scholarly journals Reproducible Workflow for Cartography – Migrants Deaths in the Mediterranean

2019 ◽  
Vol 2 ◽  
pp. 1-7
Author(s):  
Timothée Giraud ◽  
Nicolas Lambert
Keyword(s):  
Open Data ◽  
Scientific Production ◽  
Free Software ◽  
R Software ◽  
Software Ecosystem ◽  
New Knowledge ◽  
The Mediterranean

<p><strong>Abstract.</strong> As any scientific production, maps must be disputed and debated. The implementation of reproducible processes based on free software and open data is essential. In this paper, we demonstrate that this objective can be achieved in the R software ecosystem. In our demonstration, we propose a set of cartographic visualizations based on the example of dead and missing migrants in the Mediterranean over the period 2014–2018. Each representation focuses on one aspect of the phenomenon and the R code used is available. We argue that this multi-visualization contributes to bring new knowledge on the migration debate at European borders and aims at illustrating its geographical complexity.</p>

scholarly journals Critérios para avaliação de ferramentas para repositório conforme a Ciência Aberta

2017 ◽  
Vol 6 (2) ◽  
Author(s):  
Angélica Conceição Dias Miranda ◽  
Milton Shintaku ◽  
Simone Machado Firme
Keyword(s):  
Open Access ◽  
Evaluation Criteria ◽  
Open Data ◽  
Open Science ◽  
Scientific Production ◽  
Open File ◽  
Research Institutes ◽  
Criteria For Evaluation ◽  
Science Movement ◽  
Bibliographic Study

Resumo: Os repositórios têm se tornado comum nas universidades e institutos de pesquisa, como forma de ofertar acesso à produção científica e, com isso, dar visibilidade à instituição. Entretanto, em muitos casos ainda estão restritos aos conceitos do movimento do arquivo aberto e acesso aberto, sendo que já se discute o Movimento da Ciência Aberta, revelando certo descompasso, requerendo estudos que apoiem a atualização dessa importante ferramenta. Nesse sentido, o presente estudo verifica os requisitos envolvidos nos movimentos abertos, de forma a apoiar a discussão técnica e tecnológica. Um estudo bibliográfico, que transforma as informações sobre os movimentos em critérios para avaliação de ferramentas para criação de repositórios, apresentando a implementação da interação como um novo desafio. Nas considerações procura-se contribuir com a discussão sobre a Ciência Aberta, de forma mais aplicada bem como o ajuste dos repositórios a esse movimento.Palavras-chave: Repositórios.  Critérios de avaliação. Arquivo aberto. Acesso aberto. Dados abertos. Ciência aberta.SURVEY OF CRITERIA FOR EVALUATION OF REPOSITORY TOOLS ACCORDING TO OPEN SCIENCE Abstract: Repositories have become common in universities and research institutes, as a way of offering access to scientific production, thereby giving visibility to the institution. Meanwhile, in many cases, repositories are restricted to the concepts of open movement and open access considering that the Open Science Movement is already being discussed. Regarding this matter, this study verifies the requirements involved in the open movements, in order to support a technical and technological discussion.  A bibliographic study that transforms information about movements into criteria to evaluate tools used to create repositories, presenting an implementation of interaction as a new challenge. In the considerations, we contribute with a discussion about an Open Science, in a more applied way, as well as the adjustment of the repositories to this movement.Keywords: Repositories. Evaluation Criteria. Open File. Open Access. Open Data. Open Science.

scholarly journals Scientific collaboration network ammong Brazilian universities

2013 ◽  
Vol 6 (1) ◽  
Author(s):  
Maria Isabel Escalona-Fernandez ◽  
Antonio Pulgarin-Guerrero ◽  
Ely Francina Tannuri de Oliveira ◽  
Maria Cláudia Cabrini Gracio
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Scientific Collaboration ◽  
Methodological Approach ◽  
Scientific Production ◽  
Collaboration Network ◽  
Network Data ◽  
New Knowledge

This paper analyses the scientific collaboration network formed by the Brazilian universities that investigate in dentistry area. The constructed network is based on the published documents in the Scopus (Elsevier) database covering a period of 10 (ten) years. It is used social network analysis as the best methodological approach to visualize the capacity for collaboration, dissemination and transmission of new knowledge among universities. Cohesion and density of the collaboration network is analyzed, as well as the centrality of the universities as key-actors and the occurrence of subgroups within the network. Data were analyzed using the software UCINET and NetDraw. The number of documents published by each university was used as an indicator of its scientific production.

