| Abstract Detail
Recent Topics Posters Kinosian, Sylvia [1], Pearse, William D. [2], Barkworth, Mary [3]. Spindle: SPecimen INformation Data capture and Label crEation. Many regions of botanical importance are located where Internet connectivity is slow, intermittent, or expensive. Herbaria in these regions often lack the high-speed Internet needed to access online tools for contributing record information to regional and taxonomic data aggregators. In addition, systematists working in these areas often must create and manage personal, offline databases to keep track of important biodiversity data until they can safely submit their data to a herbarium database; this frequently introduce errors into their data. We describe an open source, offline program to make it easier for herbaria and collectors alike to record biodiversity data for their own use and subsequent submission to online databases. By validating data as the user enters it and generating labels for specimens, our app will also be of use to those with ready Internet access by streamlining the process of specimen preparation. The app is written using Angular, a combination of JavaScript and HTML, and can work online or offline via most web browsers released within the last decade. Our app is meant to integrate with Symbiota, a software platform commonly used used by herbaria in North America, which is designed primarily for those with reliable and high speed internet connectivity. Our app is not intended to offer all the features included in Symbiota, but it will make it easier to provide high quality data from herbarium records to a Symbiota network, regardless of their Internet connection. Log in to add this item to your schedule
Related Links: Github for Spindle
1 - Utah State University, Biology, 5305 Old Main Hill, Logan, UT, 84322, USA 2 - Utah State University, 5305 Old Main Hill, Logan, UT, 84322, United States 3 - Utah State University, Intermountain Herbarium, 5305 Old Main Hill, Logan, UT, 84322, United States
Keywords: herbarium database app program.
Presentation Type: Recent Topics Poster Session: P, Recent Topics Posters Location: Grand Ballroom - Exhibit Hall/Mayo Civic Center Date: Monday, July 23rd, 2018 Time: 5:30 PM Number: PRT014 Abstract ID:1298 Candidate for Awards:None |