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HerpNET aims to create a distributed database system among 36 North American museums using DiGIR protocol, enabling the georeferencing of all North and South American localities. This innovative project includes establishing a consistent georeferencing methodology and calculating errors. Progress includes launching the website, facilitating communication through a Listserv, and compiling data across institutions. As of now, around 650,000 unique localities and 3.5 million specimen records have been documented, with a public production gazetteer anticipated by January 31, 2004.
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Goals of HerpNET • Produce a distributed database among 36 museums in North America • Use DiGIR protocol • Georeference all N/S American localities in these collections and make them available through these distributed databases • Establish a consistent methodology of georeferencing, including error calculation
Progress to Date • Publishing Website (www.herpnet.org) • Establishing Listserv to facilitate communication between institutions • Gathering all collection data from 36 institutions • Start of georeferencing at Year 1 institutions • Establishing prototype gazetteer of all unique localities* *Note: Due to some technical and staffing problems, along with delays in obtaining collection data, the projected new date for the finished gazetteer is January 31, 2004.
Progress of claiming localities: • ~650,000 unique localities (using prototype gazetteer) • 3.5 million specimen records total • Of these, ~391,700 have been claimed • Leaves 40% left to be claimed • Of this total, 110,000 are MVZ localities, which have already been georeferenced
Georeferencing Rates on average • US localities=~10-20 per hour 1000 localities = 67 hours • Foreign localities = ~4 per hour 1000 localities = 250 hours
Next Steps: • Make production gazetteer public (projected date is Jan 31, 2004) • Institutions download rest of claimed data and georeference those localities • Set up servers at institutions soon? (e.g. core institutions with available computer personnel) • Make kernel of country data available (e.g. Belize, Honduras, El Salvador) • Set up filters at institutions with servers