(A) | Country |
See Country.REF | |
(B) | State |
Different for each country | |
(C) | Environment |
1. | Sea water: All natural and artificial habitats associated with the open sea and protected water bodies where the volume of fresh water does not modify appreciably the salinity (always 30 > ‰). |
2. | Brackish water: All natural and artificial habitats in coastal zones associated with protected water bodies where the volume of fresh water determines the forming of masses with variable salinity (between 0 and 40‰). |
3. | Freshwater: All natural and artificial habitats associated with inland water bodies with salinity values around 0‰. |
(D) | Type of Cultured Product |
1. | Flesh: Products of animal origin destined for human consumption. |
2. | Seed: Includes all the organisms, in their different phases of development, used as raw material on the aquafarm. This category includes organisms used as broodstock |
3. | Manufactured products: Products and sub-products obtained from cultured or caught organisms. The products included in this category are used by the industry and are not for human consumption. |
(E) | Culture System |
This field contains categories which allows the identification of product (flesh or seed) origins in the statistics. Therefore selection facility should be the same as that used during most of the culture process, to obtain the final product
01. | Ponds: Artificial deposits, constructed above or under ground level and able to hold and exchange water. They are used specifically for aquaculture with different forms, sizes and material (earth, cement, etc.). |
02. | Reservoirs/Barrages: Artificial deposits created by using impermeable barriers, which can retain large water volumes. They are built to generate electricity, for irrigation or to control water-courses and can be used for aquaculture purposes. |
03. | Deposits: Artificial enclosures formed by earth walls, usually associated with agriculture (i.e. rice-fields or troughs) or present in special topographic conditions (i.e. paddles). They can retain water temporarily. |
04. | Enclosures: Water masses surrounded by a net or other type of barrier which allows complete water exchange. The physical barriers can cover all the perimeter of the enclosure or only part of it This kind of enclosure occupies the entire water column between the bottom and the surface. They are used for aquaculture in all environments. |
05. | Cages: Small or medium-sized artificial facilities used for suspension culture in all environments. Cages are formed by a frame holding a net or a barrier made of porous material which allows the exchange of water and maintains separate the cultured populations. Cages can be placed at different depth using anchorage and floating mechanisms. |
06. | Tanks: Superficial deposits or small and medium-sized facilities specially designed for the intensive culture of aquatic organisms in open or closed systems. They are made of cement or synthetic materials. |
07. | Raceways: Rectangular facilities made of cement, used for intensive culture with high exchange of water (more than 20 renewals per day) in all environments. |
08. | Suspension culture: This category includes the culture systems for the production of mollusks and seaweed in brackish or marine waters with facilities endowed with anchorage and floating mechanisms. Depending on the organism cultured, this can be separated within the facility or fixed to a floating frame. This category includes long-lines, bags, sticks, baskets, etc. |
09. | Bottom culture: Extensive culture systems in brackish and marine waters for the production of mollusks and seaweed, characterized by the direct distribution of the organisms on the bottom, which can be previously prepared to get an adequate substratum. |
10. | Hatchery: Equipment and infrastructure where out the production of seed is carried. Usually the hatchery includes tanks for intermediate products and small ponds for broodstock. |
11. | Collection: This category includes all the systems for the collection of wild seed (larvae of mollusks, post larvae of crustaceans and fingerlings of fish). |
(F) | Type of Culture |
1. | Extensive: Production scheme characterized by the use of large areas where the organisms are stocked at low density. In extensive aquaculture there is not pond fertilization and artificial feeding. Control of predators and water quality is low or non-existent. |
The following are examples of extensive aquaculture: bottom culture of mollusks and seaweed, fish culture in reservoirs, enclosures or shrimp ponds of more than 30 ha. | |
2. | Semi-intensive: Production scheme developed in facilities of medium and small size with the following characteristics: organisms are cultured with density and size control, density is higher than in the extensive model, feeding and fertilization are systematic, with or without control of predators and water quality. |
The following are examples of semi-intensive aquaculture: suspension culture of mollusks and algae, fresh water fish and crustacean culture in cages, shrimp culture in ponds with water exchange rates less than 10 per day. | |
3. | Intensive: Intensive aquaculture is based on high technological knowledge, expressed by a strict control of the cultured population (density and size) and the best use of space. It is characterized by: control of predators, water quality, feeding total diet, use of aeration systems, filters, prevention and control of diseases. In some cases recirculation systems, genetic selection of organisms, automatic control of water quality and feeding operations can be used. |
The following are examples of intensive aquaculture: raceways, tanks and ponds with high exchange of water (more than 20 renewals per day), cages for marine fish, hatcheries. |
(G) | Species Group | |||
See SpeSets.REF. The structure of this reference file is as follows: | ||||
Field Name | Type | Len | Index | |
DBNAME | C | 15 | N | |
ROOT | C | 3 | N | |
DATEINSTAL | D | 8 | N | |
DATEMODIFY | D | 8 | N | |
DATEUPLOAD | D | 8 | N | |
REMARK | C | 20 | N | |
DBSHOW | C | 19 | N | |
SIZE_TYPE | C | 20 | N |
(H) | Species |
See Species.REF | |
(I) | Product Category |
01. | Flesh: Products of animal origin destined for human consumption. |
02. | Seed: Includes all the organisms, in their different phases of development, used as raw material on the aquafarm. This category includes the organisms used as broodstock. |
03. | Manufactured products: Products and sub-products obtained from cultured or caught organisms. The products included in this category are used by the industry, not for human consumption. |
04. | Artificial feeds: All types of balanced feed, associated with cultured organisms. |
05. | Live food: Whole or part of live organisms used for feeding cultured organisms, i.e., microalgae, Artemia, zooplankton. |
06. | Food ingredients: Raw materials used to prepare food for aquaculture (classified in the category 04 Artificial feeds). |
07. | Hormones and medicaments: Include all products provided to cultured organisms for reproduction or health control. |
08. | Chemicals for food: Include chemical compounds, organic or inorganic, natural or artificial, used to prepare feed for aquaculture (classified in the category 04 Artificial feeds). |
09. | Chemicals for water: Include all chemical products used to control water quality. |
(J) | Presentation |
01. | Whole: The cultured organism, as it is harvested. |
02. | Headed: The cultured organism, once the head has been separated. Applicable to fish and crustaceans (in which case the head is represented by the cephalothorax). |
03. | Peeled: Crustacean without peel, head and, in some cases, claws. |
04. | Gutted: Fish without gut. |
05. | Headed and gutted: Fish of medium and large size without head and gut (i.e.salmon). |
06. | Pulp: Bivalve mollusk without shell. |
07. | Fillets: Portion of flesh obtained from the fish and cut parallel to the backbone. |
08. | Fillets boneless: The fillet once all the bones have been removed. |
09. | Fillets skinless: The fillet once the skin has been removed. |
10. | Fillets boneless and skinless: The fillet without bones and skin. |
11. | Ring/slice: Section of flesh with skin and bones, obtained by cutting perpendicularly to the backbone. |
12. | Head: Anterior section of fish (including the gills) and crustacean (cephalothorax). |
13. | Legs: The legs of frog skinned. |
14. | Whole crustacean: Crustaceans harvested or caught after the ecdysis. |
15. | Strips: Portions of flesh boneless and spindle-shaped. |
