Be the first to like this
Symbiota (http://symbiota.org/tiki/tiki-index.php) is an open source software designed to promote and facilitate
collaboration among those working to document biodiversity. Symbiota has become increasingly popular in
recent years in North America, due in part to its suitability to support large herbarium networks and
NSF-sponsored Thematic Collections Networks (TCNs; see https://www.idigbio.org/content/thematic-collectionsnetworks).
The specimen-based Content Management System (CMS) provides a shared platform allowing
researchers to manage biological resources as an integrated network. Data management through a
community-based system has allowed for the development of several features and workflows that have
enhanced efficient data entry while improving overall data integrity and quality. On-line data entry directly from
an image of the specimen label allows for label transcription and error resolution that can call upon a global user
community. A novel crowd sourcing feature in Symbiota offers collection managers the ability to submit
specimen label images to a queue for group data entry by a volunteer task force. To improve efficiency and
quality, the user interface incorporates Optical Character Recognition (OCR) and Natural Language Processing
(NLP) capabilities, as well as duplicate and exsiccati record harvesting and real-time data validation. The
duplicate clustering module groups duplicate specimen records across institutions, thereby obviating the need to
re-enter a previously processed specimen and enhancing the task of locating and resolving misidentified
specimens, viz. by highlighting the most recent annotation events within a cluster. As an additional review step,
collections can opt to allow registered users to fix basic errors if and when they encountered them. Collection
managers have the ability to review, approve, or revert such edits. Several other novel community features are
available through Symbiota, including an integrated loan management module and pre-accessioned data entry
by the original collector. We will demonstrate and discuss these features, their underlying concepts,
implementation, utility, and future steps to further augment the community of contributing users.
Clipping is a handy way to collect important slides you want to go back to later.