scholarly journals Scholarly profiles, user preferences and impact scores

2015 ◽  
Author(s):  
Susanne Mikki ◽  
Marta Zygmuntowska ◽  
Hemed Ali Al Ruwehy ◽  
Øyvind Liland Gjesdal
Keyword(s):  
Web Sites ◽  
New Technologies ◽  
Reference Value ◽  
User Preferences ◽  
National Database ◽  
Research Information ◽  
Scientific Publications ◽  
Research Information System ◽  
Site Use ◽  
The University

See video of the presentation.We investigate the digital presence of scholars at different academic Web sites. With new technologies, creating profiles, disseminating and exchanging ideas is easily done, and scholars are more likely to attend the networks and impact their community.In our study we compare research profiles of employees at the University of Bergen at five different academic network sites. The sites are ResearchGate, Academia.edu, Google Scholar, ResearcherID and ORCID. CRIStin, the Current Research Information System in Norway (www.cristin.no), is used as a reference value. CRIStin is a national database which contains quality-assured data on scientific publications including supplementary author details such as age, gender, position and affiliation. All investigated sites have varying scopes (and degree of control), but also common features which are worth to investigate and compare.Data is collected using Web scraping applications developed at the University of Bergen Library by searching for the researchers that are affiliated with the University of Bergen.  This was achieved by analyzing the Document Object Model (DOM) of every academic site and then building up a set of selectors and expressions, so that the DOM could be traversed programmatically and indicators extracted.Author recognition is then done by comparing names given in the services with names in CRIStin. After extensive data cleansing and deduplication we were able to compare the different services.Our first goal is to determine number of profiles and degree of overlap. The overlap tells us whether scholars are willing to maintain their profiles at several services. Preference of platform in regard to faculty affiliation, position and age is another aspect of our investigation.Further, we analyze extracted indicators in regard to traditional bibliometric and “altmetric” measures. Bibliometric measures are related to publications and citations, while “altmetric” indicators comprise different forms of Web activities such as followers, following, views and downloads. The indicators vary from service to service, and a correlation analysis tells us whether indicators are related to each other or not. We find that about 37% of researchers at the University of Bergen have at least one profile. They are reluctant to maintain several profiles and overlap was therefore relatively small. Age is a poor predictor of web site use, and women are underrepresented on the investigated platforms. The representation is highest at the Faculty of Psychology and the Faculty of Social Sciences (> 40%). Available indicators show high correlation within bibliometric indicators, but correlation is weak with social and activity indicators across platforms.

scholarly journals Research Information System and Community Service in LPPM Timor University

2019 ◽  
Vol 2 (1) ◽  
pp. 8-9
Author(s):  
Claria Berek
Keyword(s):  
Information System ◽  
Data Collection ◽  
Community Service ◽  
Test Results ◽  
Research Information ◽  
Process Data ◽  
Network Systems ◽  
Research Information System ◽  
Service Data ◽  
The University

Information technology consists of computers to process data, network systems to connect computers, and communication technology for distribution of data for global access.Now, the University of Timor has no information system to manage the data collection of research reports and lecturers' community service. This situation makes the data collection of reports in the LPPM section not yet effective.Data processing at the University of Timor LPPM is still manual, in the form of recording on paper and files on a computer. Even though the data collection already uses a computer, the data stored is irregular and not centralized.Based on the above problems, we created a system to assist the process of data collection of research reports and community service lecturers at the University of Timor LPPM, we used Adobe Dreamweaver CS5.The test results show that after implementing our system at LPPM, the research and service data becomes well organized in one database, it is more effective and efficient in managing data and information about LPPM activities.