16. | Eggs: Ripe eggs of fish, obtained by gutting them. |
17. | Muscle: Adductor muscle of bivalves. The foot in gastropods. |
18. | Shell: Calcareous structure which covers the body of mollusks. |
19. | Viscera: Visceral mass of harvested organisms. |
20. | Skin: Epithelial tissue which covers the body of cultured fish, amphibian and reptiles. |
21. | Powder: Dried unicellular algae. This category includes also the product obtained by grinding dried crustaceans. |
22. | Ornamental species: Organisms cultured for ornamental purpose. |
23. | Larvae: Early phases in the development of fish, crustaceans and mollusks, after the egg maturation; characterized by morpho-physiological changes which occur in short times. |
24. | Fingerlings: Larval phases of fish characterized by the presence of a special organ which feeds the organism for a determined period until it can eat directly from the environment |
25. | Nauplia: First larval phase in crustaceans, as shrimps and Artemia. |
26. | Fixing larvae: Larval phase in bivalves before the fixation to a substratum, characterized by the presence of a typical foot |
27. | Seed, postlarvae: First development phase after the larval one. |
28. | Juveniles: Development phase where the organism acquires the characteristics that will be maintained during the adult phase. |
29. | Broodstock: Adult organisms completely developed, selected for reproduction. |
30. | Fertilized eggs: Eggs already fertilized, ready for incubation. |
31. | Buds/Thalli: Development phase in cultured macroalgae, characterized by a vegetative growing up (asexual type) which support the propagation. |
32. | Cysts: Latent life form of Artemia embryo, characterized by a hard membrane (corion) that protects the egg. |
33. | Flour: Raw material for the production of artificial feeds, obtained from animal and vegetable products (i.e. grains, meat, bones, blood, etc.). |
34. | Solubles: Dissolved substances, obtained by processing animal or vegetable materials. They are used for the production of artificial feeds. |
35. | Oils: Fat liquids of animal and vegetable origin, used for the production of artificial feeds. |
36. | Agglutinants: Protein extracts like gel, used to compact artificial feeds. |
37. | Yeast: Thin dry dusts with high contents of protein, originating from a particular type of fungus. |
38. | Aminoacids: Basic compounds of the proteins, used in aquaculture to enrich the diet of cultured organisms. |
39. | Vitamins: Organic substances extracted from vegetables and animal products, which are considered basic ingredients of balanced feeds. |
40. | Pigments: Chemical substances, obtained from vegetable and animal products, which are added to diets, with the purpose of giving a special color to the skin or to the flesh of the cultured organism. |
41. | Preservatives: Chemical substances added to the diets with the purpose of preventing rapid decomposition. |
42. | Food for Salmonids: Balanced feed specially studied for salmonids. |
43. | Food for Catfishes: Balanced feed specially studied for catfishes. |
44. | Food for Penaeid Shrimps: Balanced feed specially studied for Penaeid Shrimps. |
45. | Food for Ciclids: Balanced feed specially studied for Ciclids (except the ornamental fish). |
46. | Food for Cyprinids: Balanced feed specially studied for Cyprinids (except the ornamental fish). |
47. | Food for ornamental fish: Balanced feed specially studied for ornamental fish. |
48. | Hormones for grow-out: Proteic compounds used to stimulate the growth. |
49. | Hormones for sex reversion: Proteic compounds used to stimulate sex reversion in Ciclids. |
50. | Hormones for spawn induction: Proteic compounds used to induce spawning. |
51. | Fertilizers: Organic and inorganic compounds used to improve the proliferation of phytoplankton in the ponds. |
52. | Active carbon: XXX |
53. | Anti-fouling: Chemical substances used to control algae proliferation in the farm facilities. |
99. | Others: whatever presentation not mentioned above. |
(K) | Preservation |
01. | Smoked: Product conserved under the partial drying action of smoke produced by slow burning of wood. It is a typical preservation technique used with fish, such as trout and salmon, or with the pulp of bivalves, such as oysters and mussels. |
02. | Vacuum smoked: Smoked products packed using vacuum technique. |
03. | Grilled: Fresh products which have been exposed to direct fire. It is used with fish and crustaceans. |
04. | Fresh on ice: The harvested product, temporarily preserved on ice before its marketing. |
05. | Fresh refrigerated: The harvested product, temporarily preserved at low temperatures using refrigeration system. |
06. | Fresh alive on ice: Preservation system usually applied to bivalves and gas tropods to maintain the organisms alive before marketing. |
07. | Frozen: Product preserved at temperatures below 0°C. (includes organisms preserved individually, IQF). |
08. | Live: Harvested or collected live organisms, allotted to certain specialized markets or to aquaculture units. |
09. | Salted: Type of preservation applied to fresh gutted fish, crustacean-like shrimp or some eatable algae. It consists of the addition of salt to a level exceeding the content in the fresh product |
10. | Dried: Harvested or collected organisms preserved with drying procedures. |
11. | Dry-salted: Harvested or collected organisms, dried and salted. |
12. | Canned: Harvested organisms, packed in containers hermetically sealed after a pasteurization process. The product can be processed under different modalities (smoked, marinaded, etc.). |
13. | Cooked on ice: Harvested organisms, cooked and preserved on ice. |
14. | Inert pack: Packing method used for products relatively stabilized, like flesh, balanced feed, fertilizers, solid chemical compounds. |
15. | Latent pack: Vacuum packing and preservation method used for cysts of Artemia, generally with cans or bags. |
(L) | Sector |
1. | Public: This category includes entities/institutions/agencies owned or controlled by the Government. |
2. | Private: This category includes entities/institutions/enterprises which develop an economic activity with own funds. |
3. | Mixed: This category includes entities/institutions/enterprises created with private and public capital. |
(M) | Field of Activity |
01. | Production, grow-out: This category includes the units dedicated to the production of organisms for human consumption or for industrial use. |
02. | Production, seed: This category includes the units dedicated to the production of seed (larvae, postlarvae, fingerlings, etc.). |
03. | Collection: This category includes individuals and/or enterprises specialized in the collection of seed from the natural environment |
04. | Research/education: This category includes public and/or private institutions which develop on a regular basis research programmes related to aquaculture. |
05. | Public administration: This category includes all governmental agencies in charge of activities related to aquaculture (seed production, extension, policy, etc.). |
06. | Consultancy: This category includes individuals and/or enterprises which offer consultancy and technical assistance services related to aquaculture. |
07. | Construction: This category includes enterprises specialized in construction and engineering which offer their services to the aquaculture sector. |
08. | Food production: In this category are represented factories which produce diets for aquaculture, including live food for cultured organisms and ornamental fish. |
09. | Fertilizers production: In this category are represented factories which produce fertilizers used in aquaculture. |
10. | Processing: Enterprises/factories which process the products of aquaculture (packaging, canning, etc.) |
11. | Input suppliers: In this category are represented individuals and/or enterprises which produce and/or distribute equipment or materials used in aquaculture activities, not included in other categories of this field. |
12. | Marketing: In this category are represented individuals and/or enterprises which receive and distribute the products of aquaculture to the centres of consumption. |
13. | Mixed: Individuals and/or enterprises/institutions which develop simultaneously different activities related to aquaculture, at the same level of importance. |
(N) | Type of Facility |
This field contains categories which allows the identification of product (flesh or seed) origins in the statistics databases. Therefore selecting facility should be the same as that used for the culture process [see point (E)].
