title: JellyWeb: an interactive information system on Scyphozoa, Cubozoa and Staurozoa.
abstract: Identification of organisms is traditionally based on the use of "classic" identification keys, normally printed on paper. These keys have several drawbacks: they are mainly based on the systematics, requiring identification of orders, families and genera at first; they are written by experts for other experts, in a specific scientific jargon; they have a "frozen" structure (sequence of theses/antitheses); once published, they cannot be changed or updated without printing a new edition. Due to the use of computers, it is now possible to build new digital identification tools, which: 1) can be produced automatically, if the characters are stored in a database; 2) can be freed from the traditional systematics, giving priority to easy-to-observe characters, incl. those usually uncommon to the classical keys, such as ecology and distribution; 3) can be updated in real time once published on-line; 4) can be available on different media, and on mobile devices. An important feature of these new digital tools is their "collaborative" nature. They can be enriched by the contribution of several researchers, which can cooperate while maintaining rights and property of the resources and data they contribute to the system. JellyWeb, the information system on Scyphozoa, Cubozoa and Staurozoa has been developed in Trieste since 2010. The system was created with the aim of - potentially - becoming a starting point for a wide collaborative effort in developing a user-friendly worldwide digital identification system for jellyfishes.
authors.affiliation: University of Trieste, Department of Life Sciences, via L. Giorgieri 10, I-34127 Trieste, Italy.
authors.forename: Stefano
authors.initials: S
authors.lastname: Martellos
authors.affiliation: University of Trieste, Department of Life Sciences, via L. Giorgieri 10, I-34127 Trieste, Italy.
authors.forename: Luca
authors.initials: L
authors.lastname: Ukosich
authors.affiliation: University of Trieste, Department of Life Sciences, via L. Giorgieri 10, I-34127 Trieste, Italy.
authors.forename: Massimo
authors.initials: M
authors.lastname: Avian
keywords: Biodiversity informatics; Cnidaria; FRIDA; Medusozoa; identification; jellyfish