Towards a Semantic Interoperable Flemish Research Information Space: Development and Implementation of a Flemish Application Profile for Research Datasets

In Flanders, Research Performing Organizations (RPO) are required to provide information on publicly financed research to the Flemish Research Information Space (FRIS), a current research information system and research discovery platform hosted by the Flemish Department of Economics, Science and Innovation. FRIS currently discloses information onresearchers, research institutions, publications, and projects. Flemish decrees on Special and Industrial research funding, and the Flemish Open Science policy require RPOs to also provide metadata on research datasets to FRIS. To ensure accurate and uniform delivery of information across all information providing institutions on research datasets to FRIS, it isnecessary to develop a common application profile for research datasets. This article outlines the development of the Flemish application profile for research datasets that was developed by the Flemish Open Science Board (FOSB) WorkingGroup Metadata and Standardization. The main challenge was to achieve interoperability among stakeholders, which in part had existing metadata schemes and research information infrastructures in place, while others were still in the early stages of development.

RESEARCH INFORMATION SYSTEM OF IMAGE RECOGNITION

Data classification in presence of noise can lead to much worse results than expected for pure patterns. In paper was investigated problem of the research is the process of user recognition and identification in the video sequence. The main contributions presented in this paper are experimental examination of influence of different types of noise and to the increase the security of an IT company by developing a computer system for recognizing and identifying users in the video sequence. Based on the study of methods and algorithms for finding faces in images, the Viola-Jones method, wavelet transform and the method of principal components were chosen. These methods are among the best in terms of the ratio of recognition efficiency and work speed. However, the training of classifiers is very slow, but the face search results are very fast.

Systematic review and meta-analysis of the most common processed/ultraprocessed foods consumed by Iranian children

Background: The trend of increasing overweight and obesity among children is a huge burden on health systems. In this regard, the growing availability of processed foods, often energy dense and nutrient poor, has become a major concern. Changing this trend will require evidence-based policies. Aims: This systematic review aimed to identify the most common processed/ultraprocessed foods consumed by 4–12-year-old Iranian children. Methods: We searched PubMed, Scopus and Web of science, as well as Persian scientific search engines, including Iran Research Information System, Scientific Information Database and Mag-Iran. We also assessed grey literature, that is, national studies and papers presented at relevant Iranian congresses. All data collected from studies were converted to daily servings (S/D). Mean and standard deviations of the included results were combined by performing meta-analysis with a random effects model. The I2 test was used to compute heterogeneity. Egger’s test was used to assess publication bias. Results: Ten studies with 67 093 children were included in this review. The meta-analysis demonstrated that the highest consumption of processed foods belonged to the sugars and sweets group with 8.01 S/D, followed by oils, and biscuits and cakes with 5.58 S/D and 3.33 S/D, respectively. Conclusion: Given the high consumption of less healthy processed foods, robust policies to support healthy eating and help improve Iranian children’s food environment are recommended.

Estruturas de representação para reuso de dados no contexto da ecologia de pesquisa: CRIS institucional

Introdução: O Current Research Information System (CRIS) desponta como resposta à necessidade de otimização no processo de gestão do grande volume de dados e informações que permeiam o ciclo de vida da pesquisa. Tais informações estão dispersas em múltiplos ambientes informacionais, de características complementares, hoje isolados que podem ser integrados, e fornecer um panorama mais amplo da pesquisa. Objetivo: Nesse contexto, o presente estudo discute as possibilidades de integração de dados de diferentes sistemas que armazenam dados relacionados à ecologia de pesquisa, utilizando estruturas de representação e infraestrutura semântica para compor uma ecologia de pesquisa constituída como um CRIS institucional. Metodologia: Como procedimento metodológico, utiliza a revisão bibliográfica para o embasamento teórico-conceitual do estudo, visando contextualizar a infraestrutura da ecologia de pesquisa, em especial as estruturas de representação, as ontologias e os princípios FAIR. Resultados: Como resultado é apresentado um modelo conceitual de integração dos dados de uma ecologia de pesquisa, capaz de subsidiar a composição de um CRIS institucional. Conclusões: A compatibilização de estruturas de representação disponíveis em múltiplos sistemas de informação e a utilização de tecnologias já existentes visando constituir um CRIS institucional exigem que a atuação do profissional de informação esteja embasada em conhecimentos de arquitetura da informação, metadados, padrões e protocolos de comunicação, interoperabilidade e tecnologias da web semântica, conforme modelo proposto no presente estudo.

The Rise of Current Research Information Systems (CRIS): The Case of the Indian Research Information Network System (IRINS)

The paper describes the rapid arising of a national-level research information management infrastructure (RIM) in India as a case study for a bottom-up Current Research Information System (CRIS) implementation strategy. Less than a year and a half after its first launch, the Indian Research Information Network System (IRINS) has become a widespread institutional RIM asset with over 180 instances at Indian research-performing organisations. As a result, India is currently leading the classification by number of CRIS per country in the euroCRIS Directory of Research Information Systems (DRIS), followed by Norway and the United Kingdom.As a background to the case study, the broad international CRIS context is also analysed. The causes for the quick rise of such systems are examined, together with their national-level implementation models in various countries and the differences between CRIS and expert finder systems.

Augmenting a Research Information System with automatically acquired category and keyword information

With an ever-increasing amount of data, it is essential for many systems that documents can be retrieved efficiently.The process of information retrieval can be supported by metadata enrichment of the documents. The aim of thiswork is to make scientific publications and project descriptions, consisting of titles, abstracts and bibliographicalreferences, easier to find. Therefore, we investigate text analytical methods such as keyword extraction algorithms(TFIDF, Log-Likelihood, RAKE, TAKE and KECNW) and classification approaches using a SVM withensembles of classifier chains (Web of Science and GEPRIS categories as taxonomies) and compare their quality.We present an altered an optimized keyword extraction algorithm and a supervised subject and keywordclassification approach which are, to our knowledge so far, one of the first automatic applications of this kind ininformetrics and scientific information retrieval.The most promising methods are employed and the extracted information is attached to the documents as metadata.These support a search query, using pseudo relevance feedback, to obtain further relevant search results and canalso be used to derive profiles for authors, faculties, etc. The concepts developed here will serve as a basis for theLeipzig University Research Information System.

Researchers publishing monographs are more productive and more local-oriented

In this study, we investigate what share of researchers publish monographs across fields, gender and seniority. We acquired data from the Polish current research information system (POL-on) containing metadata of about 1,031,141 peer-reviewed publications from 67,415 Polish researchers, including 30,185 monographs from 2013 to 2016. The data are aggregated at the researcher level, which allows us to shed new light on publication patterns in all fields. We show that scholars who publish monographs also publish journal articles at the same time. This pattern is observed in all dimensions, i.e. research fields, gender and seniority. However, substantial differences between the fields are observed. Moreover, we show that researchers who publish monographs are also more productive in terms of the number of publications than researchers who did not publish any monographs. This result is independent of the publication counting method, i.e. fractional or whole counting. At the same time, scholars who publish monographs are more local-oriented in terms of the publication channels they choose.

Experience of designing and implementing Current Research information System in National Research Center for Hematology

Informatization and automation of the processes of collecting, storing, handling, analyzing data on the results of research activities is of paramount importance for the implementation of effective planning, control, administrative decision-making, scientific and methodological guidance. The article presents the experience of designing and implementing Current Research information System in National Research Center for Hematology.