01. | Ponds: Artificial deposits, constructed above or under ground level and able to hold and exchange water. They are used specifically for aquaculture with different forms, sizes and material (earth, cement, etc…). |
02. | Reservoirs/Barrages: Artificial deposits created by using impermeable barriers, which can retain large water volumes. They are built to generate electricity, for irrigation or to control water-courses and can be used for aquaculture purposes. |
03. | Deposits: Artificial enclosures formed by earth walls, usually associated with agriculture (i.e. rice-fields or troughs) or present in special topographic conditions (i.e.: paddles). They can retain water temporarily. |
04. | Enclosures: Water masses surrounded by a net or other type of barrier which allows complete water exchange. The physical barriers can cover all the perimeter of the enclosure or only part of it This kind of enclosure occupies the entire water column between the bottom and the surface. They are used for aquaculture in all environments. |
05. | Cages: Small or medium-sized artificial facilities used for suspension culture in all environments. Cages are formed by a frame holding a net or a barrier made of porous material which allows the exchange of water and maintains separate the cultured populations. Cages can be placed at different depth using anchorage and floating mechanisms. |
06. | Tanks: Superficial deposits or small and medium-sized facilities specially designed for the intensive culture of aquatic organisms in open or closed systems. They are made of cement or synthetic materials. |
07. | Raceways: Rectangular facilities made of cement, used for intensive culture with high exchange of water (more than 20 renewals per day) in all environments. |
08.–15. | Suspension culture: This category includes the culture systems for the production of mollusks and seaweed in brackish or marine waters with facilities endowed with anchorage and floating mechanisms. Depending on the organism cultured, this can be separated within the facility or fixed to a floating frame. This category includes long-lines, bags, sticks, baskets, etc… |
16. | Bottom culture: Extensive culture systems in brackish and marine waters for the production of mollusks and seaweed, characterized by the direct distribution of the organisms on the bottom, which can be previously prepared to get an adequate substratum. |
(O) | Type of Disease |
For the description refer to the International Epizooties Office (IEO). | |
(P) | Type of Project |
1. | Investment: In this category are included investment projects of any kind, with the pertinent studies (preliminary studies, feasibility studies, etc.) |
2. | Research: In this category are included research projects of any area (scientific, marketing, etc.) related to aquaculture. |
The national centers will manage the flow of the data between the various national sources of data and themselves and will be responsible for the interfacing procedures (installation, training, setting-up, etc…) to the Regional Module.
To this end the national coordinators can operate with the data collection mechanisms already in existence in their countries taking into account three major aspects:
In the first instance, they have to build up an automatic and routine quality data control associated with verification of the input data. This process, which is of fundamental importance should be exerted with the assistance of the various colleagues operating in the field because they are closer to the source and can better intervene to correct any major discrepancies. Participation of these persons, apart from the typical data collection and data transfer, should be more and more oriented toward an active role in the quality control and validation of the source of databases on their specific subject/area of competence. The second step in the data collection and compilation process lies with the National Centers where all the national data will be conveyed. The responsible people will therefore evaluate the quality of the data received by classifying them into: data not reliable (therefore to be either revised or rejected), data reliable but confidential (therefore they cannot be distributed) and, data reliable that can be sent to the regional center. It is clear that these three categories cannot be considered as fixed. It is only a way of underlining the importance of the national centers vis-à-vis the question of data certification.
In the second instance, it is necessary to establish a data transmission interval for the constant collating and distribution of national data. This aspect is of primary importance in respect to the integration of national data within the regional contest since the different databases will follow different updating logic. It is suggested that the merging of national data and therefore downloading to regional databases follow a strict pattern, agreed to on a regional basis, and that each time, regardless which database was updated, to distribute the whole regional module.
In the third instance, the knowledge and experience of the national coordinators may be exploited to improve the interest around Sipal. It may be possible that in the first period of implementation, the system requires more data or categories than are currently available to the fishery and aquaculture department in a country. In this case, its contribution to Sipal could reduced. A capillary action of the various fishery and aquaculture officers, together with local producers and experts who constitute a consistent portion of the end users, may influence in the short and medium term expansion of the data collection both in terms of coverage and in data elements.
As discussed during the presentation of the Sipal Prototype, and during the training given to the national coordinators, although the National Module is supplied with all the necessary software, each country is free to use its own software or databases. It is the responsibility of the System Manager to request all countries to send the updated files according to a given time schedule, and regardless of where such data are resident (Sipal Databases or National Databases). It will be the responsibility of the national coordinators to recompile the data from the national database to the regional structure of each database, and send them to the Regional Center.
The updating process in Sipal was conceived in a way as not to charge the National coordinator with extra workload due to their functions in this process. The first phase in this process is built at the national level, where the country may decide to use the software support provide within Sipal, or access their own databases in local or remote mode. In the two cases the operator will make use of a simple mechanism to extract national data for the regional database from a Sipal application (which consists of an automated routine within Sipal) or develop an interfacing routine that may automatically capture the necessary data elements from their own databases, transform them, normalize, standardize and store them in a given structure to be merged with other similar data of the Region. However it is clear that if a country or an institution does not collate and send the data to the Regional center, the regional database will not contain the data of such a country.
In Figure 4, the various routes are given for a better understanding of the data flow in the different situations.
The second and third phases of the data flow intervene at regional level (Figure 5): each country aliments the regional center with their data which are temporarily parked in a directory called “National”. Subsequently each database is “filtered”, through a severe verification process and is transferred to the regional database. Periodically the Regional module will be distributed to the participating countries.
For those countries that will use the Sipal standard software the uploading process will simply be transferring an updated copy of the national database to the Regional Center or, extracting a sub set from the national database. This is the case of countries where, as we strongly supported more “national only” data elements to its databases were added to better respond to their needs. All these date sets will be sent to the regional center to contribute to the regional database. This is one of the main tasks of the Data Manager who has to carefully control all the data coming from the various countries. In this context the introduction of a regional codification system will definitely improve the consistency of the information. For those countries that intend to use their own databases which may reside in a directory different to that given by Sipal, or which is located remotely, the national coordinator must change the content of one or more batch files.
Figure 5. Data Flow - Phase 2 and 3
In fact, in order to keep the hierarchical structure fixed and similar throughout the network, the user interface (menu) was developed in such a way that selecting an application, Sipal invokes a batch file to launch a job that basically contains the following:
resetting the system parameters (if needed).
The Sipal Regional Center, together with the FAO Fishery Department (as backstopping) will assist those countries which require some assistance to introduce those modification to make Sipal work in harmony within their own context
The batch files are all stored in the Directory D:\SIPALJOB, they cover all the menu selections and are organised in the following manner.
Batch File Name | Associated Program |
ACTORS.BAT | Table with the Sipal focal points |
AGRISFAO.BAT | Agris-FAO |
ALIBRARY.BAT | Bibliography |
ANTIVIRU.BAT | Antivirus utility (*) |
APSDEMO.BAT | APS Demo |
APSMAIN.BAT | APS - Aquaculture Planning Simulator |
AQUADAB.BAT | Aquadab-FAO |
AQUADABN.BAT | Aquadab - National |
AQUADABR.BAT | Aquadab - Regional |
AQUASTAT.BAT | Aquastat-FAO |
AQUILA.BAT | Sipal for the Regional Centre (in Spanish) |
BIBCONV.BAT | Bibliography conversion routine |
BIBLIOGN.BAT | Bibliography (national) |
BIBLIOGR.BAT | Bibliography (regional) |
BULLREG.BAT | Sipal Bulletin Board |
CENTRDIN.BAT | Production Centres Directory (national, to be implemented) |
CENTRDIR.BAT | Production Centres Directory (regional, to be implemented) |
CONMANUA.BAT | Text of Sipal Conceptual Design |
COSTBEN.BAT | FAO Cost-Benefit Analysis |
COSTAB.BAT | FAO Project Costing Analysis |
DATABASE.BAT | DBMS-(*) |
DISEGNO.BAT | Software Graphic (*) |
EXPORDIN.BAT | Exporters Directory (national) |
EXPORDIR.BAT | Exporters Directory (regional) |
EXPOSTAN.BAT | Export Statistics (national) |
EXPOSTAR.BAT | Export Statistics (regional) |
FOGLIO.BAT | Spreadsheet (*) |
GLOBFIS.BAT | Selected data from GLOBEHSH |
IMPORDIN.BAT | Importers Directory (national) |
IMPORDIR.BAT | Importers Directory (regional) |
IMPOSTAN.BAT | Import Statistics (national) |
IMPOSTAR.BAT | Import Statistics (regional) |
LEYDIR.BAT | Legislation (texts) |
LEYDABN.BAT | Legislation Database (national) |
LEYDABR.BAT | Legislation Database (regional) |
LISTAL.BAT | Listal - FAO |
NATEXPS.BAT | Listal - National |
PRODSTAN.BAT | Production Statistics (national) |
PRODSTAR.BAT | Production Statistics (regional) |
PROYECTN.BAT | Projects Directory (national) |
PROYECTR.BAT | Projects Directory (regional) |
REFMANUA.BAT | Text of the Sipal Reference Manual |
REGDOCS.BAT | Regional Reports |
REGEXPS.BAT | Listal - Regional |
SANIDADN.BAT | Pathology Database (national) |
SANIDADR.BAT | Pathology Database (regional) |
SIPAL.BAT | Sipal for National Centre |
SIPDEM.BAT | Sipal Demo |
SPECIESD.BAT | Speciesdab-FAO |
STATPACK.BAT | Statistical Package (*) |
SUPPLDIN.BAT | Inputs Suppliers Directory (national) |
SUPPLDIR.BAT | Inputs Suppliers Directory (regional) |
TECNOCUN.BAT | Farming Technology Database (national) |
TECNOCUR.BAT | Farming Technology Database (regional) |
TESTO.BAT | Word Processing software (*) |
USEMANUA.BAT | Text of the Sipal User Manual |
UTILITIE.BAT | System Utilities |
(*) This software is owned by the National Centers.