scholarly journals The Application of Fractional Calculus in Chinese Economic Growth Models

Mathematics ◽  
2019 ◽  
Vol 7 (8) ◽  
pp. 665 ◽  
Author(s):  
Hao Ming ◽  
JinRong Wang ◽  
Michal Fečkan
Keyword(s):  
Fractional Order ◽  
Growth Models ◽  
Free Software ◽  
Statistical Computing ◽  
Order Model ◽  
Software Environment ◽  
R Software ◽  
Fractional Order Calculus ◽  
Economic Growth Models ◽  
Bic Criterion

In this paper, we apply Caputo-type fractional order calculus to simulate China’s gross domestic product (GDP) growth based on R software, which is a free software environment for statistical computing and graphics. Moreover, we compare the results for the fractional model with the integer order model. In addition, we show the importance of variables according to the BIC criterion. The study shows that Caputo fractional order calculus can produce a better model and perform more accurately in predicting the GDP values from 2012–2016.

Evolution of the R software ecosystem: Metrics, relationships, and their impact on qualities

2017 ◽  
Vol 132 ◽  
pp. 119-146 ◽  
Author(s):  
Konstantinos Plakidas ◽  
Daniel Schall ◽  
Uwe Zdun
Keyword(s):  
R Software ◽  
Software Ecosystem

scholarly journals DISSEMINATING KNOWLEDGE THROUGH TAGS: RECOMMENDING TAGS FOR SCIENTIFIC RESOURCES

2016 ◽  
Vol 3 (1) ◽  
pp. 39-58
Author(s):  
A. Us Saeed ◽  
M.T. Afzal ◽  
A. Latif ◽  
K. Tochtermann
Keyword(s):  
Open Data ◽  
Knowledge Diffusion ◽  
Past Research ◽  
Research Knowledge ◽  
Scientific Publications ◽  
Social Bookmarking ◽  
Tag Cloud ◽  
Potential Flows ◽  
New Knowledge ◽  
Author Keywords

Knowledge diffusion has prime importance for generation of new knowledge. The creation of new knowledge is not possible without referring or consulting the past work. Two very important potential flows related to knowledge diffusion can be observed in the common practice of researchers. First, in scientific research knowledge diffusion estimation using citation counts is generally used to establish the value of knowledge which inflates citations. Second the researchers use cited work to search the connected and related resources. Recently the social and collaborative phenomena termed as Web 2.0 has spurred new era of knowledge and information flow on the web. Its potential for the growth and diffusion of scientific knowledge has not been well explored. The emerging social and collaborative applications, such as tagging and bookmarking, are transforming the ways scientists and researchers organize their personal and collaborative information spaces. These bookmarking and tagging applications provide open data and rich metadata resources such as tags. Past research shows that the bookmarking and tagging can be used as a supplementary indicator for measuring research popularity and knowledge diffusion. However the current work exploits author keywords of scientific publications to link these resources with relevant tags extracted from a social bookmarking application such as CiteULike. This work compares, for a focus resource, the tags extracted from CiteULike based on author keywords with their corresponding tag cloud of CiteULike. The result shows that system extends the authors keyword set with social tags providing links to rich and focused resources in CiteULike. This also enhances the serendipitous discovery of emerging concepts related to the focused resource. Such a system may enhance the discovery of related and popular resources for researchers. This dataset has been made available publicly for scientific community.

scholarly journals Access and analysis of ISTAC data through the use of R and Shiny

2018 ◽  
Author(s):  
Christian González-Martel ◽  
José M. Cazorla-Artiles ◽  
Carlos J. Pérez-González
Keyword(s):  
Data Science ◽  
Open Data ◽  
Computational Social Science ◽  
Information Resources ◽  
Free Software ◽  
Reproducible Research ◽  
Full Potential ◽  
Data Set ◽  
New Information ◽  
Shiny App

The increasing availability of open data resources provides opportunities for research and data science. It is necessary to develope tools that take advantage of the full potential of new information resources. In this work we developed the package for R istacr that provides a collection of eurostat functions to be able to consult and discard the data that Eurostat, including functions to retrieve, download and manipulate the data set available through the ISTAC BASE API of the Canary Institute of Statistics (ISTAC). In addition, A Shiny app was designed for a responsive visulization of the data. This develope is part of the growing demand for open data and ecosystems dedicated to reproducible research in computational social science and digital humanities. With this interest, this package has been included within rOpenSpain, a project that aims to promote transparent research methods mainly through the use of free software and open data in Spain.

scholarly journals Where should I publish my next manuscript on Limnology?

