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GSBL: Giving Germany’s Most Comprehensive Chemical Substances Data Pool a Convincing Face

dc.contributor.authorBarthel, Stefan
dc.contributor.authorZischner, Karsten
dc.contributor.authorMinx, Gunnar
dc.contributor.editorGómez, Jorge Marx
dc.contributor.editorSonnenschein, Michael
dc.contributor.editorVogel, Ute
dc.contributor.editorWinter, Andreas
dc.contributor.editorRapp, Barbara
dc.contributor.editorGiesen, Nils
dc.date.accessioned2019-09-16T03:12:55Z
dc.date.available2019-09-16T03:12:55Z
dc.date.issued2014
dc.description.abstractThis paper describes the concept of the user-oriented redesigning process of the Joint Substance Data Pool of the German Federal Government and Federal States (GSBL). The GSBL contains at all relevant information on 63.000 pure chemical substances, 320.000 mixtures of substances and 207.000 concerning legal regulations. Redesigning is necessary, because current and potential users are not satisfied with the usability of the retrieval application and the search result presentation. The substance search is partially so complex that trainings courses and detailed instruction manuals are inquired. In order to achieve a tailor-made solution for current and potential key users as well as for user that have or have not been used the GSBL’s retrieval application before, a promising redesigning process is introduced and established usability techniques are utilized.de
dc.description.urihttp://enviroinfo.eu/sites/default/files/pdfs/vol8514/0789.pdfde
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/25706
dc.publisherBIS-Verlag
dc.relation.ispartofProceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management
dc.relation.ispartofseriesEnviroInfo
dc.titleGSBL: Giving Germany’s Most Comprehensive Chemical Substances Data Pool a Convincing Facede
dc.typeText/Conference Paper
gi.citation.publisherPlaceOldenburg
gi.conference.date2014
gi.conference.locationOldenburg
gi.conference.sessiontitleWorkshop Usability and user oriented process models for EMS

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