| Abstract Detail
Systematics Section/ASPT Little, Damon [1]. Monographia: open–source software to automate revisionary systematic studies. Monographia is an open source web–based software package designed to automate many of the labor–intensive tasks associated with revisionary systematic studies. It facilitates the rapid gathering of data by allowing researchers to integrate existing digital data with new observations; collect and georeference specimen data; collect and link individual morphological and molecular observations to specimens and literature; and link images and other multimedia to specimens, literature, definitions, characters, and character–states. It dynamically compiles specimen–based species descriptions in a variety of formats along with tabular descriptions, electronic keys, distribution maps, and graphs depicting character variation. Compiled data can then be submitted for publication and/or deposited in existing repositories (e.g. Encyclopedia of Life). Monographia is far more than a dynamic compilation tool: It facilitates collaborative research among systematists and allows data to be exchanged and reused across projects and databases—eliminating duplicated effort and improving data quality. It integrates intelligent identification tools that will provide automated assistance to systematists and at the same time provide non–systematists with free expert knowledge. Monographia preserves information that is usually lost soon after publication (e.g., individual morphological measurements) facilitating asynchronous collaboration among researchers. It facilitates simultaneous communication to a variety of audiences using an integrated multilingual design. Log in to add this item to your schedule
1 - The New York Botanical Garden, Cullman Program for Molecular Systematics, 2900 Southern BLVD, Bronx, NY, 10458, USA
Keywords: software revisionary systematic.
Presentation Type: Oral Paper:Papers for Sections Session: 4 Location: Payette/Boise Centre Date: Monday, July 28th, 2014 Time: 10:45 AM Number: 4011 Abstract ID:584 Candidate for Awards:None |