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. 2015 Sep 10;3(9):apps.1500065.
doi: 10.3732/apps.1500065. eCollection 2015 Sep.

Digitization workflows for flat sheets and packets of plants, algae, and fungi

Affiliations

Digitization workflows for flat sheets and packets of plants, algae, and fungi

Gil Nelson et al. Appl Plant Sci. .

Abstract

Effective workflows are essential components in the digitization of biodiversity specimen collections. To date, no comprehensive, community-vetted workflows have been published for digitizing flat sheets and packets of plants, algae, and fungi, even though latest estimates suggest that only 33% of herbarium specimens have been digitally transcribed, 54% of herbaria use a specimen database, and 24% are imaging specimens. In 2012, iDigBio, the U.S. National Science Foundation's (NSF) coordinating center and national resource for the digitization of public, nonfederal U.S. collections, launched several working groups to address this deficiency. Here, we report the development of 14 workflow modules with 7-36 tasks each. These workflows represent the combined work of approximately 35 curators, directors, and collections managers representing more than 30 herbaria, including 15 NSF-supported plant-related Thematic Collections Networks and collaboratives. The workflows are provided for download as Portable Document Format (PDF) and Microsoft Word files. Customization of these workflows for specific institutional implementation is encouraged.

Keywords: citizen science; digital imaging; digitization; herbarium; specimen database; workflow.

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Figures

Fig. 1.
Fig. 1.
Example object-to-data-to-image workflow. This workflow captures data directly from labels on physical specimens. Images of specimens may or may not be captured. Barcodes are usually applied inline or as an iterative step through which dozens or hundreds of barcodes are affixed, immediately preceding data entry. Pre-digitization curation, including nomenclatural annotations and specimen organization, is usually important in this workflow. The need for specimen conservation may be discovered and remedied as physical specimens are passed to data entry technicians or following the specimen handling associated with imaging procedures.
Fig. 2.
Fig. 2.
Example object-to-image-to-data workflow. This workflow captures specimen images and uses these images as the basis for data capture. Barcodes are sometimes applied inline as the step immediately previous to imaging (shown optionally) and other times through an iterative process during which several dozen or several hundred barcodes are applied. Nomenclatural annotation during pre-digitization ensures synchronization of name-on-folder with name-on-specimen. The need for specimen conservation may be discovered and remedied before or after imaging.

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