2016 ◽  
Vol 28 (0) ◽  
Author(s):  
Juan Josè Neiff
Keyword(s):  
Latin American ◽  
Scientific Production ◽  
Impact Factors ◽  
Main Element ◽  
Allocation Of Resources ◽  
Publish Or Perish ◽  
The People ◽  
New Knowledge ◽  
International Ranking

Abstract When we need to spread the limnological knowledge, arises an issue that is not less than: where to publish our next article? In recent decades, the main element of evaluation are the “papers” and the sentence “publish or perish” haunts many scientists. It is imperative that researchers to share their discoveries or new knowledge. The dilemma arises because the scientific agencies (led by scientists) have installed what I call prestige system in which researchers needs a number of articles published in mainstream journals with highest positions in the ranking to progress in their scientific carrier. This determines a strong pressure on the subjects under investigation, in the allocation of resources and, sometimes, comes to desperation to publish. It is also producing the neglect of regional issues hardly find place in those journals and end up published in journals unreliable. The dissemination of the limnological topics in Latin American journals gradually lost prominence. In my opinion, it´s necesary to spread the results for the people that paying our salaries and supports our projects. Put another way, publish in good local journals, without prejudice to also publish in journals of high international ranking. Scientific production should be evaluated for their trascendence, by his transforming power and not just by impact factors used today by many agencies.

scholarly journals A Measure of Open Data: A Metric and Analysis of Reusable Data Practices in Biomedical Data Resources

2018 ◽  
Author(s):  
Seth Carbon ◽  
Robin Champieux ◽  
Julie McMurry ◽  
Lilly Winfree ◽  
Letisha R. Wyat ◽  
...  
Keyword(s):  
Scientific Community ◽  
Open Data ◽  
Scientific Data ◽  
Free Software ◽  
Biomedical Data ◽  
Drug Selection ◽  
Research Support ◽  
Creative Commons ◽  
Data Practices ◽  
Collective Data

ABSTRACTData is the foundation of science, and there is an increasing focus on how data can be reused and enhanced to drive scientific discoveries. However, most seemingly “open data” do not provide legal permissions for reuse and redistribution. Not being able to integrate and redistribute our collective data resources blocks innovation, and stymies the creation of life-improving diagnostic and drug selection tools. To help the biomedical research and research support communities (e.g. libraries, funders, repositories, etc.) understand and navigate the data licensing landscape, the (Re)usable Data Project (RDP) (http://reusabledata.org) assesses the licensing characteristics of data resources and how licensing behaviors impact reuse. We have created a ruleset to determine the reusability of data resources and have applied it to 56 scientific data resources (i.e. databases) to date. The results show significant reuse and interoperability barriers. Inspired by game-changing projects like Creative Commons, the Wikipedia Foundation, and the Free Software movement, we hope to engage the scientific community in the discussion regarding the legal use and reuse of scientific data, including the balance of openness and how to create sustainable data resources in an increasingly competitive environment.

Loose Integration of Local Information to Generate Collaborative Marine Science Knowledge

2015 ◽  
pp. 69-91
Author(s):  
Adam Leadbetter ◽  
Robert Arko ◽  
Cynthia Chandler ◽  
Adam Shepherd ◽  
Roy Lowry
Keyword(s):  
Open Data ◽  
Local Information ◽  
Controlled Vocabulary ◽  
Linked Open Data ◽  
Marine Science ◽  
Science Data ◽  
New Information ◽  
New Knowledge ◽  
History Of ◽  
Universal Mechanism

This chapter focuses on improved access to marine science data, enabling researchers to generate new information and knowledge products. The history of controlled vocabulary developments in marine sciences, from paper publications to the Semantic Web, is explored in detail. This history is being furthered through the publication of Linked Open Data, meaning: the publication of clearly identifiable entities; a simple, universal mechanism for retrieving resources; a generic graph-based data model; and publishing explicit relationships to other resources. Progress towards Linked Open Data for marine science is reported in this chapter. As shown by the Data-Information-Knowledge ecosystem, the approach of “small pieces of data loosely joined” provides presentation and organisation to data, which creates information. The use of query endpoints to integrate this information from multiple locations into a knowledge base, which required active collaboration between cooperative partners to truly generate new knowledge and to address emerging science questions, is described.

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