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Reflections on Tools and Methods for Differentiated Assessments of Individual Scientists, Groups of Scientists and Scientific Journals

Requirements for research assessments There are huge differences in mission, emphasis, inherent capability, and targeted utilization of research among scientific institutions. Hence, when it comes to assessments, a one-size-fits-all approach cannot meet the goal(s) of these assessments. Probably even larger differences exist between individuals, research teams and departments. It is up to the research community to come up with objective, sound, reliable, easy to use, easy to understand, scalable, and sustainable methodologies, techniques, and tools for all

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Dpaper: An Authoring Tool for Extractable Digital Papers

2015 http://beyondthebookcast.com/from-stm-tech-trends-for-2015/ also reported that the journal article has been at the center of a “hub and spoke” publishing model associated with videos, graphs and tables, and various digital artifacts. A publication in this sense is meant to be a software tool and service platform that provides a better understanding of its content, while supporting easy exploration of knowledge within it and related to it. These trends suggest a fundamental change in the authoring of academic papers and consequently in their patterns of use

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Methods and Practices for Institutional Benchmarking based on Research Impact and Competitiveness: A Case Study of ShanghaiTech University

funding), output, quality, impact, social impact, etc. ( Moed & Plume, 2011 ). Most indicators are calculated through bibliometric measurements such as publication and citation counts, patent counts, translational contracts, and even alternative metrics. Established citation databases, such as Web of Science (WoS) and Scopus, extended with specialized analytic tools such as InCites and Scival, are the main sources providing commonly used indicators. Waltman (2016) presented an in-depth overview of the main bibliographic databases and indicators, and made a distinction

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Disclosing and Evaluating Artistic Research

conjure an imaginary of quantification and measurement ( Gielen, 2013 ; Van Haesebrouck, 2018), but proves a valuable tool to disclose and centralize the multifarious results of arts & design research in Flanders—which in turn facilitates discussion and interaction on its subjects, methods and outcomes. Advertent of the dual role the registration format might play, a new design of the FRIS database segment for artistic & design research outcomes was drafted: This updated design of the FRIS database segment for arts & design research outcomes explicitly recognizes the

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Practice and Challenge of International Peer Review: A Case Study of Research Evaluation of CAS Centers for Excellence

breakthroughs in science sustainable development • Invent significant enterprises and technology relying on the • Forming new theories, methods, scientific instruments • Technological radiation produces formation of large scientific standards and tools in this field • Break new ground in key significant economic benefits equipment • Accumulate basic data and provide experimental methods • Important original innovation for • Creating first-class scientists and an open and shared analytical • Train first

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An Automatic Method to Identify Citations to Journals in News Stories: A Case Study of UK Newspapers Citing Web of Science Journals

could help researchers, universities, news organisations, governments and scientific publishers to assess the press uptake of published research. With the new method, this can be achieved more quickly and on a larger scale than before. Author Contributions Kayvan Kousha (k.kousha@wlv.ac.uk) developed the research questions and methods, collected the data, conducted the analysis and wrote the main body of the paper. Mike Thelwall (m.thelwall@wlv.ac.uk) deigned a tool for citation extraction from digitised newspapers and helped to write the paper

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CitationAS: A Tool of Automatic Survey Generation Based on Citation Content

researchers learn quickly about a new field, such surveys are in a small amount and their formation cycles are long which will lead to delay. Therefore, tools and systems are urgently needed to automatically generate a comprehensive, detailed and accurate survey according to the given topic words ( Nenkova & McKeown, 2011 ). Here, survey means literature review. At the same time, such tools and systems should also help researchers retrieve relevant information in real time. Ideally, automatic survey tools may deal with problems mentioned above. When applying such tools

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Validation of Sensor-Based Game Analysis Tools in Tennis

Abstract

Three inertial measurement unit (IMU) based tennis sensor systems from BABOLAT (PURE DRIVE PLAY, POP) and HEAD (Tennis Sensor) and a camera-based system (PlaySight) were tested with respect to the question whether the information about the number of strokes by swing type and spin type in training exercises and/or matches and the average as well as the maximum speed of the service per session are reliable. Subsequently, the question whether the mechanical properties of the BABOLAT PURE DRIVE PLAY racket are the same as the mechanical properties of the BABOLAT PURE DRIVE racket without IMU was addressed.

For swing types in standard exercises the results are acceptable for forehand groundstrokes, backhand groundstrokes and services but not for volleys. In a match environment we find inacceptably high errors (>10%) for the number of strokes for forehand and completely inacceptable levels for volley. The wrist-based IMU of BABOLAT POP has not reached an acceptable accuracy at all. For spin types the results are acceptable. The large variances in service speed assessment between devices make it doubtful whether any of them may be used for the control of training processes aiming at increasing the average service speed The mechanical properties of the BABOLAT rackets with and without IMU are quite the same.

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Data Mining in Elite Beach Volleyball – Detecting Tactical Patterns Using Market Basket Analysis

Abstract

Sports coaches today have access to a growing amount of information that describes the performance of their players. Methods such as data mining have become increasingly useful tools to deal with the analytical demands of these high volumes of data. In this paper, we present a sports data mining approach using a combination of sequential association rule mining and clustering to extract useful information from a database of more than 400 high level beach volleyball games gathered at FIVB events in the years from 2013 to 2016 for both men and women. We regard each rally as a sequence of transactions including the tactical behaviours of the players. Use cases of our approach are shown by its application on the aggregated data for both genders and by analyzing the sequential patterns of a single player. Results indicate that sequential rule mining in conjunction with clustering can be a useful tool to reveal interesting patterns in beach volleyball performance data.

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