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Eleven carefully selected, peer-reviewed contributions from the Virtual Conference on Computational Science (VCCS-2016) are featured in this edited book of proceedings. VCCS-2016, an annual meeting, was held online from 1st to 31st August 2016. The theme of the conference was "Computational Thinking for the Advancement of Society" and it matched the paradigm shift in the way we think. VCCS-2016 was attended by 100 participants from 20 countries. The chapters reflect a wide range of fundamental and applied research applying computational methods.
Engineering --- Research --- Computer science. --- Informatics --- Science --- Electronic data processing in research --- Data processing.
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Daily activity sees data constantly flowing through cameras, the internet, satellites, radio frequencies, sensors, private appliances, cars, smartphones, tablets and the like. Among all the tools currently used, mobile devices, especially mobile phones, smartphones and tablets, are the most widespread, with their use becoming prevalent in everyday life within both developed and developing countries. Shopping, reading newspapers, participating in forums, projecting and completing surveys, communicating with friends and making new ones, filing tax returns and getting involved in politics are all examples of how ingrained mobile technology is to modern lifestyle Mobile devices allow a wide range of heterogeneous activities and, as a result, have great potential in terms of the different types of data that can be collected. The use of mobile devices to collect, analyse and apply research data is explored here. This book focuses on the use of mobile devices in various research contexts, aiming to provide a detailed and updated knowledge on what is a comparatively new field of study. This is done considering different aspects: main methodological possibilities and issues; comparison and integration with more traditional survey modes or ways of participating in research; quality of collected data; use in commercial market research; representativeness of studies based only on the mobile-population; analysis of the current spread of mobile devices in several countries, and so on. Thus, the book provides interesting research findings from a wide range of countries and contexts. This book was developed in the framework of WebDataNet’s Task Force 19. WebDataNet, was created in 2009 by a group of researchers focusing on the discussion on data collection methods. Supported by the European Union programme for the Coordination of Science and Technology, WebDataNet has become a unique, multidisciplinary network that has brought together leading web-based data collection experts from several institutions, disciplines, and relevant backgrounds from more than 35 different countries.
Mobile computing --- Research --- Data processing. --- Methodology. --- Electronic data processing in research --- Electronic data processing --- Context-aware computing --- Portable computers
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Social sciences --- Humanities --- Research --- Data processing --- Research. --- Data processing. --- Social science research --- Electronic data processing in research --- Science --- Science research --- Scientific research --- Information services --- Learning and scholarship --- Methodology --- Research teams --- Classical education --- Sciences sociales --- Recherche
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En cette période de mutations technologiques rapides, la recherche-développement (R-D) constitue un facteur de croissance important. Pour élaborer des politiques adéquates et bien les analyser, il est essentiel de suivre les activités de R-D de l’industrie, des gouvernements et des universités. Le Manuel de Frascati est devenu la référence méthodologique en matière de recueil et d’exploitation des statistiques de R-D. C'est un outil dont les bureaux de statistiques du monde entier ne sauraient se passer. Ce manuel contient les définitions des notions de base, des principes directeurs pour la collecte de données ainsi que les classifications à utiliser pour la compilation des statistiques. Le manuel a été actualisé : on trouvera dans cette sixième édition des principes directeurs mieux adaptés au suivi de l’évolution des pays de l’OCDE, notamment pour la mesure de la R-D du secteur des services, l’internationalisation de la R-D ainsi que les ressources humaines qui y sont affectées. Le manuel sera également publié sous forme électronique, de façon à pouvoir être mis à jour en temps utile.