Sipal at the moment of development was equipped with the following commercial software activated by the associated batch files.
DATABASE.BAT | dBASE IV, BORLAND |
TESTO.BAT | WordPerfect 5.1 |
STATPACK.BAT | Statgraphics |
FOGLIO.BAT | Lotus 123 Ver. 3.1. |
ANTIVIRUS.BAT | Norton Antivirus |
DISEGNO.BAT | Harvard Graphics Rel. 2. |
In order to use any commercial software in the place of that listed above, the users must edit the associated batch files by replacing the directory name and the startup name of the software.
Throughout the development phase, the above strategy was considered as the best way to maintain a rigid cohesion of the system with the flexibility to use different applications and commercial software.
In this section the various options and associated costs for follow up of the development and improvement of Sipal after the disengagement of FAO are discussed. Two scenarios are presented in which the tasks as well as the running charges of the country/institution that will host the network are considered.
As far as the continuation of Sipal is concerned, it is worth mentioning that the First Regional Round Table on Sipal organized by Aquila II Project recommended the formulation of a Regional TCP (Technical Cooperation Program) Project to support the dissemination and expansion of Sipal in the Region during its first year of independent life.
In this first scenario, required resources to be made available by the National Center that will host the regional center are considered. In this option, the present structure of Sipal with the five countries involved in the development of the network (Chile, Colombia, Cuba, Mexico and Trinidad & Tobago).
The functioning of such a Regional Center will consist of a series of activities to be carried out systematically at a given time interval, as follows:
Collection of the data sent by the five countries on magnetic media on a monthly basis.
Collating the data and recompilation into the Regional Module using established routines.
Preparation of multiple copies of the updated Regional Module and forwarding it to the five countries.
Some additional tasks such as must also be foreseen:
Quick response to requests coming from the participating countries on data resident on remote databases (Globefish for instance).
Immediate response to technical assistance to participating countries for problems concerning the functioning and maintenance of the system.
Immediate response to other countries in the Region which may intend to join Sipal, despatch of a complete package of the system and provision of any assistance they may require.
In support to the last two tasks the organization of a regional Seminar and the preparation of a Demo to be distributed to all countries in the Region was considered.
For the above implications the following annual resources must be considered:
2 man/months of a Senior Officer.
4 man/months of an executive secretary or a Junior Officer.
The costs associated to the physical location and the logistics of the system that should include electricity, an office and its maintenance should also be taken into consideration. These costs should be covered by the hosting department which also manages the national center, and should include some additional occasional costs for computer expertise (1 man/month) to maintain Sipal.
A summarization is given in the following table.
Scenario 1: costs per year | ||
Item | US$ | |
• | Personnel1 | 8,700 |
• | Office2 | 2,000 |
• | Data dissemination3 | 1,000 |
• | Communication (telephone and fax) | 2,000 |
• | Seminar4 | 300 |
• | Preparation of a demo5 | 300 |
TOTAL | 14,300 |
5 Costs to cover consumable items and distribution.
It was agreed that transferring the Regional Center to a national institution would also imply the transfer of all the computer equipment and the associated software of Aquila II used for Sipal (estimated cost US$10,000) as well as of all the available technical documentation produced. At the same time FAO, according to its resources, will ensure the necessary technical assistance for those problems that may occur at the regional center.
The costs considered under this sections are those that Sipal will require once a significant number of other countries in Latin America and the Caribbean join the network and the national coordinators are appropriately trained. It is hoped that this situation be achieved as soon as possible and through a regional cooperation program. Therefore, this scenario might be considered to be mature by the end of 1995. In this situation, the routine monthly work to be carried out is more or less the same as described in the previous section (scenario 1) but of course serving a higher number of users.
As a consequence, the requirements in terms of Human and other resources has to be re-considered accordingly. Specifically:
4 man/months of a senior.
7 man/months of an executive secretary or a juior officer.
At the same time, there will be a reduction in the occasional costs mainly due to promotion and installation of the system, which at mat time should have been completed and carried out under the TCP. The costs given in the next table are considered as the running costs of the system not connected to the network and without any further development.
Scenario 2: costs per year | ||
Item | US$ | |
• | Personnel1 | 15,900 |
• | Office2 | 3,000 |
• | Data dissemination3 | 1,300 |
• | Communications | 3,000 |
TOTAL | 23,200 |
In the case that the countries participating in Sipal wish to structure the system into a network to have the information material distributed through electronic mail, an additional financial resource of some US$10,000 must be envisaged. This amount will cover the software for and programming of the interface between Sipal and the electronic mail (US$3,500) and the connection to the network carrier of the countries involved(US$6,50Q). It must be emphasized that this cost is a fixed one whose breakdown between the countries must be estimated. However it will result in a high improvement of the system in terms of data/information transmission against a small amount of annual fees for using the, network carrier which also produces a drastic reduction in telephone, fax and postal fees.
Chile
Instituto de Fomento Pesquero, IFOP
Av. José Domingo Cañas 2277
Santiago de Chile
Tel: (+562)2256325
Fax: (+562)2254632
Av. Portales 1540
Puerto Montt, Chile
Tel: (+5665)259995,250085
Fax: (+5665)259995
Colombia
Instituto Nacional de Pesca y Acuicultura, INPA
Diagonal 27 No. 15-09
Santafé de Bogotá, Colombia
Tel: (+571) 2879190,2879309
Fax: (+571)2876107
Cuba
Ministerio de la Industria Pesquera
5ta. y 248, Barlovento, Santa Fe
Municipio Playa, La Habana, Cuba
Tel: (+537) 227586, 227514
México
Instituto Nacional de Pesca, INP
Calle Chilpancingo No. 70
Col. Condesa
06170 México, D.F.
Tel: (+525) 2111141,2563645
Fax: (+525)2861149
Dirección General de Acuacultura, DGA
Privada de Trini No. 10
Col. San Jerónimo Lídice
10200 México, D.F.
Tel: (+525) 6837022, 6837476,6830541
Fax: (+525)5952704
Trinidad & Tobago
Ministry of Agriculture and Marine Resources
St. Clair Circle
Port of Spain, Trinidad & Tobago
Tel: (+1809) 6258757, 6255332
Fax: (+1809)6258761
FAO-GCP/RLA/102/lTA
Aquila II Project
Privada de Trini No. 10
Col. San Jerónimo Lídice
10200 México, D.F.
Tel: (+525) 6837022 Ext. 102, 6817866
Fax: (+525)6817866
FAO Headquarters
Fisheries Department
Via delle Terme di Caracalla
00100 Roma, Italia
Tel: (+396)52253034
Fax: (+396)52253020
Following the principle of high interaction with the primary users, the contents of the databases will be decided based on the following methodology.
