scholarly journals Open Editors: A Dataset of Scholarly Journals’ Editorial Board Positions

2021 ◽  
Author(s):  
Andreas Pacher ◽  
Tamara Heck ◽  
Kerstin Schoch
Keyword(s):  
Large Scale ◽  
Open Data ◽  
Scientific Publication ◽  
Academic Journal ◽  
Editorial Boards ◽  
Scientific Investigations ◽  
Scholarly Publications ◽  
Available Information ◽  
Machine Readable

Editormetrics analyse the role of editors of academic journals and their impact on the scientific publication system. However, such analyses would best rely on open, structured and machine-readable data on editors and editorial boards, whose availability still remains rare. To address this shortcoming, the project Open Editors collects data about academic journal editors on a large scale and structures them into a single dataset. It does so by scraping the websites of 6.090 journals from 17 publishers, thereby structuring publicly available information (names, affiliations, editorial roles etc.) about 478.563 researchers. The project will iterate this webscraping procedure annually to enable insights into the changes of editorial boards over time. All codes and data are made available at GitHub, while the result is browsable at a dedicated website (https://openeditors.ooir.org). This dataset carries wide-ranging implications for meta-scientific investigations into the landscape of scholarly publications, including for bibliometric analyses, and allows for critical inquiries into the representation of diversity and inclusivity. It also contributes to the goal of expanding linked open data within science to evaluate and reflect on the scholarly publication process.

Towards Big Linked Data

2013 ◽  
Vol 9 (4) ◽  
pp. 19-43 ◽  
Author(s):  
Bo Hu ◽  
Nuno Carvalho ◽  
Takahide Matsutsuka
Keyword(s):  
Big Data ◽  
Large Scale ◽  
Stress Test ◽  
Open Data ◽  
Small Data ◽  
Data Sets ◽  
And Performance ◽  
Machine Readable ◽  
Future Work ◽  
Semantic Layer

In light of the challenges of effectively managing Big Data, the authors are witnessing a gradual shift towards the increasingly popular Linked Open Data (LOD) paradigm. LOD aims to impose a machine-readable semantic layer over structured as well as unstructured data and hence automate some data analysis tasks that are not designed for computers. The convergence of Big Data and LOD is, however, not straightforward: the semantic layer of LOD and the Big Data large scale storage do not get along easily. Meanwhile, the sheer data size envisioned by Big Data denies certain computationally expensive semantic technologies, rendering the latter much less efficient than their performance on relatively small data sets. In this paper, the authors propose a mechanism allowing LOD to take advantage of existing large-scale data stores while sustaining its “semantic” nature. The authors demonstrate how RDF-based semantic models can be distributed across multiple storage servers and the authors examine how a fundamental semantic operation can be tuned to meet the requirements on distributed and parallel data processing. The authors' future work will focus on stress test of the platform in the magnitude of tens of billions of triples, as well as comparative studies in usability and performance against similar offerings.

scholarly journals REVIEW AND RATINGS OF SCIENTIFIC JOURNALS OF URBAN STUDIES

2017 ◽  
pp. 229-237
Author(s):  
Oleksandr Okhrimenko
Keyword(s):  
Urban Planning ◽  
Urban Studies ◽  
Urban Policy ◽  
Urban Economics ◽  
Early Period ◽  
Academic Journal ◽  
Editorial Boards ◽  
Anglo American ◽  
Policy And Planning

The review of the academic journals on urban studies shows a pattern of periodicals from their founding to the present. The development of scientific bulletins associated with growing research centres and urban studies in general. The early period of 1960’s-1980’s connected with rising of national schools of this direction of science. During this time the periodicals in nationallanguages prevalent. With the globalization of nowadays, the predominance of publication in English is observed. It is noted the current change of the form of publication – from the paper to electronic – and modifying of journals’ role as a form of communication and presentation of research results. The author reviewed the journal by the national schools and made notes on access to the publication via the Internet, publishers’ websites. The leading American journals on urban studies (such as Journal of Urban Economics, Urban Geography, Journal of Urban Planning and Development) show the diversity of direction of urban studies and the importance of interdisciplinary in researches. British bulletins (International Journal ofUrban and Regional Research, Urban Studies Journal, Cities: The International Journal of Urban Policy and Planning etc.) have the highest ranking and influence. The Netherlands journals (Regional Science and Economics, Landscape and Urban Planning) gathered on the editorial boards the international teams of experts for achieving the high ranking. French publications of SAPIENS and Historie Urbaine are relatively ‘young’ and growing at nationalurban studies centres. Italian Scienze Regionali, Territorio, Città e Storia, polish Bulletin of Geography. Socio-economic Series journals are developing at university centres and display the socio-geographical approach of urban studies. The author notes the editors of journals as the prominent research of urban studies.The review gives three rankings on urban studies journals – Web of Science, Google Scholar, SCImago Journal, and Country Rank. It shows the dominance of the Anglo-American system of academic journal publishing.As a conclusion, the author shows that successful modern academic journal on urban studies is edited in English at the science centre with the international editorial board, it has both paper and web version with quarterly at the least regularity of issuing.

