Correlation between impact factor and public availability of published research data in information science & library science journals

Trabajo presentado a la 15th International Society of Scientometrics and Informetrics Conference, celebrada en Estambúl (Turquia) del 29 de junio al 4 de julio de 2015.Scientists continuously generate research data but only a few part of them are published. If these data were accessible and reusable, researchers could examine them and generate new knowledge. Currently, the barriers to data sharing are phased out and public research organizations are demanding ever more insistently that publications resulting from publicly funded projects and data that support them should be published in open (Savage & Vickers, 2009). The purpose of this work is: a) to analyse policies concerning open availability of raw research data in journals in the Information Science & Library Science (ISLS); and b) to determine whether there is a correlation between the impact factor and policies of these journals concerning storage and reuse of scientific data.This work has benefited from assistance by the National R+D+I of the Ministry of Economy and Competitiveness of the Spanish Government (CSO2012-39632-C02-01) and Prometeo Program for excellent research groups of Generalitat Valenciana (GVPROMETEO2013-041).Peer Reviewe

Self-defined information indices: application to the case of university rankings

University rankings are now relevant decision-making tools for both institutional and private purposes in the management of higher education and research. However, they are often computed only for a small set of institutions using some sophisticated parameters. In this paper we present a new and simple algorithm to calculate an approximation of these indices using some standard bibliometric variables, such as the number of citations from the scientific output of universities and the number of articles per quartile. To show our technique, some results for the ARWU index are presented. From a technical point of view, our technique, which follows a standard machine learning scheme, is based on the interpolation of two classical extrapolation formulas for Lipschitz functions defined in metric spaces—the so-called McShane and Whitney formulae—. In the model, the elements of the metric space are the universities, the distances are measured using some data that can be extracted from the Incites database, and the Lipschitz function is the ARWU index

The lack of stability of the impact factor of the mathematical journals

Trabajo presentado a la 15th International Society of Scientometrics and Informetrics Conference, celebrada en Estambúl (Turquia) del 29 de junio al 4 de julio de 2015.Although the 2-year Thomson-Reuters Impact Factor (IF) has become a usual tool for measuring the scientific productivity of all fields of the natural sciences (see Aleixandre-Benavent, Valderrama Zurián, & González Alcaide, 2007), its behavior in the particular case of the journals of pure mathematics (the area MATHEMATICS in the thematic directory of Thomson-Reuters) is far from being stable when its values in consecutive years are considered. If we consider the changes of the values of the IF of a given journal in the last decade, it can be easily seen that the variation of the values is surprisingly high if we compare with other disciplines. Mathematical journals seem to have the worst behavior regarding the time stability both of the IF and the position in the IF list.This work has benefited from assistance by the National R+D+I of the Ministry of Economy and Competitiveness of the Spanish Government (CSO2012-39632-C02-01) and Prometeo Program for excellent research groups of Generalitat Valenciana (GVPROMETEO2013-041).Peer reviewe

Entre la vivienda principal y la secundaria: la movilidad residencial y su contribución a la calidad de vida de los jubilados madrileños

Mejorar las condiciones de vida de las personas mayores se ha convertido en un reto en las sociedades occidentales. Las personas cada vez viven más años, en mejores condiciones económicas y materiales, lo cual les permite viajar y cambiar más de lugar de residencia (de forma temporal o definitiva).Con esta aportación se pretende determinar qué elementos de la CdV están en la base de movilidad en personas de más edad y cómo la movilidad influye en la percepción global de la CdV. El objetivo es conocer qué ha supuesto la movilidad residencial en personas jubiladas y cómo ha influido en los distintos ámbitos/dimensiones de su vida.La metodología utilizada ha sido cualitativa y los resultados se han obtenido de la realización de veinte entrevista en profundidad a personas que han desarrollado movilidad tras su jubilación desde la ciudad de Madrid hacia otros lugares de España.Investigación realizada con financiación aportada por la Fundación Mapfre, y tambien en el marco del proyecto "Cambios residenciales, envejecimiento saludable y mejora de la calidad de vida en la vejez", financiado por el IMSERSO (Ref. 46/2006)Peer reviewe

