Big Data & Society
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Big Data & Society


Editor and Founding Editor
Evelyn Ruppert Goldsmiths, University of London, UK
Co-Editors
Anatoliy Gruzd Ted Rogers School of Management, Ryerson University, Canada
Jennifer Gabrys Goldsmiths University of London, UK
Judith Simon University of Hamburg, Germany
Dhiraj Murthy University of Texas at Austin, USA
Matthew Zook University of Kentucky, USA
Co-Editors – Demos
Paolo Ciuccarelli Density Design Research Lab, Italy
Richard Rogers University of Amsterdam, Netherlands
Editorial Assistant
Ville Takala Goldsmiths, University of London, UK
Assistant Editors
Mark Carrigan University of Warwick, UK
Nanna Gorm Jensen ITU Copenhagen, Denmark
Ate Poorthuis Singapore University of Technology and Design, Singapore
Gernot Rieder University of Vienna, Austria
Lesley Willard University of Texas at Austin, USA
Advisory Board Founding Co-Editors
Adrian Mackenzie Lancaster University, UK
Irina Shklovski IT University of Copenhagen, Denmark


eISSN: 20539517 | ISSN: 20539517 | Current volume: 3 | Current issue: 2
Big Data & Society now open for submissions

Visit the Big Data & Society blog at http://bigdatasoc.blogspot.co.uk and follow on Twitter @BigDataSoc

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).

BD&S 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. Contents include peer reviewed research articles and colloquia as well as sections on bookcasts, think pieces, state-of-the art methods, and work by early career researchers. The Journal is open access thus making its content widely accessible to readers.

Big Data & Society is a peer-reviewed, open access journal. Original research articles submitted from 1st July 2017 which are subsequently accepted after peer review will be subject to an open access article processing charge of $800. Other paper types and those original research articles commissioned by the Editor will be waived. Authors who do not have funding for open access publishing should request a waiver from the publisher, SAGE, once their paper is accepted after peer review.

This journal is a member of the Committee on Publication Ethics (COPE).

*The article processing charge (APC) is payable upon acceptance after peer review and is subject to value added tax (VAT) where applicable. If the paying author/institution is based in the European Union, to comply with European law, VAT must be added to the APC. Providing a VAT registration number will allow an institution to avoid paying this tax, except for UK institutions. Payments can be made in GBP or USD. 

Digital Enhancements

Big Data & Society is a born-digital publication and its content is more than simply the mere transposition of a paper version. It will be 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).

One of the Journal’s goals is to allow for various digital media in the presentation of research. Some content can be best conveyed using multiple illustrations or video accompaniment. 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 the article. We avoid the use of supplementary files and instead embed all components (figures, tables, video, and any additional data files) in the article. And finally we will provide a space to link articles to other related work such as working papers, blogs, project sites and other relevant materials. In this way peer reviewed articles will be understood as only one element of a network of dissemination and scholarly communication.

We will 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. But the initial platform is only the beginning. BD&S will solicit on-going feedback from readers and authors to make the design and presentation of content as accessible and usable as possible.

Journal Sections

While peer reviewed research articles are the Journal’s core content, we will also publish a variety of other content to advance research on and communication about Big Data practices:

Peer reviewed research articles. Double blind, triple peer reviewed articles, some of these will also be accompanied by invited short podcasts/vodcasts.

Colloquia. Also sometimes referred to as symposia, external guest editors will be invited to convene debates/discussions.

Bookcasts. Rather than a book reviews section, authors and one interviewer will be invited to do a brief overview and review of relevant books in video format.

Commentaries. This section will provide a space for short submissions on topical issues, controversies, questions, etc.

Demos. The Journal will provide a space for multi-media demonstrations of new methods, visualizations, experiments and approaches to the analysis of Big Data.

Early Career Researcher Forum. Short articles will be invited from postgraduate students and early career researchers about their work and projects on Big Data.

Editorials. An annual overview of published content along with article and journal metrics and reviewer acknowledgments written by the Editorial Team.

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.

This journal is a member of the Committee on Publication Ethics (COPE).

