting to fit the journal’s specifications should consider using Sage Language Services. Visit Sage Language Services on our Journal Author Gateway for further information.
7.1 How to submit your manuscript
Big Data & Society is hosted on Sage Track, a web based online submission and peer review system powered by ScholarOne™ Manuscripts. Visit http://mc.manuscriptcentral.com/bdas to login and submit your article online.
IMPORTANT: Please check whether you already have an account in the system before trying to create a new one. If you have reviewed or authored for the journal in the past year it is likely that you will have had an account created. For further guidance on submitting your manuscript online please visit ScholarOne Online Help.
7.2 Title, keywords and abstracts
Please supply a title, short title, an abstract and keywords to accompany your article. The title, keywords and abstract are key to ensuring readers find your article online through online search engines such as Google. Please refer to the information and guidance on how best to title your article, write your abstract and select your keywords by visiting the Sage Journal Author Gateway for guidelines on How to Help Readers Find Your Article Online.
7.3 Information required for completing your submission
Provide full contact details for the corresponding author including email, mailing address and telephone numbers. Academic affiliations are required for all co-authors. These details should be presented separately to the main text of the article to facilitate anonymous peer review.
You will be asked to provide contact details and academic affiliations for all co-authors via the submission system and identify who is to be the corresponding author. These details must match what appears on your manuscript. At this stage please ensure you have included all the required statements and declarations and uploaded any additional supplementary files (including reporting guidelines where relevant).
As part of our commitment to ensuring an ethical, transparent and fair peer review process Sage is a supporting member of ORCID, the Open Researcher and Contributor ID. ORCID provides a unique and persistent digital identifier that distinguishes researchers from every other researcher, even those who share the same name, and, through integration in key research workflows such as manuscript and grant submission, supports automated linkages between researchers and their professional activities, ensuring that their work is recognized.
The collection of ORCID IDs from corresponding authors is now part of the submission process of this journal. If you already have an ORCID iD you will be asked to associate that to your submission during the online submission process. We also strongly encourage all co-authors to link their ORCID ID to their accounts in our online peer review platforms. It takes seconds to do: click the link when prompted, sign into your ORCID account and our systems are automatically updated. Your ORCID iD will become part of your accepted publication’s metadata, making your work attributable to you and only you. Your ORCID iD is published with your article so that fellow researchers reading your work can link to your ORCID profile and from there link to your other publications.
If you do not already have an ORCID ID please follow this link to create one or visit our ORCID homepage to learn more.
7.5 Information required for completing your submission
You will be asked to provide contact details and academic affiliations for all co-authors via the submission system and identify who is to be the corresponding author. These details must match what appears on your manuscript. The affiliation listed on the manuscript should be the institution where the research was conducted. If an author has moved to a new institution since completing the research, the new affiliation can be included in a manuscript note at the end of the paper. At this stage please ensure you have included all the required statements and declarations and uploaded any additional supplementary files (including reporting guidelines where relevant).
Please ensure that you have obtained any necessary permission from copyright holders for reproducing any illustrations, tables, figures or lengthy quotations previously published elsewhere. For further information including guidance on fair dealing for criticism and review, please see the Copyright and Permissions page on the Sage Journal Author Gateway.
8. On acceptance and publication
If your paper is accepted for publication after peer review, you will first be asked to complete the contributor’s publishing agreement. Once your manuscript files have been checked for Sage Production, the corresponding author will be asked to pay the article processing charge (APC) via a payment link. Once the APC has been processed, your article will be prepared for publication and can appear online within an average of 30 days. Please note that no production work will occur on your paper until the APC has been received.
Your Sage Production Editor will keep you informed as to your article’s progress throughout the production process. Proofs will made available to the corresponding author via our editing portal Sage Edit, or by email to the corresponding author and should be returned promptly. Authors are reminded to check their proofs carefully to confirm that all author information, including names, affiliations, sequence and contact details are correct, and that Funding and Conflict of Interest statements, if any, are accurate.
One of the many benefits of publishing your research in an open access journal is the speed to publication. With no page count constraints, your article will be published online in a fully citable form with a DOI number as soon as it has completed the production process. At this time it will be completely free to view and download for all.
Publication is not the end of the process! You can help disseminate your paper and ensure it is as widely read and cited as possible. The Sage Author Gateway has numerous resources to help you promote your work. Visit the Promote Your Article page on the Gateway for tips and advice.
Any correspondence, queries or additional requests for information on the Manuscript Submission process should be sent to the Big Data & Society editorial office as follows:
10. Appealing the publication decision
Editors have very broad discretion in determining whether an article is an appropriate fit for their journal. Many manuscripts are declined with a very general statement of the rejection decision. These decisions are not eligible for formal appeal unless the author believes the decision to reject the manuscript was based on an error in the review of the article, in which case the author may appeal the decision by providing the Editor with a detailed written description of the error they believe occurred.
If an author believes the decision regarding their manuscript was affected by a publication ethics breach, the author may contact the publisher with a detailed written description of their concern, and information supporting the concern, at publication_ethics@sagepub.com