Advanced Research Corp. specializes in the design and implementation of Fisheries Information Systems (FIS).
A fisheries information system is a general term used to describe an information system to collect, manage, and share fisheries information and data for a wide variety of uses.
The Fish Trax™ system is a leading-edge electronic fishery information platform that revolutionizes the way fisheries information is collected, analyzed and shared. Envisioned initially by fishermen to better track important resource data, Fish Trax™ has now expanded to serve as a tool for the seafood industry, allowing managers, scientists, regulators, and marketers to collect data and collaborate on ways to improve sustainable management practices.
The oceans are feeling mounting pressure from multiple directions. Diverse ocean uses such as energy production, food production, shipping, and recreation are placing greater demands on our oceans and impacting the ecosystems they support. This makes it important for consumers, fisherman, and managers to make informed decisions about how limited ocean resources are used. FIS’s can help in this process. By sharing information scientists, policy makers, fisherman, and consumers can make better informed decisions affecting the ocean.
One of the advantages of an FIS is that the same information can be used for a variety of purposes. This helps reduce costs by sharing data among different user groups.
FIS’s typically store the the following types of information.
There are several potential users of FIS’s. Each user group will have different needs for the data. As the number of user groups increases granular access to the data becomes import. Therefore a well developed data sharing procedure must be implemented. Below is a list of possible user groups that should be considered when designing such a system.
Below are some common components that can be found in a fisheries information system. Several factors affect which components are present and how they are implemented. Potential factors are the number and types of user groups, the nature of the fishery itself, and the type of information being stored.