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).
BD&S 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. Contents include peer reviewed research articles and colloquia as well as sections on bookcasts, think pieces, state-of-the art methods, and work by early career researchers.
 

Journal Sections

While peer reviewed research articles are the Journal’s core content, we will also publish a variety of other content to advance research on and communication about Big Data practices:

Peer reviewed research articles. Double blind, triple peer reviewed articles, some of these will also be accompanied by invited short podcasts/vodcasts.
Colloquia. Also sometimes referred to as symposia, external guest editors will be invited to convene debates/discussions.
Bookcasts. Rather than a book reviews section, authors and one interviewer will be invited to do a brief overview and review of relevant books in video format.
Commentaries. This section will provide a space for short submissions on topical issues, controversies, questions, etc.
Demos. The Journal will provide a space for multi-media demonstrations of new methods, visualizations, experiments and approaches to the analysis of Big Data.
Early Career Researcher Forum. Short articles will be invited from postgraduate students and early career researchers about their work and projects on Big Data.

Editorials. An annual overview of published content along with article and journal metrics and reviewer acknowledgments written by the Editorial Team.
Editorial Board
Rein Ahas University of Tartu, Estonia
Mark Andrejevic Pomona College, USA
David Beer University of York, UK
David Berry University of Sussex, UK
Tobias Blanke King's College London, UK
Roger Burrows Newcastle University
Wendy Hui Kyong Chun Brown University, USA
Kate Crawford University of New South Wales, Australia
Andrew Crooks George Mason University, USA
Paul Edwards University of Michigan, USA
Mikkel Flyverbom Copenhagen Business School, Denmark
Marcus Foth Queensland University of Technology, Australia
Kelly Gates University of California, San Diego, USA
Tarleton Gillespie Cornell University, USA
Mark Graham University of Oxford, United Kingdom
Christine M Hine University of Surrey, UK
William Housley Cardiff University, UK
Pablo Jensen Rhône Alpes Complex Systems Institute, France
Christopher Kelty UCLA, USA
Denisa Kera National University of Singapore, Singapore
Hannah Knox University of Manchester, UK
Sabina Leonelli University of Exeter, UK
Deborah Lupton University of Canberra, Australia
Noortje Marres Goldsmiths, University of London, UK
Ruth McNally Anglia Ruskin University, UK
Anna Munster University of New South Wales, Australia
Dawn Nafus Intel Labs, USA
Han Woo Park Yeungnam University, South Korea
Andrea Scharnhorst Virtual Knowledge Studio, The Netherlands
Hallam Stevens Nanyang Technological University, Singapore
Bruno Strasser University of Geneva, Switzerland
Jose van Dijck University of Amsterdam, The Netherlands
Tommaso Venturini Sciences Po, France
Farida Vis University of Sheffield, UK
Alex Voss  
Advisory Board
Michael Batty University College London, United Kingdom
Geoff Bowker University of California, Irvine, USA
Andrew Fearne University of Kent, UK
Ulrike Felt University of Vienna, Austria
Luciano Floridi University of Oxford, UK
Jeanette Hofman Humboldt Institute for Internet and Society, Germany
Sarah Kenderdine University of New South Wales, Australia
Rob Kitchin NUI Maynooth
Bruno Latour Sciences Po, France
Celia Lury University of Warwick, UK
Adrian Mackenzie Lancaster University, UK
Roger Malina University of Texas at Dallas, USA
Lev Manovich CUNY, USA
Kenneth Prewitt Columbia University, USA
Rob Procter University of Warwick, UK
David D. Roure University of Oxford, UK
Mike Savage London School of Economics and Political Science, UK
Ralph Schroeder University of Oxford, UK
Irina Shklovski IT University of Copenhagen, Denmark
Richard Webber King's College London, UK
Sally Wyatt Maastricht University, The Netherlands
Jonathan Zittrain Harvard University, USA
  • Directory of Open Access Journals (DOAJ)
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    1. Peer review policy
      1.1 Authorship
      1.2 Acknowledgments
      1.2.1 Writing assistance
      1.3 Funding
      1.4 Declaration of conflicting interests
      1.5 Data
    2. Publishing Policies
      2.1 Publication Ethics
      2.1.1 Plagiarism
      2.2 Permissions
    3. Open Access and the Publication Fee
    4. Article/Manuscript types
    5. Replication policy
    6. How to submit your manuscript
    7. Manuscript Preparation
    8. Journal contributor's publishing agreement
    9. Proofs
    10. Further Information

    This journal is a member of the Committee on Publication Ethics (COPE).