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

2020 ◽  
Author(s):  
Andreas Niekler ◽  
Sven Blanck ◽  
Marc Kaulisch
Keyword(s):  
Information System ◽  
Scientific Information ◽  
Keyword Extraction ◽  
Research Information ◽  
Scientific Publications ◽  
System P ◽  
Metadata Enrichment ◽  
Research Information System ◽  
Extraction Algorithm ◽  
Classifier Chains

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.

scholarly journals Connecting the pieces: Using ORCIDs to improve research impact and repositories

F1000Research ◽  
2015 ◽  
Vol 4 ◽  
pp. 195 ◽  
Author(s):  
Mohamed Baessa ◽  
Thibaut Lery ◽  
Daryl Grenz ◽  
J. K. Vijayakumar
Keyword(s):  
Open Access ◽  
Research Evaluation ◽  
Research Impact ◽  
Research Information ◽  
Academic World ◽  
Arab Region ◽  
Access Policy ◽  
Research Information System ◽  
Common Resource ◽  
The University

Quantitative data are crucial in the assessment of research impact in the academic world. However, as a young university created in 2009, King Abdullah University of Science and Technology (KAUST) needs to aggregate bibliometrics from researchers coming from diverse origins, not necessarily with the proper affiliations. In this context, the University has launched an institutional repository in September 2012 with the objectives of creating a home for the intellectual outputs of KAUST researchers. Later, the university adopted the first mandated institutional open access policy in the Arab region, effective June 31, 2014. Several projects were then initiated in order to accurately identify the research being done by KAUST authors and bring it into the repository in accordance with the open access policy. Integration with ORCID has been a key element in this process and the best way to ensure data quality for researcher’s scientific contributions. It included the systematic inclusion and creation, if necessary, of ORCID identifiers in the existing repository system, an institutional membership in ORCID, and the creation of dedicated integration tools. In addition and in cooperation with the Office of Research Evaluation, the Library worked at implementing a Current Research Information System (CRIS) as a standardized common resource to monitor KAUST research outputs. We will present our findings about the CRIS implementation, the ORCID API, the repository statistics as well as our approach in conducting the assessment of research impact in terms of usage by the global research community.

scholarly journals Uczelniana baza wiedzy jako przykład systemu CRIS. Z doświadczeń Biblioteki Głównej Politechniki Warszawskiej

2017 ◽  
Vol 35 ◽  
pp. 103-118
Author(s):  
Mirosława Lewandowska-Tranda ◽  
Maria Miller-Jankowska
Keyword(s):  
Information System ◽  
Data Collection ◽  
Scientific Community ◽  
Type System ◽  
Institutional Repository ◽  
Research Information ◽  
Comprehensive Information ◽  
Research Information System ◽  
The University ◽  
Analytical Tools

The university base of knowledge as a CRIS type system. The experience of the Main Library of WUTThe paper presents the university base of knowledge as aCRIS type system and at the same time an institutional repository. Systems CRIS Current Research Information System currently being developed by the scientific community gather comprehensive Information about research conducted at individual institutions. The WUT Base of Knowledge using proprietary software OMEGA-PSIR is an example connecting system CRIS and auniversity repository, collecting and preserving intellectual output of WUT. Base of Knowledge is asource of information on the directions of research conducted at the university. The base has many uses: data collection, content archiving, analytical tools and reporting, extensive system parameterization. Academic libraries, participating in the creation of university’s databases, perform an important task for the university, other than the traditional functions of librarians.

Interdepartmental BIM-elective of the university as a basis for the implementation of the new technologies in the educational process

2019 ◽  
Author(s):  
Alena Vsevolodovna Gavrilova ◽  
Liubov Leonidovna Kniazeva ◽  
Vadim Viacheslavovich Koykov ◽  
Oleg Pavlovich Fyodorov
Keyword(s):  
New Technologies ◽  
Educational Process ◽  
The University

Rancang Bangun Sistem Informasi Zakat Infaq Shodaqoh Menggunakan Metodologi Extreme Programming

2018 ◽  
Vol 9 (1) ◽  
pp. 31-42
Author(s):  
Rysa Sahrial
Keyword(s):  
Information System ◽  
The Other ◽  
Extreme Programming ◽  
Limited Time ◽  
Limited Information ◽  
Research Information ◽  
Development Method ◽  
Know How ◽  
Five Factors ◽  
Research Information System

