Testing the quality of nanomaterial properties data for nano-risk assessment – towards guidance for all types of users

  • Data quality is a vast term, which comprises the completeness, relevance (adequacy), and reliability of data. So far, many attempts to assure data quality have been pursued, and evaluation criteria for data quality have been established. One relatively novel but already well-known aspect of data quality refers to the concept of data FAIRness, which states that data should be: findable, accessible, interoperable and re-usable. In order to find, use, and access data, a user has to be guided properly. Such guidelines already exist for regulators and the scientific community. However, a ‘simple’ non-academic user from general society is very unlikely to be able to access or understand such data. Our objective in the H2020 project NANORIGO is to help and guide all types of users (i.e., scientists, regulators, industry workers, citizens, etc.) to access and make use of high-quality data and information from available and suitable data repositories in order to increase the transparency of andData quality is a vast term, which comprises the completeness, relevance (adequacy), and reliability of data. So far, many attempts to assure data quality have been pursued, and evaluation criteria for data quality have been established. One relatively novel but already well-known aspect of data quality refers to the concept of data FAIRness, which states that data should be: findable, accessible, interoperable and re-usable. In order to find, use, and access data, a user has to be guided properly. Such guidelines already exist for regulators and the scientific community. However, a ‘simple’ non-academic user from general society is very unlikely to be able to access or understand such data. Our objective in the H2020 project NANORIGO is to help and guide all types of users (i.e., scientists, regulators, industry workers, citizens, etc.) to access and make use of high-quality data and information from available and suitable data repositories in order to increase the transparency of and trust in nanotechnology.zeige mehrzeige weniger

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Metadaten
Autor*innen:Dmitri CiorniiORCiD
Koautor*innen:E. Kranjc, N. Bohmer, D. Drobne, Vasile-Dan Hodoroaba
Dokumenttyp:Vortrag
Veröffentlichungsform:Präsentation
Sprache:Englisch
Jahr der Erstveröffentlichung:2020
Organisationseinheit der BAM:6 Materialchemie
6 Materialchemie / 6.1 Oberflächen- und Dünnschichtanalyse
DDC-Klassifikation:Technik, Medizin, angewandte Wissenschaften / Ingenieurwissenschaften / Ingenieurwissenschaften und zugeordnete Tätigkeiten
Freie Schlagwörter:Nano-related data; Nano-risk assessment; Nanomaterial properties
Themenfelder/Aktivitätsfelder der BAM:Material
Material / Nano
Veranstaltung:nanoSAFE 2020
Veranstaltungsort:Online Meeting
Beginndatum der Veranstaltung:16.11.2020
Enddatum der Veranstaltung:23.11.2020
Verfügbarkeit des Dokuments:Datei im Netzwerk der BAM verfügbar ("Closed Access")
Datum der Freischaltung:02.12.2020
Referierte Publikation:Nein
Eingeladener Vortrag:Nein
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