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
Xiaoqiu Le, Chenyu Mao, Yuanbiao He, Changlei Fu and Liyuan Xu
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
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
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
breakthroughs in science
• Invent significant
and technology relying on the
• Forming new theories, methods,
• Technological radiation produces
formation of large scientific
standards and tools in this field
• Break new ground in key
significant economic benefits
• Accumulate basic data and provide
• Important original innovation for
• Creating first-class scientists and
an open and shared analytical
• Train first
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.
Kayvan Kousha (email@example.com) developed the research questions and methods, collected the data, conducted the analysis and wrote the main body of the paper. Mike Thelwall (firstname.lastname@example.org) deigned a tool for citation extraction from digitised newspapers and helped to write the paper
Jie Wang, Chengzhi Zhang, Mengying Zhang and Sanhong Deng
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
A. Edelmann-Nusser, A. Raschke, A. Bentz, S. Montenbruck, J. Edelmann-Nusser and M. Lames
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.
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.