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How should the completeness and quality of curated nanomaterial data be evaluated

Marchese Robinson, Richard L.; Lynch, Iseult; Peijnenburg, Willie; Rumble, John; Klaessig, Fred; Marquardt, Clarissa; Rauscher, Hubert; Puzyn, Tomasz; Purian, Ronit; Aberg, Christoffer; Karcher, Sandra; Vriens, Hanne; Hoet, Peter, Hoover, Mark D.; Ogilvie Hendren, Christine; Harper, Stacey L.

Abstract (englisch):
Nanotechnology is of increasing significance. Curation of nanomaterial data into electronic databases offers opportunities to better understand and predict nanomaterials’ behaviour. This supports innovation in, and regulation of, nanotechnology. It is commonly understood that curated data need to be sufficiently complete and of sufficient quality to serve their intended purpose. However, assessing data completeness and quality is non-trivial in general and is arguably especially difficult in the nanoscience area, given its highly multidisciplinary nature. The current article, part of the Nanomaterial Data Curation Initiative series, addresses how to assess the completeness and quality of (curated) nanomaterial data. In order to address this key challenge, a variety of related issues are discussed: the meaning and importance of data completeness and quality, existing approaches to their assessment and the key challenges associated with evaluating the completeness and quality of curated nanomaterial data. Considerations which are specific to the nanoscience area and lessons which can be learned from other relevant scientific disciplin ... mehr


Zugehörige Institution(en) am KIT Institut für Angewandte Informatik (IAI)
Publikationstyp Zeitschriftenaufsatz
Jahr 2016
Sprache Englisch
Identifikator DOI: 10.1039/C5NR08944A
ISSN: 2040-3364
URN: urn:nbn:de:swb:90-549057
KITopen ID: 1000054905
HGF-Programm 43.22.03; LK 01
Erschienen in Nanoscale
Band 8
Heft 19
Seiten 9919-9943
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