Poverty is one continuing social issue which is hard to solve. Dealing with this problem, Islam has already had the alternative solution that is tithe (Zakat). Zakat is implemented to decrease economy imbalanced appeared in the society. While in fact, not all the Moslem pay Zakat. There are five factors as the reason why Moslem didn’t do that. First, some Muzakki wants to deliver his zakat directly.Seconde, not all Muzakki know how much Zakat must be paid. The other factors are Limited information about Mustahik home, limited time that Muzakki have to deliver his Zakat directly and the easiness to report Mustahik data. Dealing with those factors, it is required to have an information system which can make Muzakki meets Mustahik. In this research, information system application used Extreme Programming (XP) development method. XP method is required to program a system which will be made by accomodating the users’ needs and expectations.

The Role of Industry-Academia Collaborative Research in Mineral Exploration

2020 ◽  
Author(s):  
James Marlatt
Keyword(s):  
Collaborative Research ◽  
New Technologies ◽  
Mineral Exploration ◽  
Board Members ◽  
Technological Innovations ◽  
Development Programs ◽  
The University ◽  
Insight Into ◽  
Economic Mineral

ABSTRACT Many people may not be aware of the extent of Kurt Kyser's collaboration with mineral exploration companies through applied research and the development of innovative exploration technologies, starting at the University of Saskatchewan and continuing through the Queen's Facility for Isotope Research. Applied collaborative, geoscientific, industry-academia research and development programs can yield technological innovations that can improve the mineral exploration discovery rates of economic mineral deposits. Alliances between exploration geoscientists and geoscientific researchers can benefit both parties, contributing to the pure and applied geoscientific knowledge base and the development of innovations in mineral exploration technology. Through a collaboration that spanned over three decades, we gained insight into the potential for economic uranium deposits around the world in Canada, Australia, USA, Finland, Russia, Gabon, Namibia, Botswana, South Africa, and Guyana. Kurt, his research team, postdoctoral fellows, and students developed technological innovations related to holistic basin analysis for economic mineral potential, isotopes in mineral exploration, and biogeochemical exploration, among others. In this paper, the business of mineral exploration is briefly described, and some examples of industry-academic collaboration innovations brought forward through Kurt's research are identified. Kurt was a masterful and capable knowledge broker, which is a key criterion for bringing new technologies to application—a grand, curious, credible, patient, and attentive communicator—whether talking about science, business, or life and with first ministers, senior technocrats, peers, board members, first nation peoples, exploration geologists, investors, students, citizens, or friends.

scholarly journals Accuracy improvements for cold-start recommendation problem using indirect relations in social networks

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Fu Jie Tey ◽  
Tin-Yu Wu ◽  
Chiao-Ling Lin ◽  
Jiann-Liang Chen
Keyword(s):  
Social Media ◽  
Recommender System ◽  
Mobile Networks ◽  
Reference Value ◽  
User Preferences ◽  
Digital Information ◽  
Internet Applications ◽  
Social Media Networks ◽  
Recommendation Accuracy ◽  
Gain Access

AbstractRecent advances in Internet applications have facilitated information spreading and, thanks to a wide variety of mobile devices and the burgeoning 5G networks, users easily and quickly gain access to information. Great amounts of digital information moreover have contributed to the emergence of recommender systems that help to filter information. When the rise of mobile networks has pushed forward the growth of social media networks and users get used to posting whatever they do and wherever they visit on the Web, such quick social media updates already make it difficult for users to find historical data. For this reason, this paper presents a social network-based recommender system. Our purpose is to build a user-centered recommender system to exclude the products that users are disinterested in according to user preferences and their friends' shopping experiences so as to make recommendations effective. Since there might be no corresponding reference value for new products or services, we use indirect relations between friends and “friends’ friends” as well as sentinel friends to improve the recommendation accuracy. The simulation result has proven that our proposed mechanism is efficient in enhancing recommendation accuracy.

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