    Editorial Statement

    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 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).

    1. Peer review policy

    BD&S operates a high-quality peer-review process. All submissions of original research articles to BD&S are double-blind, and triple peer-reviewed.

    As part of the submission process you will be asked to provide the names of peers who could be called upon to review your manuscript. Recommended reviewers should be experts in their fields and should be able to provide an objective assessment of the manuscript. Please be aware of any conflicts of interest when recommending reviewers. Examples of conflicts of interest include (but are not limited to) the below: 

    • The reviewer should have no prior knowledge of your submission
    • The reviewer should not have recently collaborated with any of the authors
    • Reviewer nominees from the same institution as any of the authors are not permitted

    Please note that the Editors are not obliged to invite any recommended/opposed reviewers to assess your manuscript.

    1.1 Authorship

    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:

    1. Made a substantial contribution to the concept and design, acquisition of data or analysis and interpretation of data,
    2. Drafted the article or revised it critically for important intellectual content,
    3. Approved the version to be published.

    Authors should meet the conditions of all of the points above. Each author should have participated sufficiently in the work to take public responsibility for appropriate portions of the content.

    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.

    All parties who have made a substantive contribution to the article should be listed as authors. Principal authorship, authorship order, and other publication credits should be based on the relative scientific or professional contributions of the individuals involved, regardless of their status. A student is usually listed as principal author on any multiple-authored publication that substantially derives from the student’s dissertation or thesis.

    1.2 Acknowledgements

    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.

    1.2.1 Writing Assistance

    Individuals who provided writing assistance, e.g. from a specialist communciations 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.
    Please supply any personal acknowledgements separately to the main text to facilitate anonymous peer review.

    1.3 Funding

    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. 

    1.4 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

    1.5 Data

    SAGE acknowledges the importance of research data availability as an integral part of the research and verification process for academic journal articles.

    Big Data & Society requests all authors submitting any primary data used in their research articles if the articles are accepted to be published in the online version of the journal, or provide detailed information in their articles on how the data can be obtained. This information should include links to third-party data repositories or detailed contact information for third-party data sources. Data available only on an author-maintained website will need to be loaded onto either the journal’s platform or a third-party platform to ensure continuing accessibility. Examples of data types include but are not limited to statistical data files, replication code, text files, audio files, images, videos, appendices, and additional charts and graphs necessary to understand the original research. The editor may consider limited embargoes on proprietary data. The editor can also grant exceptions for data that cannot legally or ethically be released. All data submitted should comply with Institutional or Ethical Review Board requirements and applicable government regulations. For further information, please contact the editorial office.

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    2. Publishing policies

    2.1 Publication ethics

    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

    2.1.1 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 articles published in the journal. Equally, we seek to protect the reputation of the journal against malpractice. Submitted articles may be checked using duplication-checking software. Where an article is found to have plagiarised other work or included third-party copyright material without permission or with insufficient acknowledgement, or where 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 (removing it from the journal); taking up the matter with the head of department or dean of the author’s institution and/or relevant academic bodies or societies; banning the author from publication in the journal or all SAGE journals, or appropriate legal action.

    2.2 Permissions

    Authors are responsible for obtaining 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 visit our Frequently Asked Questions on the SAGE Journal Author Gateway

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    3. Open Access and the Publication Fee

    Big Data & Society is a peer-reviewed, open access journal. Original research articles submitted from 1st July 2017 which are subsequently accepted after peer review will be subject to an open access article processing charge of $800. Other paper types and those original research articles commissioned by the Editor will be waived. Authors who do not have funding for open access publishing should request a waiver from the publisher, SAGE, once their paper is accepted after peer review.