The DB Matrix presented at the end of this section has been created to explain and guide the approach to be followed for the database definition process in Sipal. The reason the DB Matrix was de-fined and its use encouraged was to assist in the definition of the size and structure of the databases to be included in Sipal in conformity with what was agreed at the conceptual level:
«[…] The first qualifying characteristic of the proposed system is the basic role of the end user in its design and implementation. It is emphasized that the system will be mainly designed by the users themselves, based on their concrete needs […], countries will not be burdened with requests for additional Data Collection Operations to feed this System […] Only data of common interest to Aquaculture in the Region, of non-confidential nature […] will be entered in the system […t]»
The DB Matrix will contain 13 columns containing the following:
1 | List of proposed data items for the database under discussion; this will be drawn up according to available literature. |
2 | FAO base structure of similar databases proposed as a starting point |
3 to 5 | Remarks (ticks) showing whether the country collects the specific variable and its status (see DB Matrix Data Status Codes). |
6 | Unit of measurement. |
7 | Type of variable. |
8 | Range of the variable, in characters or digits according to the type. |
9 | Frequency of updating in the country. |
10 | Database structure automatically built (according solely to X, (+), (?), (N), (Y), etc…). |
11 | Adjusted structure based on various considerations closest to SIPAL concepts. |
12 | Final structure that such database should have. |
The size and structure of the databases should, by definition, be located between the country and FAO (global) reporting systems. In other words, the databases should not have the same detail as the country systems (coverage, frequency, items, etc…), but should contain data that is more desegregated than that in the FAO Yearbooks and Bulletins.
Proceed data item by data item and therefore country by country.
Use X when the data item in the row is regularly collected in the country and can be made available to the system.
Add under the data items column any other data items that are not listed but are regularly collected in the country and available to the system; of course insert X as appropriate.
Mark with (+) data items that are not collected at present, but which could certainly be made available to the system.
Mark with (?) data items that are not collected at present, and which could or could not be made available to the system.
Mark with (N) data items that regardless of whether they are presently collected or not will not be made available to the system.
Mark with (C) data items that although collected are considered confidential, and therefore not distributed.
Decide on which database is to be discussed.
Fill data items column (column 1) with all the possible variables (fields) that such a database should contain.
Fill, whenever applicable, column 2 by listing (using ticks) all data items available in the same FAO database.
Write in the appropriate box in column 3 the name of the country, analyze all the listed data items and mark the country status for each item. If one or more data item is collected in that country, add its name to the list in column 1.
Same as above for all the countries.
At the end of this round, column 10 “Auto structure” will be completed and used as a starting point for a more detailed evaluation. Data items contained in this column represent the data existing and available in the Region — practically a census — for the considered countries. It is clear and intuitive that other FAO users may benefit from this exercise.
At this point the data administrator assisted by sector experts will eliminate certain data items that may appear of non-regional interest; some countries may be asked to make an effort to convert one or more (?) into X, and propose further alterations if necessary. The output of this exercise will produce the structure as proposed in column 11.
At this point the System Analyst-Programmer will review the proposed database structure by including a few fields for data processing needs, changing characteristics of other data items for consistency reasons, and making other technical modifications, as necessary.
The resulting list of data items will represent the typical record structure to be used to develop the database. It will be associated with all the necessary structural characteristics, data definitions, referential linkages, etc…, and, after approval by the System Manager, will be submitted for development
The task of the System Analyst-Programmer will now be to program the standard DBMS to produce that application by taking into account the following:
prepare the Application's Reference Manual;
develop one version of the same software for national use (National Module) containing all the typical data entry, data retrieval, configuration, help/info, data downloading procedures;
develop one version of the same software for regional use (Regional Module) containing all the typical data retrieval, configuration, help/info procedures.
DB Matrix
TYPE OF DATA/COUNTRY | DATABASE NAME | |||||||||||
Database | FAO Database | Country 1 | Country 2 | Country n | Unit | Variable type | Variable rank | Updating frequency | Auto structure | Proposed structure | Final structure | |
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
Country data: | |
Country: | Mexico |
Institution: | FAO, Aquila II Project |
Address: | Cerrada de Trini 10, Col. San Jerónimo Lídice, 10200 México, D.F. |
Telephone: | Direct: (+525) 6817866 - 6837127 Ext. 102 |
Fax: | 6817866 |
E-Mail: | [email protected] |
Responsible: | Enrico Varsi |
Developer: | José Martínez Santamaría |
Revision date: | July 1994 |
Database Name: | Importers Directory |
Description: | List of import companies, including company's data and a summary of the distributed products. |
Database: | IMPORT.DBF Database of importers. | |||
Name | Type | Len | Dec | Description |
INTERNAL | C | 20 | 0 | Internal identification number |
CLAVE | C | 10 | 0 | Key assigned to the importer (consecutive) |
FENTRY | D | 8 | 0 | Date of first data entry |
FUPDATE | D | 8 | 0 | Date of last updating |
SECTOR | C | 1 | 0 | Imorter's sector code ==> SECTOR.DBF -> key |
ESPECIALI | C | 2 | 0 | Importer's specialization code ==> ESPECIAL.DBF -> key |
NOMBRE | C | 80 | 0 | Name of the importer |
CALLE | C | 40 | 0 | Street |
CIUDAD | C | 40 | 0 | City or town |
ESTADO | C | 2 | 0 | State code ==> ESTADO.DBF -> key |
PAIS | C | 3 | 0 | Country code ==> PAIS.DBF -> key |
ZIP | C | 10 | 0 | ZIP code |
TELEFON01 | C | 12 | 0 | Telephone number 1 |
TELEFON02 | C | 12 | 0 | Telephone number 2 |
FAX | C | 12 | 0 | Fax number |
TELEX | C | 12 | 0 | Telex number |
TELEGRAFO | C | 12 | 0 | Telegraph address |
COMENTARIO | M | 10 | 0 | Remarks (free format) |
BIN1 | L | 1 | 0 | Logical field 1 for internal use only |
