Database ease of updating Six room7

In all cases, the system should be fully documented.However, custom systems are often still better than on-site adaptation of a commercially available system, as significant modifications to an existing system can sometimes cripple their intended function.Benefits from prototyping may include better identification of data flows and system components, which can assist integration of the data collection methodology and data storage design.

The responsible authority must commit adequate financial and personnel resources for maintenance, make regular archives to protect the data, and periodically re-evaluate the design to be sure the system is meeting its objectives.

Access should be controlled to ensure database integrity and confidentiality, but interfere as little as possible with legitimate access.

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.

In a distributed system, data are entered and validated locally, but linked with other databases for analysis.

Data can be made accessible for analysis through a centralised database, preferably housed at a national institution.

The volume of raw primary data is often very large, and so can only be used effectively if held in a Data Base Management System (DBMS).

The functions of a DBMS are:· to ensure data conform to standard classifications;· to ensure validity of the data;· to ensure data integrity and internal consistency;· to secure and maintain primary data;· to allow easy access to primary data;· to process the data efficiently as required;· to allow different data sets to be integrated, thereby increasing their overall utility.

Fishery data must be stored securely, but made easily available for analysis.

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