e-infrastructure Roadmap for Open Science in Agriculture

A bibliometric study

The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.

This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.

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Title

ACCESSIBLE OPEN SOURCE WITH KNOWLEDGE AND APPLICATIONS IN TEXTILE, AS AN E-LEARNING TOOL

en
Abstract

The paper is presenting a short overview of some tools developed within the Uster Technologies website. Recognized as a world leader in textile quality control, because of the equipment and technical solutions brand Uster for measuring, monitoring and analyzing characteristics of fibres, slivers, rovings and yarns, Uster Technologies shows a continuous concern for improving the quality of all products for specific end use. The Uster Technologies website has a complex structure but it is quite easy to navigate even though, besides important information for the manufacturers and customers niches from the textile supply chain (i.e. description of the portfolio and technical facilities of the own equipment and testing systems), it includes almost excessive sources of knowledge and practical applications. The Uster Technologies website also contains a reference tool in assessing quality for worldwide textile field, namely Uster Statistics. All this can be accessed by students, and represent an important source as e-learning tools. The Quality Assurance in Spinning Mill and Quality Assurance in Weaving Mill from the curriculum delivered at the Faculty of Textile, Leather and Industrial Management from Iasi, are disciplines for Bachelor students (4th year of study). In both, course material and laboratory applications of the disciplines mentioned above, were included important elements for educational level, from the Uster Technologies website. Therefore, students come in contact with one of the latest achievements of the corporation: the online system for benchmarking and for defining quality of the main products categories. For this goal, several options are possible: to make use of online characteristic nomograms or, of online interactive tables. Interactive tables can be accessed through an user account and allow the benchmarking of the global quality level, corresponding to experimental data obtained by test reports or, the benchmarking of the characteristic values to be obtained corresponding to a global quality level specified by the client. One of the interactive practical applications for teaching students consists of accessing the USTER Statistics online from Uster Technologies webs ite and refers to the identification of customer specifications and/or simulation of the yarns quality profiles according to end use.

en
Year
2014
en
Country
  • RO
Organization
  • Tech_Univ_Gheorghe_Asachi_Iasi (RO)
Data keywords
  • knowledge
  • e learning
en
Agriculture keywords
  • supply chain
en
Data topic
  • knowledge transfer
en
SO
LET'S BUILD THE FUTURE THROUGH LEARNING INNOVATION!, VOL IV
Document type

Inappropriate format for Document type, expected simple value but got array, please use list format

Institutions 10 co-publis
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    e-ROSA - e-infrastructure Roadmap for Open Science in Agriculture has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730988.
    Disclaimer: The sole responsibility of the material published in this website lies with the authors. The European Union is not responsible for any use that may be made of the information contained therein.