SELECT | L | 1 | 0 | Flag field for selection |
COUNT | N | 5 | 0 | Count field for internal use only |
SIGNATURE | C | 2 | 0 | Lock field for use in multiusers environment |
Associated indexes | ||
Index file | Key unique or not? | Index expression |
IMPORT1.NTX: | => Field -> internal | |
IMPORT10.NTX: | => ft_xtoy(Field->Select,“C”) | |
IMPORT2.NTX: | => Field -> clave | |
IMPORT3.NTX: | => dtos(field -> fentry) | |
IMPORT4.NTX: | -> Field -> especiali | |
IMPORT5.NTX: | => Field -> sector | |
IMPORT6.NTX: | => Field -> nombre | |
IMPORT7.NTX: | => Field -> estado + Field -> pais | |
IMPORT8.NTX: | => Field -> zip | |
IMPORT9.NTX: | => Field -> telefono1 |
Database: PRODTR.DBF Master database. | ||||
Name | Type | Len | Dec | Description |
INTERNAL | C | 20 | 0 | Internal identification number |
CCATEGORIA | C | 2 | 0 | Product category code ==>CATEGO.DBF ->key |
CSECTOR | C | 1 | 0 | Sector code =>SECTOR.DBF ->key |
CPRODUCTO | C | 5 | 0 | Product code =>PRODUCT.DBF ->key |
CIMPORT | C | 10 | 0 | Importer code =>IMPORT.DBF ->key |
CESPECIALI | C | 2 | 0 | Importer's specialization code ==>ESPECIAL.DBF ->key |
PAIS | C | 3 | 0 | Code of the concerned country/national station => PAIS.DBF->key |
SELECT | L | 1 | 0 | Rag field for selection |
COUNT | N | 5 | 0 | Count field for internal use only |
SIGNATURE | C | 2 | 0 | Lock field for use in multiusers environment |
Associated indexes | ||
Index file | Key unique or not? | Index expression |
PRODTR1.NTX: | =>Field ->internal | |
PRODTR10.NTX: | =>Field ->clmport + Field->cproducto | |
PRODTR2.NTX: | =>Field ->ccategoria | |
PRODTR3.NTX: | =>Field ->csector | |
PRODTR4.NTX: | =>Field ->cproducto | |
PRODTR5.NTX: | =>Field ->cimport | |
PRODTR6.NTX: | =>Field ->cespeciali | |
PRODTR7.NTX: | =>Field ->pais | |
PRODTR8.NTX: | =>Field ->cpais | |
PRODTR9.NTX: | =>ft_xtoy(Field->Select.“C”) |
Reference database PRODUC.DBF Type of product | ||||
Name | Type | Len | Dec | Description |
INTERNAL | C | 20 | 0 | Internal identification number |
CLAVE | C | 5 | 0 | Product identification key (consecutive) |
NOMBRE | C | 40 | 0 | Product name |
CATEGORIA | C | 2 | 0 | Product category key ==>CATEGO.DBF ->key |
PAIS | C | 3 | 0 | Country of origin key ==>PAIS.DBF ->key |
SELECT | L | 1 | 0 | Flag field for selection |
COUNT | N | 5 | 0 | Count field for internal use only |
SIGNATURE | C | 2 | 0 | Lock field for use in multiusers environment |
Associated indexes | ||
Index file | Key unique or not? | Index expression |
PRODUC1.NTX: | =>Field ->internal | |
PRODUC2.NTX: | =>Field ->clave | |
PRODUC3.NTX: | =>Field ->nombre | |
PRODUC4.NTX: | =>Field ->categoria | |
PRODUC5.NTX: | =>Field ->pais | |
PRODUC6.NTX: | =>ft_xtoy(Field ->Select.“C”) |
Reference database ESTADO.DBF States reference file. | ||||
Name | Type | Len | Dec | Description |
INTERNAL | C | 20 | 0 | Internal identification number |
CLAVE | C | 2 | 0 | State identification key (consecutive) |
NOMBRE | C | 30 | 0 | State name |
SELECT | L | 1 | 0 | Rag field for selection |
COUNT | N | 5 | 0 | Count field for internal use only |
SIGNATURE | C | 20 | 0 | Lock field for use in multiusers environment |
Associated indexes | ||
Index file | Key unique or not? | Index expression |
ESTAD01.NTX: | =>Field ->internal | |
ESTAD02.NTX: | =>Field ->clave | |
ESTAD03.NTX: | =>Field ->nombre |
Reference database PAIS.DBF Countries regional reference file. | ||||
Name | Type | Len | Dec | Description |
INTERNAL | C | 20 | 0 | Internal identification number |
CLAVE | C | 3 | 0 | Country identification key (consecutive) |
NOMBRE | C | 30 | 0 | Country name |
SELECT | L | 1 | 0 | Flag field for selection |
COUNT | N | 5 | 0 | Count field for internal use only |
SIGNATURE | C | 20 | 0 | Lock field for use in multiusers environment |
Associated indexes | ||
Index file | Key unique or not? | Index expression |
PAIS1.NTX: | => Field -> internal | |
PAIS2.NTX: | => Field -> clave | |
PAIS3.NTX: | => Field -> nombre |
Reference database SECTOR DBF Sectors regional reference file. | ||||
Name | Type | Len | Dec | Description |
INTERNAL | C | 20 | 0 | Internal identification number |
CLAVE | C | 1 | 0 | Sector identification key (consecutive) |
NOMBRE | C | 25 | 0 | Sector name |
SELECT | L | 1 | 0 | Flag field for selection |
COUNT | N | 5 | 0 | Count field for internal use only |
SIGNATURE | C | 20 | 0 | Lock field for use in multiusers environment |
Associated indexes | ||
Index file | Key unique or not? | Index expression |
SECTOR1.NTX: | => Field -> internal | |
SECTOR2.NTX: | => Field -> clave | |
SECTOR3.NTX: | => Field -> nombre |
Reference database ESPECIAL.DBF Specializations regional reference file. | ||||
Name | Type | Len | Dec | Description |
INTERNAL | C | 20 | 0 | Internal identification number |
CLAVE | C | 2 | 0 | Specialization identification key (consecutive) |
NOMBRE | C | 31 | 0 | Specialization name |
SELECT | L | 1 | 0 | Flag field for selection |
COUNT | N | 5 | 0 | Count field for internal use only |
SIGNATURE | C | 20 | 0 | Lock field for use in multiusers environment |
Associated indexes | ||
Index file | Key unique or not? | Index expression |
ESPECIA1.NTX: | => Field -> internal | |
ESPECIA2.NTX: | => Field -> clave | |
ESPECIA3.NTX: | => Field -> nombre |
Reference database CATEGO.DBF Products categories regional reference file. | ||||
Name | Type | Len | Dec | Description |
INTERNAL | C | 20 | 0 | Internal identification number |
CLAVE | C | 2 | 0 | Product category identification key (consecutive) |
NOMBRE | C | 30 | 0 | Product category name |
SELECT | L | 1 | 0 | Flag field for selection |
COUNT | N | 5 | 0 | Count field for internal use only |
SIGNATURE | C | 20 | 0 | Lock field for use in multiusers environment |
Associated indexes | ||
Index file | Key unique or not? | Index expression |
CATEG01.NTX: | => Field -> internal | |
CATEG02.NTX: | => Field -> clave | |
CATEG03.NTX: | => Field -> nombre |
Reference database TABLES.DBF Subtables internal reference file. | ||||
Name | Type | Len | Dec | Description |
INTERNAL | C | 20 | 0 | Internal identification number |
TABLETYPE | C | 15 | 0 | Sub table type |
ENTRYSRCE | C | 35 | 0 | Entry type |
RESOLVES | C | 20 | 0 | Resolves |
PRODUCT | C | 20 | 0 | Product |
PRODPRICE | N | 15 | 2 | Product type |
TIMELIMIT | N | 4 | 0 | Time limit |
PEOPLE | C | 50 | 0 | Personnel |
PEOPLELEV | N | 2 | 0 | Personnel level |
PASSWORDS | C | 20 | 0 | Entry keys |
ROUTINE | C | 10 | 0 | Routine |
PROCLEVEL | N | 2 | 0 | Program level |
PAYMENT | C | 20 | 0 | Payments |
BINARY | L | 1 | 0 | Binary field for internal control |
COST | N | 6 | 2 | Cost |
SIGNATURE | N | 10 | 0 | Lock field for use in multiusers environment |
Associated indexes | ||
Index file | Key unique or not? | Index expression |
TABLES1.NTX: | => Tables -> internal | |
TABLES2.NTX: | => Tables -> tabletype | |
TABLES3.NTX: | => Tables -> people | |
TABLES4.NTX: | => Tables -> routine |
Database: | MASTER.DBF System tables master database. | |||
Name | Type | Len | Dec | Description |
