Ten hot topics around scholarly publishing

Tennant, David; Крейн, Г.; Крик, Т.; Dávila, K.; Энхбаяр, А.; Хавеманн, Й.; Krämer, Bianca; Martin, Ryan A.; Масуццо, П.; Нобес, Э.; Райс, К.; Ривера-Лопес, Б.; Росс-Хеллауэр, Т.; Sattler, Susanne; Такер, П. Д.; Ванхолсбек, М.

doi:10.20913/1815-3186-2019-3-3-25

Cited by 22 publications

(27 citation statements)

References 133 publications

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“…There is still room for these key players to increase the quality of research and ethics. For example, to make further improvements in transparency, the government and public institutions can demonstrate stronger willingness to embrace open science with gestures such as funding for open‐access journals, encouraging the use of open data depositories and open‐source systems, promoting pre‐registered studies, and the rest (Tennant et al ., ).…”

Section: Academic Publishing: Quo Vadis?mentioning

confidence: 97%

The harsh world of publishing in emerging regions and implications for editors and publishers: The case of Vietnam

Vuong

2019

Learned Publishing

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This article discusses the emergence of academic publishing in a fast‐growing transition economy, Vietnam, where the race has heated up to publish in international journals, preferably with a high impact factor, and to accelerate the indexing of domestic journals. Within the fields of SSH alone, the publication output grew by 17% a year in the 2008–2018 period, encouraged by government policies and financial incentives for researchers. This review demonstrates an environment where there is sufficient financial growth to support increased R&D but limited skills and knowledge of how to increase quality publication output, either within national or international journals. The article highlights the drivers of increasing scientific publication output, as well as the traps and pitfalls that follow this competition. It suggests that there are opportunities for publishers and other organizations to improve ethical and practical publishing issues and to develop co‐publishing agreements that will increase the visibility of the country in international academia. The article indicates the harsh reality of pursuing higher publishing standards in academia, a world that has long been dominated by authors and publishers from industrialized countries.

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Section: Academic Publishing: Quo Vadis?mentioning

confidence: 97%

The harsh world of publishing in emerging regions and implications for editors and publishers: The case of Vietnam

Vuong

2019

Learned Publishing

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“…This is not a problem in itself since research should ideally benefit society by monitoring and addressing topical issues. The problem arises internally when academics start to rely on a flawed metric – the journal impact factor to assess scientific quality and thus decide how to distribute research funding. This practice promotes research that produces ‘sexy’, high‐impact ‘stories’– with impact no longer defining societal benefit, but the amount of attention received by a publication and its authors.…”

Section: The Problemsmentioning

confidence: 99%

“…Although many scientists are obsessed with the number of citations a paper receives and a journal's impact factor, as scientists we ought to know that using the mean of data that conform to a skewed distribution is invalid. The impact factor is exactly that, therefore the citation performance of individual papers cannot be inferred from this metric . Perhaps it would be better to promote a ‘rigour factor’ instead?…”

Section: Emerging Solutionsmentioning

confidence: 99%

Scientific impact and the quest for visibility

Madsen

2019

The FEBS Journal

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Current biomedical science is governed by an ‘economy of attention’ which has led to adoption of unhealthy research practices. From a junior scientist's perspective, such practices distort academic assessment and threaten the collective advancement of scientific knowledge. The Open Science movement promises to change this, provided that all scientists – irrespective of career stage – get on board.

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“…An alternative vision, that is gaining traction in the last few years, is to generate a semantically rich and interlinked description of the content of research publications [13,29,7,24]. Integrating this data would ultimately allow us to produce large scale knowledge graphs describing the state of the art in a field and all the relevant entities, e.g., tasks, methods, metrics, materials, experiments, and so on.…”

Section: Introductionmentioning

confidence: 99%

AI-KG: An Automatically Generated Knowledge Graph of Artificial Intelligence

Dessı̀

Osborne

Recupero

et al. 2020

Lecture Notes in Computer Science

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Scientific knowledge has been traditionally disseminated and preserved through research articles published in journals, conference proceedings, and online archives. However, this article-centric paradigm has been often criticized for not allowing to automatically process, categorize, and reason on this knowledge. An alternative vision is to generate a semantically rich and interlinked description of the content of research publications. In this paper, we present the Artificial Intelligence Knowledge Graph (AI-KG), a large-scale automatically generated knowledge graph that describes 820K research entities. AI-KG includes about 14M RDF triples and 1.2M reified statements extracted from 333K research publications in the field of AI, and describes 5 types of entities (tasks, methods, metrics, materials, others) linked by 27 relations. AI-KG has been designed to support a variety of intelligent services for analyzing and making sense of research dynamics, supporting researchers in their daily job, and helping to inform decision-making in funding bodies and research policymakers. AI-KG has been generated by applying an automatic pipeline that extracts entities and relationships using three tools: DyGIE++, Stanford CoreNLP, and the CSO Classifier. It then integrates and filters the resulting triples using a combination of deep learning and semantic technologies in order to produce a high-quality knowledge graph. This pipeline was evaluated on a manually crafted gold standard, yielding competitive results. AI-KG is available under CC BY 4.0 and can be downloaded as a dump or queried via a SPARQL endpoint.

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Ten hot topics around scholarly publishing

Cited by 22 publications

References 133 publications

The harsh world of publishing in emerging regions and implications for editors and publishers: The case of Vietnam

The harsh world of publishing in emerging regions and implications for editors and publishers: The case of Vietnam

Scientific impact and the quest for visibility

AI-KG: An Automatically Generated Knowledge Graph of Artificial Intelligence

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