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Impact of scientific research beyond academia: an alternative classification schema

  • The actual or anticipated impact of research projects can be documented in scientific publications and project reports. While project reports are available at varying level of accessibility, they might be rarely used or shared outside of academia. Moreover, a connection between outcomes of actual research project and potential secondary use might not be explicated in a project report. This paper outlines two methods for classifying and extracting the impact of publicly funded research projects. The first method is concerned with identifying impact categories and assigning these categories to research projects and their reports by extension by using subject matter experts; not considering the content of research reports. This process resulted in a classification schema that we describe in this paper. With the second method which is still work in progress, impact categories are extracted from the actual text data.

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Author:Andreas WittORCiDGND, Jana Diesner, Diana Steffen, Rezvaneh Rezapour, Jutta Bopp, Norman Fiedler, Christoph Köller, Manu Raster, Jennifer Wockenfuß
Parent Title (English):Proceedings of the LREC 2018 workshop. 1st workshop on computational impact detection from text data. 08 May 2018 – Miyazaki, Japan
Publisher:European language resources association (ELRA)
Place of publication:Paris, France
Editor:Jana Diesner, Georg Rehm, Andreas Witt
Document Type:Part of a Book
Year of first Publication:2018
Date of Publication (online):2018/05/18
Tag:corpus analysis; impact assessment; impact categories; research reports
First Page:34
Last Page:39
DDC classes:400 Sprache / 400 Sprache, Linguistik
Open Access?:ja
Leibniz-Classification:Sprache, Linguistik
Program areas:Digitale Sprachwissenschaft
Licence (English):License LogoCreative Commons - Attribution-NonCommercial 4.0 International