Validating electronis databases to ensure accuracy and integrity of data
species identification, sampling techniques) and tools (i.e.data flow diagrams, task analysis) can be mutually beneficial to the two systems.Depending on the quantity of data and the availability of resources, commercial desktop applications for database development can have long-term limitations.For larger fisheries, they should only be used for initiating data collection programmes and prototyping (i.e. The limits of these tools for large-scale sampling should be realised and the data collection methodology will eventually require migration into a more formal and robust system.Another possible benefit is that the database design can also be used as a tool to assist the development of the data collection programme.If the two development phases occur simultaneously, the use of common terminology (i.e.Although adapting a system has lower initial costs, it can sometimes prove more costly in the end because of increased maintenance requirements.
The design of a data management system should follow the basic data processing principles. The data management system should be integrated with the data collection system as far as possible.
Decision making for fisheries policy-making, planning and management relies largely on processed information, not raw data.
Data have to be interpreted before they can be utilised.
When considering the approach to take for creating a new data collection system, there are various options available.
These include: The advantages and disadvantages vary for each approach and should be weighed carefully before committing resources.