KEY | C | 10 | 0 | Name of the table to be controlled |
INTERNAL | C | 20 | 0 | Internal identification number |
LASTLOOK | C | 20 | 0 | Last consecutive number assigned |
CRITICAL | C | 20 | 0 | Order number of the critical fields |
Database: | QFILTRO.DBF Filters database | |||
Name | Type | Len | Dec | Description |
INTERNAL | C | 20 | 0 | Internal identification number |
CLAVE | C | 10 | 0 | Filter identification key (consecutive) |
GRUPO | C | 12 | 0 | Filter group |
NOMBRE | C | 100 | 0 | Filter name |
VISUALIZA | M | 10 | 0 | Expression visualized for filter build-up |
FILTRO | C | 254 | 0 | Real fitter's expression |
COUNT | N | 5 | 0 | Rag field for selection |
SELECT | L | 1 | 0 | Count field for internal use only |
SIGNATURE | C | 10 | 0 | Lock field for use in multiusers environment |
Associated indexes | ||
Index file | Key unique or not? | Index expression |
QFILTR01.NTX: | => Field -> internal | |
QFILTR02.NTX: | => Field -> clave | |
QFILTR03.NTX: | => upper(Field -> grupo + Field -> nombre) | |
QFILTR04.NTX: | => upper(Field -> nombre) |
Reference database QOPERADO.DBF Filters operators reference database. | ||||
Name | Type | Len | Dec | Description |
INTERNAL | C | 20 | 0 | Internal identification number |
CLAVE | C | 10 | 0 | Operador identification key (consecutive) |
OPERADOR | C | 10 | 0 | Operator |
NOMBRE | C | 30 | 0 | Spanish name of the operator |
TIPO | C | 5 | 0 | Type of expression applied to the operator C, N, D, L |
SELECT | L | 1 | 0 | Flag field for selection |
COUNT | N | 5 | 0 | Count field for internal use only |
SIGNATURE | C | 20 | 0 | Lock field for use in multiusers environment |
Associated indexes | ||
Index file | Key unique or not? | Index expression |
QOPERA1.NTX: | => Field -> internal | |
QOPERA2.NTX: | => FIeld -> clave | |
QOPERA3.NTX: | => Field -> nombre | |
QOPERA4.NTX: | => Field -> tipo |
Reference database QFIELDS.DBF | Internal reference database of the fields wich may form part of the filters. | |||||
Name | Type | Len | Dec | Description | ||
INTERNAL | C | 20 | 0 | Internal identification number | ||
CLAVE | C | 10 | 0 | Field identification number (consecutive) | ||
GRUPO | C | 12 | 0 | Field group | ||
BASEMAIN | C | 12 | 0 | Main database (origin) | ||
BASEREF | C | 12 | 0 | Reference database | ||
FLDVIEW | C | 250 | 0 | Expression which visualizes the filter (format,) | ||
FLORET | C | 100 | 0 | Expression returned | ||
FLDMAIN | C | 30 | 0 | Main field | ||
BASERDESC | C | 100 | 0 | Database description, in Spanish | ||
FLDDESC | C | 100 | 0 | Field description, in Spanish | ||
SELECT | L | 1 | 0 | Flag field for selection | ||
COUNT | N | 5 | 0 | Count field for internal use only | ||
SIGNATURE | C | 20 | 0 | Lock field for use in multiusers environment |
Associated indexes | ||
Index file | Key unique or not? | Index expression |
QFIELD1.NTX: | => Field -> internal | |
QFIELD2.NTX: | => Field -> clave | |
QFIELD3.NTX: | => Field -> grupo | |
QFIELD4.NTX: | => Field -> flddesc |
Database: | REPORTE.DBF | Reports definition database. | ||
Name | Type | Len | Dec | Description |
INTERNAL | C | 20 | 0 | Internal identification number |
CLAVE | C | 10 | 0 | Field identification number (consecutive) |
RLGRUPO | C | 12 | 0 | Report group |
NOMBRE | C | 100 | 0 | Report name |
Rl_LIBRARY | C | 12 | 0 | Repot definition file name (*.RH1) |
RI_FUNCION | C | 100 | 0 | Report definition function |
RI_TEXTUBL | C | 100 | 0 | User's text block |
RI_MASTER | C | 12 | 0 | Report master database |
RI_MINDEX | C | 12 | 0 | Report master index |
RI_PRINTER | C | 1 | 0 | Is a printer used? |
BPRINTER | C | 40 | 0 | Printer name |
RI_OUTFILE | C | 12 | 0 | Output file name |
RI_OUTAPPN | L | 1 | 0 | Overwriting (Y/N) |
RI_BEGPAGE | N | 3 | 0 | Report starting page |
RI_ENDPAGE | N | 3 | 0 | Report last page |
RI_SCOPE | C | 100 | 0 | Scope of report (high) |
RI_LOSCOPE | C | 100 | 0 | Scope of report (low) |
RI_COPIES | N | 3 | 0 | Number of copies to be printed |
RI_QUERY | C | 1 | 0 | Is a filter used? |
Rl_FILTER | C | 254 | 0 | Filter to be used |
RI_MEMO | M | 10 | 0 | Report additional field |
RI_STATUS | L | 1 | 0 | Status |
RI_ALIAS | C | 100 | 0 | Alias |
SELECT | L | 1 | 0 | Flag field for selection |
COUNT | N | 5 | 0 | Count field for internal use only |
SIGNATURE | C | 20 | 0 | Lock field for use in multiusers environment |
Associated indexes | ||
Index file | Key unique or not? | Index expression |
REPORTE1.NTX: | => FIeld -> internal | |
REPORTE2.NTX: | => Field -> clave | |
REPORTE3.NTX: | => upper(Field -> RI_grupo+ Field -> nombre) |
Database: | PRINTERS.DBF | Database of printers and relevant init strings. | ||
Name | Type | Len | Dec | Description |
PR_NAME | C | 40 | 0 | Printer name |
PR_SETUP | C | 80 | 0 | Standard init string |
PR_RESET | C | 80 | 0 | Standard reset string |
PR_6LPI | C | 80 | 0 | 6 lpi standard control string |
PR_8LPI | C | 80 | 0 | 8 lpi standard control string |
PR_10CPI | C | 80 | 0 | 10 lpi standard control string |
PR_12CPI | C | 80 | 0 | 12 lpi standard control string |
PR_COMPR | C | 80 | 0 | Compressed mode control string |
PR_PORT | C | 80 | 0 | Printer port control string |
PR_LAND | C | 80 | 0 | Orientation control string |
PR_BDON | C | 80 | 0 | Bold on control string |
PR_BDOFF | C | 80 | 0 | Bold off control string |
PR_ULON | C | 80 | 0 | Underline on control string |
PR_ULOFF | C | 80 | 0 | Underline off control string |
PR_ITON | C | 80 | 0 | Italics on control string |
PR_ITOFF | C | 80 | 0 | Italics off control string |
Associated indexes | ||
Index file | Key unique or not? | Index expression |
PRINTERS.NTX: | => Upper(Printers-> Pr_name) |
The Aquadab database allows the user to store information about animal species bred with aquaculture techniques. Aquadab should be of interest to researchers and farmers who want to store and retrieve, in a standard and concise format, basic information on research and trials on cultivated species. Aquadab has also been developed to encourage aquaculture researchers to record basic aquaculture information in a format which can easily be accessible to other scientists. The Aquadab manual provides the basic information required to install, run and use Aquadab . It also describes the general structure of the database, the information contained in its records and all software menu commands and function keys. The Aquadab software runs on IBM PC compatible computers and has no special memory or hard disk requirements. The software is distributed in a single 1.44 MB diskette.
The system provides users with access to Aquaculture data in the form of computer records containing time series of annual production and value. Time series are organized by producing country, species, and major statistical area, as these appear in the Aquaculture Circular produced each year by the FAO Fisheries Department. The system allows for flexible selection of databases and the formulation of sub-sets of time series by means of multiple selection and extraction criteria.
