Catégorie : EN

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Incidence of predatory journals in computer science literature

Authors : Simona Ibba, Filippo Eros Pani, John Gregory Stockton, Giulio Barabino, Michele Marchesi, Danilo Tigano

Purpose

One of the main tasks of a researcher is to properly communicate the results he obtained. The choice of the journal in which to publish the work is therefore very important. However, not all journals have suitable characteristics for a correct dissemination of scientific knowledge.

Some publishers turn out to be unreliable and, against a payment, they publish whatever researchers propose. The authors call “predatory journals” these untrustworthy journals.

The purpose of this paper is to analyse the incidence of predatory journals in computer science literature and present a tool that was developed for this purpose.

Design/methodology/approach

The authors focused their attention on editors, universities and publishers that are involved in this kind of publishing process. The starting point of their research is the list of scholarly open-access publishers and open-access stand-alone journals created by Jeffrey Beall.

Specifically, they analysed the presence of predatory journals in the search results obtained from Google Scholar in the engineering and computer science fields. They also studied the change over time of such incidence in the articles published between 2011 and 2015.

Findings

The analysis shows that the phenomenon of predatory journals somehow decreased in 2015, probably due to a greater awareness of the risks related to the reputation of the authors.

Originality/value

We focused on computer science field, using a specific sample of queries. We developed a software to automatically make queries to the search engine, and to detect predatory journals, using Beall’s list.

URL : Incidence of predatory journals in computer science literature

DOI : https://doi.org/10.1108/LR-12-2016-0108

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EN

Building a Disciplinary, World‐Wide Data Infrastructure

Authors: Françoise Genova, Christophe Arviset, Bridget M. Almas, Laura Bartolo, Daan Broeder, Emily Law, Brian McMahon

Sharing scientific data with the objective of making it discoverable, accessible, reusable, and interoperable requires work and presents challenges being faced at the disciplinary level to define in particular how the data should be formatted and described.

This paper represents the Proceedings of a session held at SciDataCon 2016 (Denver, 12–13 September 2016). It explores the way a range of disciplines, namely materials science, crystallography, astronomy, earth sciences, humanities and linguistics, get organized at the international level to address those challenges. T

he disciplinary culture with respect to data sharing, science drivers, organization, lessons learnt and the elements of the data infrastructure which are or could be shared with others are briefly described. Commonalities and differences are assessed.

Common key elements for success are identified: data sharing should be science driven; defining the disciplinary part of the interdisciplinary standards is mandatory but challenging; sharing of applications should accompany data sharing. Incentives such as journal and funding agency requirements are also similar.

For all, social aspects are more challenging than technological ones. Governance is more diverse, often specific to the discipline organization. Being problem‐driven is also a key factor of success for building bridges to enable interdisciplinary research.

Several international data organizations such as CODATA, RDA and WDS can facilitate the establishment of disciplinary interoperability frameworks. As a spin‐off of the session, a RDA Disciplinary Interoperability Interest Group is proposed to bring together representatives across disciplines to better organize and drive the discussion for prioritizing, harmonizing and efficiently articulating disciplinary needs.

URL : Building a Disciplinary, World‐Wide Data Infrastructure

DOI : http://doi.org/10.5334/dsj-2017-016

 

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EN

Betweenness and diversity in journal citation networks as measures of interdisciplinarity—A tribute to Eugene Garfield

Authors : Loet Leydesdorff, Caroline S. Wagner, Lutz Bornmann

Journals were central to Eugene Garfield’s research interests. Among other things, journals are considered as units of analysis for bibliographic databases such as the Web of Science and Scopus. In addition to providing a basis for disciplinary classifications of journals, journal citation patterns span networks across boundaries to variable extents.

Using betweenness centrality (BC) and diversity, we elaborate on the question of how to distinguish and rank journals in terms of interdisciplinarity. Interdisciplinarity, however, is difficult to operationalize in the absence of an operational definition of disciplines; the diversity of a unit of analysis is sample-dependent. BC can be considered as a measure of multi-disciplinarity.

Diversity of co-citation in a citing document has been considered as an indicator of knowledge integration, but an author can also generate trans-disciplinary—that is, non-disciplined—variation by citing sources from other disciplines.

Diversity in the bibliographic coupling among citing documents can analogously be considered as diffusion  or differentiation of knowledge across disciplines. Because the citation networks in the cited direction reflect both structure and variation, diversity in this direction is perhaps the best available measure of interdisciplinarity at the journal level.

Furthermore, diversity is based on a summation and can therefore be decomposed; differences among (sub)sets can be tested for statistical significance. In the appendix, a general-purpose routine for measuring diversity in networks is provided.

