Authors : Dal-Ré R., Marušić A.
The International Committee of Medical Journal Editors (ICMJE) has expressed its concerns about predatory journals using the list of ICMJE Recommendations (ICMJE-R) followers to “gain the appearance of legitimacy.”
We assessed the presence of potential predatory journals on the ICMJE-R list and their adherence to ICMJE recommendations.
A random sample of 350 journals from the estimated 3,100-3,200 biomedical journals listed as ICMJE-R followers was chosen. Data collected from the ICMJE and journal webpages in English were: adherence to six ICMJE-R policies/requirements, year of journal’s listing as ICMJE-R follower, discipline covered, publisher and its country of origin and existence of article processing charge.
Potential predatory journal was considered as one open access journal not being a member of a recognized listing in COPE, DOAJ, OASPA, AJOL and/or INASP.
Thirty-one percent of journals were considered to be potentially predatory; 94% of them were included in the ICMJE-R list in 2014-2018. Half were published in the United States and 62% were devoted to medicine.
Adherence to five of the six policies/requirements was infrequent, ranging from 51% (plagiarism) to 7% (trial registration). Seventy-two percent of journals mentioned a policy on authors’ conflicts of interest. Information on article processing charge was available for 76% journals and could not be found for 22%.
Authorship policy/ instructions were significantly more present in journals with publishers from India than from the USA (53% vs 30%; p = 0.047), with no differences in the other five policies.
Predatory journals should be deleted from the ICMJE-R list of followers to prevent misleading authors. ICMJE-R following journals need to be reevaluated with pre-defined published criteria.
URL : http://www.njmonline.nl/getpdf.php?id=2093
Authors : Eamon Costello, Richard Bolger, Tiziana Soverino, Mark Brown
The rising cost of textbooks for students has been highlighted as a major concern in higher education, particularly in the US and Canada. Less has been reported, however, about the costs of textbooks outside of North America, including in Europe.
We address this gap in the knowledge through a case study of one Irish higher education institution, focusing on the cost, accessibility, and licensing of textbooks. We report here on an investigation of textbook prices drawing from an official college course catalog containing several thousand books.
We detail how we sought to determine metadata of these books including: the formats they are available in, whether they are in the public domain, and the retail prices.
We explain how we used methods to automatically determine textbook costs using Google Books API and make our code and dataset publicly available.
URL : Determining Textbook Cost, Formats, and Licensing with Google Books API: A Case Study from an Open Textbook Project
Author: Tessa E. Pronk
Among the frequently stated benefits of sharing research data are time efficiency or increased productivity. The assumption is that reuse or secondary use of research data saves researchers time in not having to produce data for a publication themselves.
This can make science more efficient and productive. However, if there is no reuse, time costs in making data available for reuse will have been made with no return on this investment.
In this paper a mathematical model is used to calculate the break-even point for time spent sharing in a scientific community, versus time gain by reuse. This is done for several scenarios; from simple to complex datasets to share and reuse, and at different sharing rates.
The results indicate that sharing research data can indeed cause an efficiency revenue for the scientific community. However, this is not a given in all modeled scenarios.
The scientific community with the lowest reuse needed to reach a break-even point is one that has few sharing researchers and low time investments for sharing and reuse.
This suggests it would be beneficial to have a critical selection of datasets that are worth the effort to prepare for reuse in other scientific studies. In addition, stimulating reuse of datasets in itself would be beneficial to increase efficiency in scientific communities.
URL : The Time Efficiency Gain in Sharing and Reuse of Research Data
DOI : http://doi.org/10.5334/dsj-2019-010
Authors : Amel Charleux, Anne Mione
Cette recherche identifie les business models (BM) mis en œuvre par les éditeurs de logiciels libres et open source. Ces modèles requièrent une approche originale des BM parce que la création de la valeur dépend de l’attractivité du projet auprès de contributeurs dont le nombre, la qualité et la diversité ne sont pas contrôlés.
Cette spécificité pose la question du partage d’une valeur qui ne peut pas être anticipée ni formellement négociée. Nous procédons à une analyse quantitative de près de 200 logiciels et réalisons une taxonomie par la méthode TwoStep Cluster. Nos résultats mettent au jour quatre BM, engagement, exploration, expertise et optimisation.
URL : https://journals.openedition.org/fcs/2088
Authors : Manorama Tripathi, Sharad Kumar Sonkar, Sunil Kumar
Retraction is the withdrawal of published article after it is found that the authors did not ensure integrity in conducting and reporting their research activities. The bibliometric information of 4716 document categorised as retractions in Science Citation Index, Web of Science was downloaded and analysed to understand trend, pattern and reasons of retraction.
The results showed that retractions had increased during the ten-year period, 2008-2017. The main reasons for retractions were plagiarism, falsified data, manipulation of images and figures. It was also found that just 40 out of 4716 retraction notices had explicitly stated reasons for retracting the published articles.
The open access journals had more number of retractions as compared to subscription based journals. The study will guide library professionals and research scholars towards a better comprehension of the reasons behind retractions in science discipline in the ten-year period.
They would be better equipped to steer clear of inauthentic publications in their citations and references.
URL : A cross sectional study of retraction notices of scholarly journals of science
Alternative location : http://publications.drdo.gov.in/ojs/index.php/djlit/article/view/14000
Authors : Jonathan P Tennant, Harry Crane, Tom Crick, Jacinto Davila, Asura Enkhbayar, Johanna Havemann, Bianca Kramer, Ryan Martin, Paola Masuzzo, Andy Nobes, Curt Rice, Bárbara R López, Tony Ross-Hellauer, Susanne Sattler, Paul Thacker, MarcVanholsbeeck
The changing world of scholarly communication and the emergence of ‘Open Science’ or ‘Open Research’ has brought to light a number of controversial and hotly-debated topics.
Yet, evidence-based rational debate is regularly drowned out by misinformed or exaggerated rhetoric, which does not benefit the evolving system of scholarly communication.
The aim of this article is to provide a baseline evidence framework for ten of the most contested topics, in order to help frame and move forward discussions, practices and policies. We address preprints and scooping, the practice of copyright transfer, the function of peer review, and the legitimacy of ‘global’ databases.
The presented facts and data will be a powerful tool against misinformation across wider academic research, policy and practice, and may be used to inform changes within the rapidly evolving scholarly publishing system.
URL : Ten myths around open scholarly publishing
DOI : https://doi.org/10.7287/peerj.preprints.27580v1
Authors : Kathleen Gregory, Paul Groth, Helena Cousijn, Andrea Scharnhorst, Sally Wyatt
A cross‐disciplinary examination of the user behaviors involved in seeking and evaluating data is surprisingly absent from the research data discussion. This review explores the data retrieval literature to identify commonalities in how users search for and evaluate observational research data in selected disciplines.
Two analytical frameworks, rooted in information retrieval and science and technology studies, are used to identify key similarities in practices as a first step toward developing a model describing data retrieval.
URL : Searching Data: A Review of Observational Data Retrieval Practices in Selected Disciplines
DOI : https://doi.org/10.1002/asi.24165