Research --- Scientific surveys --- Statistical methods --- Handbooks, manuals, etc. --- Data processing --- Electronic data processing in research --- Surveys, Scientific --- Science and state --- Science --- Science research --- Scientific research --- Information services --- Learning and scholarship --- Methodology --- Research teams
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Research --- Information services --- Data processing. --- Management. --- Data collection services --- Information brokers --- Information centers --- Information science service organizations --- Information service providers --- Providers of information services --- Information retrieval --- Information science --- Documentation --- Electronic data processing in research --- Information services. --- Data processing --- Management
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In the last decade, data science has generated new fields of study and transformed existing disciplines. As data science reshapes academia, how can libraries and librarians engage with this rapidly evolving, dynamic form of research? Can libraries leverage their existing strengths in information management, instruction, and research support to advance data science?
Data Science in the Library: Tools and Strategies for Supporting Data-Driven Research and Instruction brings together an international group of librarians and faculty to consider the opportunities afforded by data science for research libraries. Using practical examples, each chapter focuses on data science instruction, reproducible research, establishing data science services and key data science partnerships.
This book will be invaluable to library and information professionals interested in building or expanding data science services. It is a practical, useful tool for researchers, students, and instructors interested in implementing models for data science service that build community and advance the discipline.
Database management in libraries. --- Data curation in libraries. --- Data services librarians. --- Data librarians --- Librarians --- Public services (Libraries) --- Research --- Big data. --- Data processing. --- Data sets --- Data sets, Large --- Large data sets --- Electronic data processing in research
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Engineering -- Research -- Data processing. --- Research -- Data processing. --- Research --- Engineering --- Medical Informatics --- Biomedical Research --- Science --- Natural Science Disciplines --- Informatics --- Information Science --- Technology, Industry, and Agriculture --- Disciplines and Occupations --- Technology, Industry, Agriculture --- Sciences - General --- Physical Sciences & Mathematics --- Data processing --- Data processing. --- Construction --- Electronic data processing in research --- Industrial arts --- Technology
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This book focuses on the statistical aspects of the analysis of degradation data. In recent years, degradation data analysis has come to play an increasingly important role in different disciplines such as reliability, public health sciences, and finance. For example, information on products’ reliability can be obtained by analyzing degradation data. In addition, statistical modeling and inference techniques have been developed on the basis of different degradation measures. The book brings together experts engaged in statistical modeling and inference, presenting and discussing important recent advances in degradation data analysis and related applications. The topics covered are timely and have considerable potential to impact both statistics and reliability engineering.
Statistics. --- Statistical Theory and Methods. --- Statistics for Business/Economics/Mathematical Finance/Insurance. --- Research --- Data processing. --- Electronic data processing in research --- Mathematical statistics. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Statistics .
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This book contains an edited selection of the papers accepted for presentation and discussion at the first International Symposium on Qualitative Research (ISQR2016), held in Porto, Portugal, July 12th-14th, 2016. The book and the symposium features the four main application fields Education, Health, Social Sciences and Engineering and Technology and seven main subjects: Rationale and Paradigms of Qualitative Research (theoretical studies, critical reflection about epistemological dimensions, ontological and axiological); Systematization of approaches with Qualitative Studies (literature review, integrating results, aggregation studies, meta -analysis, meta- analysis of qualitative meta- synthesis, meta- ethnography); Qualitative and Mixed Methods Research (emphasis in research processes that build on mixed methodologies but with priority to qualitative approaches); Data Analysis Types (content analysis , discourse analysis , thematic analysis , narrative analysis , etc.); Innovative processes of Qualitative Data Analysis (design analysis, articulation and triangulation of different sources of data – images, audio, video); Qualitative Research in Web Context (eResearch, virtual ethnography, interaction analysis , latent corpus on the internet, etc.); Qualitative Analysis with Support of Specific Software (usability studies, user experience, the impact of software on the quality of research.
Computational Intelligence. --- Electronic data processing in research --- Engineering. --- Application software. --- Computational intelligence. --- Computer Applications. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Construction --- Industrial arts --- Technology --- Research --- Qualitative research --- Data processing. --- Qualitative analysis (Research) --- Qualitative methods (Research) --- Computer science. --- Informatics --- Science
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