The underlying architecture and tools provided by BVR
help ensure the success of the distributed data model by providing structure and clarity
to the distributed data network. This structure will allow all members of
the biodiversity research community to contribute data, observations and
information to the network, with the assurance that their data can be
easily searched for, and retrieved by others on the network.
With
the advent of the Internet it is now possible to connect individual
computers into a worldwide network. The next logical step is to provide a
resource sharing mechanism.
The
architecture is comprised of:
-
An
Application Layer providing a rich set of user features;
-
A
Metadata Engine enforcing standard nomenclatures allowing for the
creation of a virtual repository; and
-
A
Transport Layer allowing for communications between nodes.
Our
technology provides users with the tools to create flexible data capture
environments while enforcing strict metadata standards.
Data
stored in the virtual repository are abstracted from the presentation.
This allows for the data to be stored in a consistent, standard format,
yet presented to each user in the format or language they wish.
Data
contained in the virtual repository is physically stored on a multitude of
individual computers. There is no need for central storage and backup
since the data can be replicated within the distributed network, making it
persistent.
The
virtual repository takes advantage of the physical storage device of the
individual computers in the network. A network of 1 million computers each
contributing 1 gigabyte of disk space would create a virtual repository of
1 petabyte or 1 quadrillion bytes of storage capacity.
No central server architecture could provide such storage capacity.
Quite
simply, a distributed data repository addresses the challenges brought on
by the use of centralized data repositories. Architected from the ground
up to facilitate large-scale data collection, search, integration and
analysis – distributed networks are the future.