Estimating herbarium specimen digitization rates: Accounting for human experience
| Autor: | Shawn E. Krosnick, Caleb Powell, Ashley B. Morris, Alaina Krakowiak, Brad R. Ruhfel, Rachel Fuller, Erica Rylander, Emily L. Gillespie, Joey Shaw |
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| Rok vydání: | 2021 |
| Předmět: |
0106 biological sciences
0301 basic medicine natural history collections digitization rates QH301-705.5 biodiversity data Plant Science Biology 010603 evolutionary biology 01 natural sciences Task (project management) 03 medical and health sciences Protocol Note Biology (General) Productivity Ecology Evolution Behavior and Systematics Digitization herbaria Technician Botany Data science Outreach 030104 developmental biology Work (electrical) Learning curve QK1-989 Premise |
| Zdroj: | Applications in Plant Sciences, Vol 9, Iss 4, Pp n/a-n/a (2021) Applications in Plant Sciences |
| ISSN: | 2168-0450 |
| Popis: | Premise Herbaria are invaluable sources for understanding the natural world, and in recent years there has been a concerted effort to digitize these collections. To organize such efforts, a method for estimating the necessary labor is desired. This work analyzes digitization productivity reports of 105 participants from eight herbaria, deriving generalized labor estimates that account for human experience. Methods and Results Individuals’ rates of digitization were grouped based on cumulative time performing each task and then used to estimate a series of generalized labor projection models. In most cases, productivity was shown to improve with experience, suggesting longer technician retention can reduce labor requirements by 20%. Conclusions Using student labor is a common tactic for digitization efforts, and the resulting outreach exposes future professionals to natural history collections. However, overcoming the learning curve should be considered when estimating the labor necessary to digitize a collection. |
| Databáze: | OpenAIRE |
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