{"data":{"id":"10.6084/m9.figshare.155701.v7","type":"dois","attributes":{"doi":"10.6084/m9.figshare.155701.v7","prefix":"10.6084","suffix":"m9.figshare.155701.v7","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Rigo, Daniele De","nameType":"Personal","givenName":"Daniele De","familyName":"Rigo","affiliation":[],"nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0003-0863-2670","nameIdentifierScheme":"ORCID"}]}],"titles":[{"title":"Software Uncertainty in Integrated Environmental Modelling: the role of Semantics and Open Science"}],"publisher":"figshare","container":{},"publicationYear":2014,"subjects":[{"subject":"Statistics"},{"subject":"FOS: Mathematics","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Mathematics","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Science Policy"},{"subject":"Applied Computer Science"},{"subject":"Environmental Science"},{"subject":"80309 Software Engineering","subjectScheme":"FOR"},{"subject":"FOS: Computer and information sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Computer and information sciences","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Economics"},{"subject":"Ecology"},{"subject":"FOS: Biological sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Biological sciences","subjectScheme":"Fields of Science and Technology (FOS)"}],"contributors":[],"dates":[{"date":"2014-02-10","dateType":"Created"},{"date":"2016-01-18","dateType":"Updated"},{"date":"2014","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsPreviousVersionOf","relatedIdentifier":"10.6084/m9.figshare.155701","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["606871 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"de Rigo, D., 2013. \u003cstrong\u003eSoftware Uncertainty in Integrated Environmental Modelling: the role of Semantics and Open Science\u003c/strong\u003e.\u003cbr\u003e\u003cem\u003eGeophysical Research Abstracts 15\u003c/em\u003e, 13292+. ISSN 1607-7962, European Geosciences Union (EGU). arXiv:1311.4762 This is the author's version of the work. The definitive version is published in the Vol. 15 of Geophysical Research Abstracts (ISSN 1607-7962) and presented at the European Geosciences Union (EGU) General Assembly 2013, Vienna, Austria, 07-12 April 2013\u003cbr\u003ehttp://www.egu2013.eu/ \u003cstrong\u003eSoftware Uncertainty in Integrated Environmental Modelling: the role of Semantics and Open Science\u003c/strong\u003e \u003cstrong\u003e\u003cbr\u003e\u003c/strong\u003e Daniele de Rigo ¹ ² ¹ European Commission, Joint Research Centre, Institute for Environment and Sustainability,\u003cbr\u003eVia E. Fermi 2749, I-21027 Ispra (VA), Italy ² Politecnico di Milano, Dipartimento di Elettronica e Informazione,\u003cbr\u003eVia Ponzio 34/5, I-20133 Milano, Italy \u003cstrong\u003eExcerpt:\u003c/strong\u003e Computational aspects increasingly shape environmental sciences. Actually, transdisciplinary modelling of complex and uncertain environmental systems is challenging computational science (CS) and also the science-policy interface. Large spatial-scale problems falling within this category - i.e. wide-scale transdisciplinary modelling for environment (WSTMe) - often deal with factors (a) for which deep-uncertainty may prevent usual statistical analysis of modelled quantities and need different ways for providing policy-making with science-based support. Here, practical recommendations are proposed for tempering a peculiar - not infrequently underestimated - source of uncertainty. Software errors in complex WSTMe may subtly affect the outcomes with possible consequences even on collective environmental decision-making. Semantic transparency in CS and free software are discussed as possible mitigations. 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