Uncertainty of testing methods : What do we (want to) know?
Dateien
Datum
Autor:innen
Herausgeber:innen
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
URI (zitierfähiger Link)
DOI (zitierfähiger Link)
Internationale Patentnummer
Link zur Lizenz
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Sammlungen
Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
Publikationstyp
Publikationsstatus
Erschienen in
Zusammenfassung
It is important to stimulate innovation for regulatory testing methods. Scrutinizing the knowledge of (un)certainty of data from actual standard in vivo methods could foster the interest in new testing approaches. Since standard in vivo data often are used as reference data for model development, improved uncertainty accountability also would support the validation of new in vitro and in silico methods, as well as the definition of acceptance criteria for the new methods. Hazard and risk estimates, transparent for their uncertainty, could further support the 3Rs, since they may help focus additional information requirements on aspects of highest uncertainty. Here we provide an overview on the various types of uncertainties in quantitative and qualitative terms and suggest improving this knowledge base. We also reference principle concepts on how to use uncertainty information for improved hazard characterization and development of new testing methods.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
Schlagwörter
Konferenz
Rezension
Zitieren
ISO 690
PAPARELLA, Martin, Mardas DANESHIAN, Romana HORNEK-GAUSTERER, Maximilian KINZL, Ilse MAURITZ, Simone MÜHLEGGER, 2013. Uncertainty of testing methods : What do we (want to) know?. In: Alternatives to Animal Experimentation : ALTEX. 2013, 30(2), pp. 131-144. ISSN 1868-596X. eISSN 1868-8551. Available under: doi: 10.14573/altex.2013.2.131BibTex
@article{Paparella2013Uncer-38772, year={2013}, doi={10.14573/altex.2013.2.131}, title={Uncertainty of testing methods : What do we (want to) know?}, number={2}, volume={30}, issn={1868-596X}, journal={Alternatives to Animal Experimentation : ALTEX}, pages={131--144}, author={Paparella, Martin and Daneshian, Mardas and Hornek-Gausterer, Romana and Kinzl, Maximilian and Mauritz, Ilse and Mühlegger, Simone} }
RDF
<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/38772"> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-05-08T08:58:04Z</dcterms:available> <dc:contributor>Mühlegger, Simone</dc:contributor> <dc:contributor>Mauritz, Ilse</dc:contributor> <dc:creator>Paparella, Martin</dc:creator> <dc:creator>Hornek-Gausterer, Romana</dc:creator> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/> <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/38772/1/Paparella_0-403447.pdf"/> <dc:contributor>Paparella, Martin</dc:contributor> <dcterms:issued>2013</dcterms:issued> <dc:contributor>Hornek-Gausterer, Romana</dc:contributor> <dc:language>eng</dc:language> <dc:creator>Daneshian, Mardas</dc:creator> <dcterms:title>Uncertainty of testing methods : What do we (want to) know?</dcterms:title> <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/38772/1/Paparella_0-403447.pdf"/> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-05-08T08:58:04Z</dc:date> <foaf:homepage rdf:resource="http://localhost:8080/"/> <dc:contributor>Kinzl, Maximilian</dc:contributor> <dc:creator>Mauritz, Ilse</dc:creator> <dc:creator>Mühlegger, Simone</dc:creator> <dc:creator>Kinzl, Maximilian</dc:creator> <dcterms:abstract xml:lang="eng">It is important to stimulate innovation for regulatory testing methods. Scrutinizing the knowledge of (un)certainty of data from actual standard in vivo methods could foster the interest in new testing approaches. Since standard in vivo data often are used as reference data for model development, improved uncertainty accountability also would support the validation of new in vitro and in silico methods, as well as the definition of acceptance criteria for the new methods. Hazard and risk estimates, transparent for their uncertainty, could further support the 3Rs, since they may help focus additional information requirements on aspects of highest uncertainty. Here we provide an overview on the various types of uncertainties in quantitative and qualitative terms and suggest improving this knowledge base. We also reference principle concepts on how to use uncertainty information for improved hazard characterization and development of new testing methods.</dcterms:abstract> <dc:contributor>Daneshian, Mardas</dc:contributor> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/38772"/> <dc:rights>Attribution 4.0 International</dc:rights> <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by/4.0/"/> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/> </rdf:Description> </rdf:RDF>