Also available are transformation and computation functions, exportation of data to spreadsheets, and graphical presentations of time series in both display and print formats.
FAO Fisheries Bibliographic Reference Database.
PC-Costab is the PC-Compass module for project costing.
It was developed jointly by the World Bank and the FAO Investment Center, Rome, in the aim of providing project analysts with an useful tool.
PC-Costab performs the following tasks:
Costben is the PC-Compass module for the cost benefit analysis. It was developed at the World Bank. Through this software you may:
Costben thus provides the basic building blocks for defining any model.
The Fishery Policy and Planning Databank (Fippdat) is a databank and software developed by FIPP which provides an access to information required for fisheries planning and management at the country level. It contains statistical information on a number of production and socio-economic aspects of fisheries in time series, by country, and by statistical area. The database covers 242 countries in five areas: Africa, the Americas, Asia, Europe and Oceania. It draws upon data sources available with various UN and FAO databases as well as data compiled from national statistical reports, field studies and other documents covering the following:
The system provides users with access to global catches in the form of computer records containing time series of annual production. Time series are organized by fishing country (flag of fishing vessel), species, and major statistical area, as these appear in the Yearbook of Fishery Statistics of Catches and Landings. The system allows for flexible selection of databases and the formulation of sub-sets of time series by means of multiple selection and extraction criteria. Also available are transformation and computation functions, exportation of data to spreadsheets, and graphical presentations of time series in both display and print formats.
The Globefish data bank covers information on fish marketing in a broad sense, including:
The data bank comprises articles from newspapers, specialized magazines, correspondents' reports, etc… It also holds statistics on the major commodities of importance, such as tuna, shrimp, cephalopods, etc… Some 25,000 news items and statistics are presently stored.
Listal is the database concerning Experts and Professionals in the field of Aquaculture. Information registered are organized by geographical area and by country, by name and by specialty. Through a menu driven selection, the user can browse, print or save in a file records concerning retrieved experts data selected by country, by name, or by specialty. The information contained in Listal have been collected in the Fisheries Department of FAO through questionnaires distributed to all the national fisheries and aquaculture departments in the Region.
The State of Food and Agriculture is FAO's annual report on recent developments affecting world agriculture. In addiction to presenting facts and figures on the global agriculture situation and a review of the economic environment surrounding agriculture, every years analyses the economic and the agriculture implication of specific events in various countries. The regional review analyses trends and issues of importance to agriculture in different regions highlighting the situations in some developing countries, developed countries, EC and OECD countries.
An explained set of time series data is presented on diskette in English, French and Spanish: Time Series for SOFA includes agriculture, forestry and fishery data for about 150 countries, country groups and regions. The Faostat TS software offers easy display and analysis.
The information compiled by FAO's Species Identification and Data Program were computerized in a database that forms a global inventory of commercially important species. Speciesdab is the name given to this database and the associated computer software that manipulates the data. Speciesdab was created to offer quick and easy access to the fisheries and biological information in the FAO Species Identification Sheets and World Catalogues. Speciesdab represents FAO's standard authority on nomenclature and identity of aquatic species used by man. It constitutes a global framework for continuous storage and updating of information and for the exchange of data between FAO and fisheries institutions of Member Countries.
Data on scientific and vernacular nomenclature, biology, fishing gears, and geographical distribution are included for species which belong to certain marine resource groups. To date, some 25 major resource groups are covered. Among these are shrimps, lobsters, cephalopods, sharks, marine turtles, and 22 families of bony fishes, which together form a significant component of world fisheries. In addition, information is included for many of the species listed in FAO's Yearbook of Fisheries Statistics.
Application program. Computer program that performs an end-user function, rather than a system-oriented function.
ASCII files. Files in which the individual characters are represented according to a numerical code (and its internal representation as a binary number) mat conforms to the American Standard Code for Information Interchange. Such files are widely used to transfer data between different hardware and software environments. ASCII was created for this purpose.
Backup. The process of making secondary copies of a file or files in the event that the original becomes damaged.
Bernoulli Disk. Mass storage device on floppy disks that rivals Hard Disk for capacity and speed. The Bernoulli Box which uses replaceable 8-inch or 5.25" floppy disks was first introduced by IOMEGA in the early 1980's.
Configuration. The equipment (disk, diskette, terminal, printers, etc.) which makes up a particular system.
CD-ROM. Is a computer peripheral device which employs Compact Disk technology to store large amounts of data for late retrieval. This technology was first introduced by Philips and Sony in 1983. A CD-ROM disk can store up to 650 MBytes of data.
Computer network. An interconnection of computer systems, terminals, and communication facilities
Data. Known facts, numbers, letters and symbols for storage and manipulation by a computer system expressed in character form. Data can be thought of as the basic elements of information used, created or otherwise processed by an application program.
Data communication. The movement of coded data from a sender to a receiver by means of an electrically-transmitted signal.
Data field. A group of memory or screen locations within a database that are logically linked to hold information of a given kind. Typically, the user may regard data fields as a place to store a certain kind of data.
Database. System of arranging data in a structured way in a computer system, for user access or for processing by application programs.
Data set. A series of data elements or units of information that are logically arranged in a particular format.
Data sheet. A printed page on which data are arranged according to a specific format
Directory structure. All files store in a computer disk are arranged in tree-structured directories. The main directory on a disk is called Root, and it can contain files and/or other directories (sub-directories).
DOS. The acronym for Disk Operating System, the program used in the microcomputer environment to control the use of hardware and integrate the use of this hardware so that is available to software applications.
Down-loading. Data/Information transfer from a central level system (Organization HQ) to peripheral systems (Departments)
Driver. A software program that controls the action of a peripheral device not otherwise controlled by the operating system.
Export. The transport of data out of an application. Typically, this will involve translation from the internal format of the application to a variety of alternate formats that may be used by other programs as input (see also Import)
File. A collection of logically related records or data treated as a single item.
Format The way in which data are physically arranged in a file.
Hardware. A term used to indicate the physical part of a computer, such as the keyboard, memory, printer, monitor, as opposed to the software.
Export. The transport of data into an application. Typically, this will involve translation from the format of the external application into the standard used by the ongoing application.
Information. Data that are communicated
Interface (Hardware). An electronic assembly to enable two computer systems to communicate with each other (wired).
Interface (Software). Series of programs that allow the system to exchange data from one format to another.
Main Menu. A horizontal bar that presents the user with a series of choices, one of which will be selected to perform that activity.
Menu System. A kind of program design that uses a sequence of choices that permits the user to choose among them by pressing a key (usually the Enter Key). These choices are arranged on the screen much as a restaurant menu presents a series of selections.
Operating System. The software program that controls the various parts of a computer (keyboard, screen, hard drive, printer, etc.) and puts them to work together to perform useful work. Sipal will work on computers which use the PC-DOS or MS-DOS operating system.
Non-rigid connection. A type of manual file transfer between computer systems through removable supports (diskette, tape) occasionally carried out.
Package. A set of computer programs tied together through a menu system.
Platform. A computer, its peripheral devices and activities working together.
Procedure. A specific program or task to which a computer solution can be applied
Record. A collection of related data items.
Reference Files. Authority files containing reference variables such as country codes, names and attributes; item codes, names, attributes etc.
Relational Database. A file or system of files used to contain data that is structured to permit the data to be readily input and output. When constructed of multiple files, relations between individual data fields in the different files can be linked to permit data in one field of one file to act as a means of retrieving information in one or more data fields in the other file or files.
Rigid connection. Type of connection in which a group of computer systems are connected to each other by communication lines to allow automatic and controlled file transfer at regular intervals.
Software. Computer algorithms (programs) that are written in a computer language that make the computer (hardware) perform work (write to the screen, print, sort, etc.).
Up-loading. Data/Information transfer from peripheral systems to a central system.