URL : Betweenness and diversity in journal citation networks as measures of interdisciplinarity—A tribute to Eugene Garfield

DOI : https://doi.org/10.1007/s11192-017-2528-2

 

 

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EN

Pursuing Best Performance in Research Data Management by Using the Capability Maturity Model and Rubrics

Authors : Jian Qin, Kevin Crowston, Arden Kirkland

Objective

To support the assessment and improvement of research data management (RDM) practices to increase its reliability, this paper describes the development of a capability maturity model (CMM) for RDM. Improved RDM is now a critical need, but low awareness of – or lack of – data management is still common among research projects.

Methods

A CMM includes four key elements: key practices, key process areas, maturity levels, and generic processes. These elements were determined for RDM by a review and synthesis of the published literature on and best practices for RDM.

Results

The RDM CMM includes five chapters describing five key process areas for research data management: 1) data management in general; 2) data acquisition, processing, and quality assurance; 3) data description and representation; 4) data dissemination; and 5) repository services and preservation.

In each chapter, key data management practices are organized into four groups according to the CMM’s generic processes: commitment to perform, ability to perform, tasks performed, and process assessment (combining the original measurement and verification).

For each area of practice, the document provides a rubric to help projects or organizations assess their level of maturity in RDM.

Conclusions

By helping organizations identify areas of strength and weakness, the RDM CMM provides guidance on where effort is needed to improve the practice of RDM.

URL : Pursuing Best Performance in Research Data Management by Using the Capability Maturity Model and Rubrics

DOI : https://doi.org/10.7191/jeslib.2017.1113

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EN

A landscape study on open access and monographs : Policies, funding and publishing in eight European countries

Authors : Eelco Ferwerda, Frances Pinter, Niels Stern

The report builds on i.a. 73 in-depth conversations, conducted across eight different countries (Denmark, Finland, Germany, Netherlands, United Kingdom, France, Norway and Austria) to understand current developments among three stakeholder groups: Publishers, funders and libraries. The importance of author attitudes, scholarly reward and incentive systems is also raised throughout the study by numerous interviewees.

The study shows that although the main OA policies do not include monographs, conversations about OA and monographs are surfacing and are expected to be accelerating over the next few years. The general explanation for monographs not being included in policies is the global focus on journal publishing and the perception that monographs are more complex to deal with than journals. Some also point to a lack of demand yet from authors.

In general, OA book publishers will comply with gold OA policies from funders and institutions. This is not the case for green OA. It appears that the current self archiving policies from publishers for books are largely restricted to book chapters.

The report also points towards the fact that funding schemes for books are lagging behind schemes for articles and their availability to fund the publishing process is somewhat ad hoc across the countries we’ve surveyed. Nevertheless the authors are ‘cautiously optimistic’ about the prospects for OA and monographs.

The report creates an overview of both the OA monographs policies, funding streams and publishing models for all eight countries for the first time.

URL : A landscape study on open access and monographs : Policies, funding and publishing in eight European countries

Alternative location : http://repository.jisc.ac.uk/id/eprint/6693

 

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EN

Towards Open Data for the Citation Content Analysis

Authors : Jose Manuel Barrueco, Thomas Krichel, Sergey Parinov, Victor Lyapunov, Oxana Medvedeva, Varvara Sergeeva

The paper presents first results of the CitEcCyr project funded by RANEPA. The project aims to create a source of open citation data for research papers written in Russian.

Compared to existing sources of citation data, CitEcCyr is working to provide the following added values: a) a transparent and distributed architecture of a technology that generates the citation data; b) an openness of all built/used software and created citation data; c) an extended set of citation data sufficient for the citation content analysis; d) services for public control over a quality of the citation data and a citing activity of researchers.

URL : https://arxiv.org/abs/1710.00302

Catégories
EN

Bounded Rationality in Scholarly Knowledge Discovery

Authors : Kristina Lerman, Nathan Hodas, Hao Wu

In an information-rich world, people’s time and attention must be divided among rapidly changing information sources and the diverse tasks demanded of them. How people decide which of the many sources, such as scientific articles or patents, to read and use in their own work affects dissemination of scholarly knowledge and adoption of innovation.

We analyze the choices people make about what information to propagate on the citation networks of Physical Review journals, US patents and legal opinions. We observe regularities in behavior consistent with human bounded rationality: rather than evaluate all available choices, people rely on simply cognitive heuristics to decide what information to attend to.

We demonstrate that these heuristics bias choices, so that people preferentially propagate information that is easier to discover, often because it is newer or more popular. However, we do not find evidence that popular sources help to amplify the spread of information beyond making it more salient.

Our paper provides novel evidence of the critical role that bounded rationality plays in the decisions to allocate attention in social communication.

URL : https://arxiv.org/abs/1710.00269