    *The article processing charge (APC) is payable upon acceptance after peer review and is subject to value added tax (VAT) where applicable. If the paying author/institution is based in the European Union, to comply with European law, VAT must be added to the APC. Providing a VAT registration number will allow an institution to avoid paying this tax, except for UK institutions. Payments can be made in GBP or USD.

    Back to top

    4. Article/Manuscript types

    While peer reviewed research articles are the Journal’s core content, we will also publish a variety of other content to advance research on and communication about Big Data practices:

    Peer reviewed research articles.  Double-blind, triple peer-reviewed articles, some of these will also be accompanied by invited short podcasts/vodcasts.

    Colloquia. Also sometimes referred to as symposia, external guest editors will be invited to convene debates/discussions.

    Bookcasts. Rather than a book reviews section, authors and one interviewer will be invited to do a brief overview and review of relevant books in video format.

    Commentaries.  This section will provide a space for short submissions on topical issues, controversies, questions, etc.

    Early Career Researcher Forum. Short articles will be invited from postgraduate students and early career researchers about their work and projects on Big Data.

    Demos. The Journal editors will annually invite curators to compile and reflect on projects related to the concerns of the Journal and present this in the form of an essay, images, and links.

    Editorials.  An annual overview of published content along with article and journal metrics and reviewer acknowledgments written by the Editorial Team.
    The Editorial Team will review Colloquia, Commentaries, Demonstrations and ECR Forum.

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    5. Replication Policy

    Contributions based on qualitative and quantitative data should be well documented and, if data is collected by the author, well described.

    Making datasets publicly available is a policy of BD&S. Only on the basis of a well-motivated request of the author at the time of submission may the Board of Editors decide, in exceptional cases, to publish an article without publicly available data.
    For contributions based on quantitative data, BD&S requires the author to submit their data set (or a link to it) and their syntax/command files for the analyses presented in the contribution. If applicable, efforts should also be made to link to or provide detail of the datasets used to construct the current set.
    Authors must provide a separate readme PDF listing all included files and documenting the purpose and format of each file provided, as well as instructing a user on how the replication can be conducted.

    Data can be hosted on the SAGE BD&S website and/or authors should use a recognised third party data repository service to host their data. Recommended services include:

    *Note that there is a charge for using this service.

    For contributions based on qualitative data, and in as far as these sources are not yet available, the author is recommended to archive her/his material in a repository, making it available to others.

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    6. How to submit your manuscript

    Before submitting your manuscript, please ensure you carefully read and adhere to all the guidelines and instructions to authors provided below. Manuscripts not conforming to these guidelines may be returned.

    All manuscripts should be submitted via the BD&S ScholarOne™ Manuscripts online system. Other forms of submission will not be accepted by the editors. 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 previously reviewed or authored for the journal it is likely that you will have had an account created. For further guidance on submitting your manuscript online please visit ScholarOne Online Help.

    All submissions must be made via the online system. If you would like to discuss your submission with the editorial team prior to submission, please refer to the contact details below.

    Authors may check on the status of their submission by accessing their author page in ScholarOne Manuscripts.

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    7. Manuscript Preparation

    File types: BD&S will only accept textual submissions made in MS Word or RTF. Please also refer to additional guidelines on submitting artwork below.

    Language and Style:
    BD&S conforms to the SAGE house style. Click here to review guidelines on SAGE UK House Style.

    References: BD&S adheres to the SAGE Harvard reference style. Click here to review the guidelines on SAGE Harvard to ensure your manuscript conforms to this reference style.

    If you use EndNote to manage references, download the SAGE Harvard output style by following this link and save to the appropriate folder (normally for Windows C:\Program Files\EndNote\Styles and for Mac OS X Harddrive:Applications:EndNote:Styles). Once you’ve done this, open EndNote and choose “Select Another Style...” from the dropdown menu in the menu bar; locate and choose this new style from the following screen.