The Use of Medical Record Linkage for Population and Genetic Studies

1969 ◽  
Vol 08 (01) ◽  
pp. 07-11 ◽  
Author(s):  
H. B. Newcombe
Keyword(s):  
Record Linkage ◽  
Large Scale ◽  
Medical Record Linkage ◽  
Canadian Province ◽  
Genetic Studies ◽  
Parental Characteristics ◽  
Family Histories ◽  
The Family ◽  
Large Populations ◽  
Machine Readable

Methods are described for deriving personal and family histories of birth, marriage, procreation, ill health and death, for large populations, from existing civil registrations of vital events and the routine records of ill health. Computers have been used to group together and »link« the separately derived records pertaining to successive events in the lives of the same individuals and families, rapidly and on a large scale. Most of the records employed are already available as machine readable punchcards and magnetic tapes, for statistical and administrative purposes, and only minor modifications have been made to the manner in which these are produced.As applied to the population of the Canadian province of British Columbia (currently about 2 million people) these methods have already yielded substantial information on the risks of disease: a) in the population, b) in relation to various parental characteristics, and c) as correlated with previous occurrences in the family histories.

Editorial

2017 ◽  
Author(s):  
Vu Chi Kien ◽  
Do Ngoc Minh ◽  
Nguyen Hoang Ha ◽  
Nguyen Linh Trung
Keyword(s):  
Good Practice ◽  
Scientific Publication ◽  
Associate Editor ◽  
Open Access Journal ◽  
Object Identification ◽  
Online Journal ◽  
International Visibility ◽  
National University ◽  
Standard Practices

Dear readers,The year 2017 marks the 55th anniversary of the Journal of Information & Communications of the Ministry of Information and Communications, and the 18th anniversary of its scientific publication – the Research and Development on Information and Communication Technology (RD-ICT) journal. Again, the purpose of RD-ICT is to provide a forum for researchers and professionals to disseminate original and innovative ideas in the fields of information technology, communications and electronics in Vietnam and worldwide.Without kind support and invaluable contribution of readers and authors, and hard work of the anonymous reviewers and editors under the former editorship of Prof. Nguyễn Thúc Hải, Prof. Trần Văn Lộc and Prof. Nguyễn Cảnh Tuấn, RD-ICT would not be what it is today – a total of 37 issues in Vietnamese and 14 issues in English.To contribute to the development of research in Vietnam, toward standard practices, high quality and international visibility, RD-ICT has been taking measures by following current practices of prestigious international research journals. In this editorial, we would like to inform you some of the things we have been doing lately.Since June 2014, RD-ICT has applied online journal management and publishing, thanks to the well-known open-source Open Journal System of the Public Knowledge Project, which is used by thousands of online scientific journals worldwide. The editorial board of RD-ICT is currently being extended to include international prominent scientists, thus forming a team of international associate editors, under the complementary technical editorship of Prof. Đỗ Ngọc Minh (University of Illinois at Urbana-Champaign, United States), Prof. Nguyễn Hoàng Hà (University of Saskatchewan, Canada) and Prof. Nguyễn Linh Trung (Vietnam National University, Hanoi). Each submission is now assigned to an associate editor who then coordinates the review process and makes editorial decision.For improved paper quality in terms of organization and presentation, authors are guided to good practice of technical paper writing. In addition, accepted submissions are now copy-edited, by the corresponding associate editors, and laid out using LATEX.Apart from already being an open-access journal, RD-ICT is also looking into other measures to increase its visibility, such as all-English publishing, digital object identification, Google Scholar citation, and SCOPUS indexing.Taking the opportunity of informing the above changes, we would like to, again, express our sincere gratitude and appreciation to the readers, authors, reviewers and editors of RD-ICT, and to the leadership of the Ministry of Information and Communications and its predecessors – the Directorate General of Posts and Telecommunications, the Ministry of Post and Telecommunications – for their continued support and contribution to RD-ICT.We look forward to your comments and feedback for better developing the RD-ICT journal for Vietnam.Sincerely,Vũ Chí Kiên, Editor-in-ChiefĐỗ Ngọc Minh, Nguyễn Hoàng Hà, Nguyễn Linh Trung, Technical Editors-in-Chief

