Cargando…

No specimen left behind: industrial scale digitization of natural history collections

Abstract. Traditional approaches for digitizing natural history collections, which include both imaging and metadata capture, are both labour- and time-intensive. Mass-digitization can only be completed if the resource-intensive steps, such as specimen selection and databasing of associated informat...

Descripción completa

Detalles Bibliográficos
Autores principales: Blagoderov, Vladimir, Kitching, Ian J., Livermore, Laurence, Simonsen, Thomas J., Smith, Vincent S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pensoft Publishers 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3406472/
https://www.ncbi.nlm.nih.gov/pubmed/22859884
http://dx.doi.org/10.3897/zookeys.209.3178
Descripción
Sumario:Abstract. Traditional approaches for digitizing natural history collections, which include both imaging and metadata capture, are both labour- and time-intensive. Mass-digitization can only be completed if the resource-intensive steps, such as specimen selection and databasing of associated information, are minimized. Digitization of larger collections should employ an “industrial” approach, using the principles of automation and crowd sourcing, with minimal initial metadata collection including a mandatory persistent identifier. A new workflow for the mass-digitization of natural history museum collections based on these principles, and using SatScan® tray scanning system, is described.