    Preparation of tables, figures and equations: For guidance on the preparation of illustrations, pictures, videos, audios, and graphs in electronic format, please visit SAGE’s Manuscript Submission Guidelines. For specific guidance on preparing video and audio files, please read these guidelines. Figures supplied in colour will appear in colour online.

    Each manuscript should contain:

    (i) Title page. The author must attach a separate file containing full title and subtitle (if any). Keep the title concise and informative. The title page must also include the corresponding author’s full contact information (including email address, mailing address, telephone number and institutional affiliation), as well as the names and institutional affiliations of all co-authors.

    (ii) Abstract. Up to 250 words; should briefly specify (a) the purpose of the submission, (b) the approach/design/methodology used, (c) the main findings of the submission; (d) the implications of these findings, including possible limitations. The abstract is not included in the article word limit.

    (iii) Keywords: A list of up to 6. Avoid general or plural terms; use only those abbreviations that are firmly established in the social sciences and humanities.

    (iv) Main text. Word count should not exceed 8,000 words for a Research Article, 3,000 words for a Commentary, and 1,000 words for a contribution to Early Career Research Forum section including notes and references but excluding figures, tables, images, videos and audios and any supporting material that will appear as supplementary appendices (see below). Text should be clearly organized, with a clear hierarchy of headings and subheadings and quotations exceeding 40 words displayed, indented, in the text. Tables and Figures should be included in the main text if created in MS Word or else supplied separately with a clear placeholder in the main text. All figures and tables should be clearly captioned.

    The text should be double-spaced throughout and with a minimum of 3cm for left and right hand margins and 5cm at head and foot. Text should be standard 10 or 12 point. Endnotes and references may be single-spaced using the same font size as that used in the body of the manuscript.

    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, writing assistance, or a department chair who provided only general support. Authors should disclose whether they had any writing assistance and identify the entity that paid for this assistance. Acknowledgements, the Funding Statement and any Declaration of Conflicting Interest should appear at the end of your article prior to any notes and your references.

    (v) Data and Replication Information Meta-Document. Authors must provide a separate readme PDF listing all included files and documenting the purpose and format of each file provided, as well as instructing a user on how the replication can be conducted.

    (vi) Appendices (where appropriate). BD&S is able to host supplemental materials as appendices online alongside the full-text of articles. Where provided, supplemental files will be subjected to peer-review alongside the article and must be formatted in the same way as the article; accompanying text should not exceed 500 words except under exceptional circumstances and with the approval of the editors. This text is not included in the article word limit.

    Types of appendices accepted include:

    • Data;
    • Mathematical proofs;
    • Simulation code;
    • Description of an experiment used;
    • Details on the research design, including a discussion of alternatives or previously used designs;
    • Additional data analysis, including robustness analyses;
    • Additional tables or figures, presenting the main findings, also for additional variables used in the analysis.

    A variety of file types are accepted for data, graphics, audio and video.

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    8. Journal contributor's publishing agreement

    BD&S authors retain copyright under the terms outlined by which of the three Creative Commons Attribution Open Access License Agreements they would like their work to be published under (click on the links for more information about each):

    • CC-BY (Creative Commons Attribution)
    • CC-BY-NC (Creative Commons Attribution-Non-Commercial)
    • CC-BY-NC-ND (Creative Commons Attribution-Non-Commercial-No Derivatives)

    This choice must be made at the submission stage.
    Authors in receipt of research funding from some sources must select a specific licence, eg those funded whole or in part by the Research Councils UK must choose CC-BY.
    We seek to protect the rights of our authors and we always investigate claims of plagiarism or misuse of articles published in the Journal.

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    9. Proofs

    We will email a PDF of the proofs to the corresponding author. Proofs are supplied only to ensure that there are no copy-editing mistakes in the final version and that the printed version coincides with the accepted manuscript. Rewriting parts of the article at the proof stage is not possible. Fast turnaround of proofs will help ensure that work is published in the journal with a minimum of delay.

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    10. Further Information

    Any correspondence, queries or additional requests for information on the Manuscript Submission process should be sent to the Editorial Office as follows:
    bdseditors@gmail.com

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