scholarly journals A Large-Scale COVID-19 Twitter Chatter Dataset for Open Scientific Research—An International Collaboration

Epidemiologia ◽  
2021 ◽  
Vol 2 (3) ◽  
pp. 315-324
Author(s):  
Juan M. Banda ◽  
Ramya Tekumalla ◽  
Guanyu Wang ◽  
Jingyuan Yu ◽  
Tuo Liu ◽  
...  
Keyword(s):  
Large Scale ◽  
Social Dynamics ◽  
Additional Data ◽  
Open Data ◽  
Data Sources ◽  
Research Projects ◽  
Research Groups ◽  
The World ◽  
Data Source

As the COVID-19 pandemic continues to spread worldwide, an unprecedented amount of open data is being generated for medical, genetics, and epidemiological research. The unparalleled rate at which many research groups around the world are releasing data and publications on the ongoing pandemic is allowing other scientists to learn from local experiences and data generated on the front lines of the COVID-19 pandemic. However, there is a need to integrate additional data sources that map and measure the role of social dynamics of such a unique worldwide event in biomedical, biological, and epidemiological analyses. For this purpose, we present a large-scale curated dataset of over 1.12 billion tweets, growing daily, related to COVID-19 chatter generated from 1 January 2020 to 27 June 2021 at the time of writing. This data source provides a freely available additional data source for researchers worldwide to conduct a wide and diverse number of research projects, such as epidemiological analyses, emotional and mental responses to social distancing measures, the identification of sources of misinformation, stratified measurement of sentiment towards the pandemic in near real time, among many others.

scholarly journals CFTR Lifecycle Map—A Systems Medicine Model of CFTR Maturation to Predict Possible Active Compound Combinations

2021 ◽  
Vol 22 (14) ◽  
pp. 7590
Author(s):  
Liza Vinhoven ◽  
Frauke Stanke ◽  
Sylvia Hafkemeyer ◽  
Manuel Manfred Nietert
Keyword(s):  
Large Scale ◽  
Synergistic Effects ◽  
Small Scale ◽  
Systems Medicine ◽  
Promising Candidate ◽  
Cftr Mutations ◽  
Machine Readable ◽  
High Throughput Screens ◽  
Readable Format ◽  
Machine Readable Format

Different causative therapeutics for CF patients have been developed. There are still no mutation-specific therapeutics for some patients, especially those with rare CFTR mutations. For this purpose, high-throughput screens have been performed which result in various candidate compounds, with mostly unclear modes of action. In order to elucidate the mechanism of action for promising candidate substances and to be able to predict possible synergistic effects of substance combinations, we used a systems biology approach to create a model of the CFTR maturation pathway in cells in a standardized, human- and machine-readable format. It is composed of a core map, manually curated from small-scale experiments in human cells, and a coarse map including interactors identified in large-scale efforts. The manually curated core map includes 170 different molecular entities and 156 reactions from 221 publications. The coarse map encompasses 1384 unique proteins from four publications. The overlap between the two data sources amounts to 46 proteins. The CFTR Lifecycle Map can be used to support the identification of potential targets inside the cell and elucidate the mode of action for candidate substances. It thereby provides a backbone to structure available data as well as a tool to develop hypotheses regarding novel therapeutics.

scholarly journals Building Damage Detection Using U-Net with Attention Mechanism from Pre- and Post-Disaster Remote Sensing Datasets

2021 ◽  
Vol 13 (5) ◽  
pp. 905
Author(s):  
Chuyi Wu ◽  
Feng Zhang ◽  
Junshi Xia ◽  
Yichen Xu ◽  
Guoqing Li ◽  
...  
Keyword(s):  
Damage Assessment ◽  
Large Scale ◽  
Binary Classification ◽  
Open Data ◽  
Building Damage ◽  
Attention Mechanism ◽  
Large Scale Dataset ◽  
Data Program ◽  
The Impact ◽  
Post Disaster