Journals’ policies of storage and reuse of raw research data and their impact in five scientific areas

Analisys of journals' policies about storage and re-use of raw research data

The Impact Factor as a measuring tool of the prestige of the journals in research assessment in mathematics

This is a pre-copyedited, author-produced PDF of an article accepted for publication in Research evaluation following peer review. The version of record Antonia Ferrer-Sapena, Enrique A. Sánchez-Pérez, Fernanda Peset, Luis-Millán González, Rafael Aleixandre-Benavent; The Impact Factor as a measuring tool of the prestige of the journals in research assessment in mathematics. Res Eval 2016; 25 (3): 306-314 is available online at: https://doi.org/10.1093/reseval/rvv041The (2-year) Impact Factor of Thomson-Reuters (IF) has become the fundamental tool for analysing the scientific production of academic researchers in a lot of countries. In this article we show that this index and the ordering criterion obtained by using it are highly unstable in the case of mathematics, to the extent that sometimes no reliability can be assigned to its use. We explain the reasons of this behaviour by the specific properties of the mathematical journals and publications, attending mainly the point of view of the researchers in pure mathematics. Using the Journal Citation Report list of journals as a source of information, we analyse the stability in the position of the mathematical journals-the so-called rank-normalized impact factor-compared with journals in applied physics and microbiology during the period 2002-12. Due to the lack of stability of the position of the journals of mathematics in these lists, we propose a 'cumulative index' that fits better the characteristics of mathematical journals. The computation of this index uses the values of the IF of the journals in previous years, providing in this way a more stable indicator.This work was supported by the Ministerio de Economia y Competitividad (Spain) [CS02012-39632-C02 to A.F.S, F.P., R.A.B.] and [MTM2012-36740-C02-02 to E.A.S.P.].Ferrer Sapena, A.; Sánchez Pérez, EA.; Peset Mancebo, MF.; Gonzalez, L.; Aleixandre-Benavent, R. (2016). The Impact Factor as a measuring tool of the prestige of the journals in research assessment in mathematics. Research Evaluation. 25(3):306-314. https://doi.org/10.1093/reseval/rvv041S30631425

Information Management in Healthcare and Environment: Towards an Automatic System for Fake News Detection

Comments and information appearing on the internet and on different social media sway opinion concerning potential remedies for diagnosing and curing diseases. In many cases, this has an impact on citizens’ health and affects medical professionals, who find themselves having to defend their diagnoses as well as the treatments they propose against ill-informed patients. The propagation of these opinions follows the same pattern as the dissemination of fake news about other important topics, such as the environment, via social media networks, which we use as a testing ground for checking our procedure. In this article, we present an algorithm to analyse the behaviour of users of Twitter, the most important social network with respect to this issue, as well as a dynamic knowledge graph construction method based on information gathered from Twitter and other open data sources such as web pages. To show our methodology, we present a concrete example of how the associated graph structure of the tweets related to World Environment Day 2019 is used to develop a heuristic analysis of the validity of the information. The proposed analytical scheme is based on the interaction between the computer tool—a database implemented with Neo4j—and the analyst, who must ask the right questions to the tool, allowing to follow the line of any doubtful data. We also show how this method can be used. We also present some methodological guidelines on how our system could allow, in the future, an automation of the procedures for the construction of an autonomous algorithm for the detection of false news on the internet related to healt

Journals’ policies of storage and reuse of raw research data and their impact in five scientific areas

Analisys of journals' policies about storage and re-use of raw research data

Políticas de almacenamiento y reutilización de datos de investigación en revistas de cinco áreas científicas.

This study analyze the preservation and reuse policies in row research data from different journals selected from every thematic area from the Journal Citation Reports (Web of Science-JCR)