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期刊名称：BIG DATA & SOCIETY ISSN： 2053-9517 出版频率： Continuous publication 出版社： SAGE PUBLICATIONS INC, 2455 TELLER RD, THOUSAND OAKS, USA, CA, 91320   出版社网址： https://journals.sagepub.com 期刊网址： https://journals.sagepub.com/home/bdsa 主题范畴： SOCIAL SCIENCES, INTERDISCIPLINARY 变更情况： Newly Added by 2019 期刊简介(About the journal)    投稿须知(Instructions to Authors)    编辑部信息(Editorial Board)    About the journal 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 1500 USD.  The article processing charge (APC) is payable when the manuscript is accepted after peer review, before it is published. The APC is subject to taxes where applicable. Tax-exempt status can be indicated by providing appropriate registration numbers when payment is requested. 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. Aims and Scope 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 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 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. 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. Instructions to Authors Manuscript Submission Guidelines:  Big Data & Society Manuscript Submission Guidelines 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 On acceptance and publication 8.1 SAGE Production 8.2 Online publication 8.3 Promoting your article Further information Editorial Board   Editor-in-Chief and Founding EditorEditor-in-Chief and Founding Editor Evelyn Ruppert Goldsmiths, University of London, UK Managing EditorManaging Editor Matthew Zook University of Kentucky, USA Co-EditorsCo-Editors Anatoliy Gruzd Ryerson University Jennifer Gabrys University of Cambridge, UK Agnieszka Leszczynski Western University, Canada Dhiraj Murthy University of Texas at Austin, USA Sung-Yueh Peng National Yang-Ming University, Taiwan Co-Editors – DemosCo-Editors – Demos Paolo Ciuccarelli Density Design Research Lab, Italy Richard Rogers University of Amsterdam, Netherlands Editorial AssistantEditorial Assistant Age Poom University of Helsinki, Finland and University of Tartu, Estonia Assistant EditorsAssistant Editors Margie Cheesman Oxford Internet Institute, UK Mei-chun Lee University of California-Davis, USA Helen Pritchard Goldsmiths, University of London, UK Julie D. Saperstein University of Kentucky, USA Advisory Board  Advisory Board Founding Co-EditorsFounding Co-Editors Adrian Mackenzie Australian National University, Australia Irina Shklovski IT University of Copenhagen, Denmark Judith Simon University of Hamburg, Germany Editorial BoardEditorial Board Jo Bates University of Sheffield, UK David Beer University of York, UK David Berry University of Sussex, UK Tobias Blanke King's College London, UK Danah Boyd Data & Society Research Institute, USA Wendy Hui Kyong Chun Simon Fraser University, Canada 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 Masato Fukushima University of Tokyo, Japan Kelly Gates University of California, San Diego, USA Carolin Gerlitz University of Siegen, Germany Tarleton Gillespie Microsoft Research, USA Olga Goriunova Royal Holloway, University of London, UK Mark Graham Oxford Internet Institute, University of Oxford Christine M Hine University of Surrey, UK William Housley Cardiff University, UK Christopher Kelty UCLA, USA Hannah Knox University College London, UK Sabina Leonelli University of Exeter, UK Deborah Lupton University of New South Wales, Australia Noortje Marres University of Warwick, UK Robert McGrath University of New Hampshire, USA Brent Mittelstadt University of Oxford, UK Anna Munster University of New South Wales, Australia Dawn Nafus Intel Labs, USA Han Woo Park Yeungnam University, South Korea Nick Seaver Tufts University, USA Harrison Smith Newcastle University, UK Hallam Stevens Nanyang Technological University, Singapore Jose van Dijck University of Utrecht, Netherlands Tommaso Venturini Sciences Po, France Farida Vis Manchester School of Art, Manchester Metropolitan University, UK Antonia Walford University College London, UK and University of Copenhagen, Denmark Karen Yeung University of Birmingham, UK Malte Ziewitz Cornell University, USA Advisory BoardAdvisory Board Michael Batty University College London, UK Geoff Bowker University of California, Irvine, USA Andrew Fearne University of East Anglia, 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, Ireland Bruno Latour Sciences Po, France Celia Lury University of Warwick, UK Adrian Mackenzie Australian National University, Australia 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, UK Ralph Schroeder University of Oxford, UK Irina Shklovski IT University of Copenhagen, Denmark Richard Webber Webber Phillips Ltd., UK Sally Wyatt Maastricht University, the Netherlands Jonathan Zittrain Harvard University, USA