The building damage status is vital to plan rescue and reconstruction after a disaster and is also hard to detect and judge its level. Most existing studies focus on binary classification, and the attention of the model is distracted. In this study, we proposed a Siamese neural network that can localize and classify damaged buildings at one time. The main parts of this network are a variety of attention U-Nets using different backbones. The attention mechanism enables the network to pay more attention to the effective features and channels, so as to reduce the impact of useless features. We train them using the xBD dataset, which is a large-scale dataset for the advancement of building damage assessment, and compare their result balanced F (F1) scores. The score demonstrates that the performance of SEresNeXt with an attention mechanism gives the best performance, with the F1 score reaching 0.787. To improve the accuracy, we fused the results and got the best overall F1 score of 0.792. To verify the transferability and robustness of the model, we selected the dataset on the Maxar Open Data Program of two recent disasters to investigate the performance. By visual comparison, the results show that our model is robust and transferable.

scholarly journals Mesophotic.org: a repository for scientific information on mesophotic ecosystems

Database ◽  
2019 ◽  
Vol 2019 ◽  
Author(s):  
Pim Bongaerts ◽  
Gonzalo Perez-Rosales ◽  
Veronica Z Radice ◽  
Gal Eyal ◽  
Andrea Gori ◽  
...  
Keyword(s):  
Large Scale ◽  
Scientific Information ◽  
Temporal Trends ◽  
Light Availability ◽  
Research Community ◽  
Future Research ◽  
Photosynthetic Organisms ◽  
Future Research Directions ◽  
Available Information ◽  
Reduced Light

Abstract Mesophotic coral ecosystems (MCEs) and temperate mesophotic ecosystems (TMEs) occur at depths of roughly 30–150 m depth and are characterized by the presence of photosynthetic organisms despite reduced light availability. Exploration of these ecosystems dates back several decades, but our knowledge remained extremely limited until about a decade ago, when a renewed interest resulted in the establishment of a rapidly growing research community. Here, we present the ‘mesophotic.org’ database, a comprehensive and curated repository of scientific literature on mesophotic ecosystems. Through both manually curated and automatically extracted metadata, the repository facilitates rapid retrieval of available information about particular topics (e.g. taxa or geographic regions), exploration of spatial/temporal trends in research and identification of knowledge gaps. The repository can be queried to comprehensively obtain available data to address large-scale questions and guide future research directions. Overall, the ‘mesophotic.org’ repository provides an independent and open-source platform for the ever-growing research community working on MCEs and TMEs to collate and expedite our understanding of the occurrence, composition and functioning of these ecosystems. Database URL: http://mesophotic.org/

Scientific journal in the educational space of the university

2021 ◽  
pp. 137-145
Author(s):  
Akhurbek А. Magometov ◽  
Boris A. Takhokhov
Keyword(s):  
Scientific Journal ◽  
Scientific Publication ◽  
Educational Process ◽  
Teaching Staff ◽  
Perspective View ◽  
Research Activities ◽  
The University ◽  
The Impact

The article presents the authors ‘view on the activities of the scientific journal” Bulletin of the North Ossetian State University named after K. L. Khetagurov”. The relevance of the article is due to a significant increase in the role of research work of teachers and students of universities and the requirements for their publication activity; the importance for the university of having highly rated scientific journals and the increasing importance of the scientific publication of the university for improving the training of students. At the scientific and theoretical level, the changes that were determined by the modernization of education in the country and the need to improve the quality of scientific publications in accordance with the vector of development of international high-ranking publications and the desire of the university management and the editorial board to keep the journal in the trend of modern science are understood. Attention is paid to the problem of evaluating and reviewing scientific articles, the idea of the impact of reviews on the development of scientific knowledge is justified; the systematic work of the editorial board on the introduction of scientific research into the educational process of the university is shown. The new tasks of the editorial board are considered, the solution of which will contribute to improving the quality of the publication and the research activities of the teaching staff and students of the university. The purpose of the work is to substantiate the author’s approach to the current state, functioning and perspective view of the development of the university scientific publication and to determine its place in the modern scientific and educational space. The research methodology is based on systematic, activity-based and culturological approaches using such methods as systematization, generalization, analysis, description and comparison.

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