Title:	INDICATORS FOR THE EVALUATION OF TECHNOLOGICAL ACTIVITY
Author(s):	Alexandre Lucas, Birger Larsen, Angel Freddy Godoy Viera and Elías Sanz Casado
ISBN:	978-989-8533-69-2
Editors:	Pedro Isaías and Hans Weghorn
Year:	2017
Edition:	Single
Keywords:	Technological Indicators, Real Time Indicators, Evaluation of Technological Activity, Bibliometric, Scientometrics
Type:	Reflection Paper
First Page:	303
Last Page:	306
Language:	English
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Full Contents:	click to dowload
Paper Abstract:	The internet has become a great platform for all kinds of applications and matters relating to the information. This includes information systems, decision-making and of every kind informational indicators. In this context, the use of indicators for the evaluation of scientific and technological activities has been widely adopted to characterize and measure its volume and to identify its main actors and investments. We choose as our focus Institutes of Science, Technology and Innovation (ISTIs). ISTIs are important actors, they work in the “valley of death of innovation”, a region with the greatest risks and requirements of investments and needs about the real-time indicators for the evaluation of technological activity. Despite the large volume of information available, there is a perceived lack of applicability of these data for real time decision making. In this paper, we outline our initial work in establishing dynamic Indicators for the Evaluation of Technological Activity (IETAs) and their potential use in real-time decision making, available and accessible via the internet. We will focus on two approaches that involve bibliometric and altmetric data. The first approach is concerned with identifying signs of interest in certain clearly recognized technologies. The second approach is concerned with identifying the terms and phrases that characterize of given technology. Both approaches are going to explore the possibilities offered by the data related to the Web of Science (WoS) and its use as Knowledge Base to apply information retrieval and text mining techniques to unstructured data from technology and other types of relevant reports and only those available and accessible through the internet.
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