TY - CHAP U1 - Buchbeitrag A1 - Witt, Andreas A1 - Diesner, Jana A1 - Steffen, Diana A1 - Rezapour, Rezvaneh A1 - Bopp, Jutta A1 - Fiedler, Norman A1 - Köller, Christoph A1 - Raster, Manu A1 - Wockenfuß, Jennifer ED - Diesner, Jana ED - Rehm, Georg ED - Witt, Andreas T1 - Impact of scientific research beyond academia: an alternative classification schema T2 - Proceedings of the LREC 2018 workshop. 1st workshop on computational impact detection from text data. 08 May 2018 – Miyazaki, Japan N2 - 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. KW - research reports KW - impact assessment KW - impact categories KW - corpus analysis Y1 - 2018 U6 - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-74679 UN - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-74679 UR - http://lrec-conf.org/workshops/lrec2018/W6/pdf/5_W6.pdf SN - 979-10-95546-05-4 SB - 979-10-95546-05-4 SP - 34 EP - 39 PB - European language resources association (ELRA) CY - Paris, France ER -