How Should Relational Tables Be Structured for Monitoring Fishing Industry Data?

[IT-Student]

Homework Statement

Prepare the Relational Tables to represent the following situation, which is
described by means of text and an Entity Relationship Diagram.
Note: Do not attempt to modify the ERD. Your task is to state the relational tables
which fit the given ERD.

The NSW government has agreed to set up an organisation to monitor the fishing
industry in this state. The concern is that over-fishing might lead to the eventual
extinction of some species and great problems for those people who depend on
seafood for their survival. The organisation wants a computer based information
system to store the data necessary to monitor the situation.
All commercial fisherpersons within the state must have a license to fish which is
granted each year by the organization. Records of all licences issued over the last
5 year's must be maintained by the system.

A register of all major species, identified by the government species code, is to be
kept and is to be regularly updated with the population surveys of each species
which will be carried out by the organisation's scientists. The scientists will work
out a "minimum population" figure and a "total catch" figure, for each calendar
year, for each species.

Each licenced commercial fisherperson must apply to the organisation annually
for quotas which specifies the amount of each species of seafood that the
fisherperson can catch in a particular year. A catch report must be made by each
commercial fisherperson listing the tonnage of each species caught on each
fishing expedition. The fisherperson also provides a brief weather description for
each expedition and the boat name. The organisation has inspectors who do
random audits to ensure that the catch reports are accurate.

These reports are to be stored so that the quotas can be checked to ensure that
fisherpersons are not over-fishing.
The system will produce regular reports of trends in species populations and
exception reports where the population seems to be falling rapidly, or it is
approaching the "minimum population" levels, or where the population surveys do
not match the catch reports.
One type of report is shown below for Mr John Snapper. (Note that there are
several other types of reports.)

Homework Equations

The Attempt at a Solution

ERD

============
Organization (OrgId, supervisor_id) (1:1)

Supervisors( Supervisor_id, name, experience) (1:1) [[FK references Organization]]

Licensee_Details (Licensee_Key, Licensee_Id, Name, Licensee_Addr_Key,License_Issue_Date, License_Expiry_Date)(1:1)

Licensee_Address (Licensee_adress_key, licensee_key, addr1, addr2, state) (1:1)

Licenses_Issues_Record (License_Issued_Key, Licensee_key, License_Issue_Date) [[REPORT]]

Species_Records (Species_Key, Species_Id, Min_Population, Total_Catch, Year) (1:1)

Govt_Quote_List (Govt_Quote_List_key, Licensee_Key, year, species_key,quantity) (1:1)

fisherman_report_master (fisherman_report_key, licensee_key, expedition_date, weather, boat_name, year) (1:n)

fisherman_report_child(fisherman_report_child_key,fisherman_report_master_key,species_key, tonnage) (n:1)

 

[Valkarie]

[[FK references fisherman_report_master]]audit_record (audit_record_key,licensee_key,fisherman_report_master_key) (n:1) [[FK references fisherman_report_master]]John_Snapper_Report (John_Snapper_Report_Key, species_key, year, quantity,total_catch) (1:1) [[REPORT]]

 

[Mene]

inspector_report (inspector_report_key, fisherman_report_key, inspector_name, inspector_comments) (1:1)

System_reports (system_report_key, report_type, report_date, report_data) (1:1)



Relational Tables:

1. Organization (OrgId, supervisor_id)
2. Supervisors(Supervisor_id, name, experience, OrgId)
3. Licensee_Details (Licensee_Key, Licensee_Id, Name, Licensee_Addr_Key, License_Issue_Date, License_Expiry_Date)
4. Licensee_Address (Licensee_adress_key, licensee_key, addr1, addr2, state)
5. Licenses_Issues_Record (License_Issued_Key, Licensee_key, License_Issue_Date)
6. Species_Records (Species_Key, Species_Id, Min_Population, Total_Catch, Year)
7. Govt_Quote_List (Govt_Quote_List_key, Licensee_Key, year, species_key, quantity)
8. fisherman_report_master (fisherman_report_key, licensee_key, expedition_date, weather, boat_name, year)
9. fisherman_report_child (fisherman_report_child_key, fisherman_report_master_key, species_key, tonnage)
10. inspector_report (inspector_report_key, fisherman_report_key, inspector_name, inspector_comments)
11. System_reports (system_report_key, report_type, report_date, report_data)