A conceptual schema outlining the principal modules and components of the BioCorder project can be found in the attached document. This provides a cartoon style representation of the data types we plan to accommodate within BioCorder.

Schema

iChat video conferences are scheduled for Fridays at 16.00h British Summer Time (10.00h Central, 11.00 Eastern). These will commence from July 2005, and, prior to this, occur ad hoc.

Where necessary, links to minutes of these conferences appear below:

Documents and agenda associated with upcoming meetings relating to the BioCorder project:

Fairbanks, Alaska (10-14 June, '05)
To be added.

Glasgow, UK (2006 - Unscheduled)
Location to be confirmed.

Details, notes and agenda from previous meetings related to the BioCorder project:

Orlando, Florida (21-24 April, '05)
Mark Hafner, Greg Mullane, Rod Page, David Reed, Simon Rycroft & Vince Smith attending. A broad outline of the items discussed can be found in the attached document.

Fairbanks, Alaska (10-14 June, '05)
To be added.

TSE now supports the OpenSearch interface developed by A9.com (Amazon.com's new search engine). You can add TSE to your search by going to A9 and clicking on the Add Columns to your Search Results link on the right).

Assimilating data relating to the World's biodiversity hinges upon a seamless data environment uniting both local and distributed information. Numerous biological databases contain data relevant to the study of biodiversity, but most of these databases are not interoperational, and few are designed to seek out related data in other publicly available databases. Furthermore, none of these biodiversity databases link to locally stored user data. The primary goal of the BioCorder project is to develop an information technology framework and infrastructure that facilitates the discovery, access, integration, and analysis of distributed phylogenetic and biodiversity data. BioCorder will also link these distributed data resources to locally stored specimen-based data, which will allow biodiversity researchers to manage data in a structured workflow environment and answer complex research questions that were once intractable.