This manual focuses on the initial phase of a (digital) publishing process. It offers methods to critically examine the narrative structures of content and explore alternative conceptions of a publication. By raising the question of how modular publishing can be used as a way to create, edit and structure content it tries to resist a monolithic story line, and embraces multiple perspectives.
Article Evaluation of a Commercial Electronic Nose Based on Carbon Nanotube Chemiresistors
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Open access combined with Web 2.0 networking tools is fast changing the traditional journal's functions and framework and the publisher's role. As content is more and more available online in digital repositories and on the web, an integrated, interconnected, multidisciplinary information environment is evolving and Oldenburg's model disintegrates: the journal is no longer the main referring unit for scholarly output, as it used to be, for Scientific, Technical, and Medical disciplines, but scholars' attention is now more focused on the article level. New journals models are thus evolving. The first part of this paper discusses these new experimental journal models, i.e. overlay journals, interjournals and different levels journals. The second part directs readers' attention to the role commercial publishers could play in this digital seamless writing arena. The authors consider that publishers should concentrate much more on value-added services for authors, readers and libraries, such as navigational services, discovery services, archiving and evaluation services.
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The scientific publishing industry is rapidly transitioning towards information analytics. This shift is disproportionately benefiting large companies. These can afford to deploy digital technologies like knowledge graphs that can index their contents and create advanced search engines. Small and medium publishing enterprises, instead, often lack the resources to fully embrace such digital transformations. This divide is acutely felt in the arts, humanities and social sciences. Scholars from these disciplines are largely unable to benefit from modern scientific search engines, because their publishing ecosystem is made of many specialized businesses which cannot, individually, develop comparable services. We propose to start bridging this gap by democratizing access to knowledge graphs – the technology underpinning modern scientific search engines – for small and medium publishers in the arts, humanities and social sciences. Their contents, largely made of books, already contain rich, structured information – such as references and indexes – which can be automatically mined and interlinked. We plan to develop a framework for extracting structured information and create knowledge graphs from it. We will as much as possible consolidate existing proven technologies into a single codebase, instead of reinventing the wheel. Our consortium is a collaboration of researchers in scientific information mining, Odoma, an AI consulting company, and the publisher Brill, sharing its data and expertise. Brill will be able to immediately put to use the project results to improve its internal processes and services. Furthermore, our results will be published in open source with a commercial-friendly license, in order to foster the adoption and future development of the framework by other publishers. Ultimately, our proposal is an example of industry innovation where, instead of scaling-up, we scale wide by creating a common resource which many small players can then use and expand upon.
