Major Perspectives of Information Organization

People understand information organization from four main perspectives, viz. data, relationship, operating system, and application architecture.

  1. The data perspective of information organization

In the data perspective, people consider the organization of data in terms of their descriptive and graphical elements. Therefore, the two elements possess distinctive features necessitating different storage requirements as well as storage options. A person thus needs to understand the correct sequence in which entities occur and build up until they eventually form a data file. A data item that falls under descriptive data is one of the most basic elements in the organization of information. It is the smallest unit of storage in a database and it goes by the term ‘stored field’ in the database terminology. It may appear in the form of a number, date, an expression, or character string. A group of related data items forms a record and often appears in the form of different characteristics pertaining to the same entity. A set of related record forms a data file.

The element of relation often occurs in terms of different occurrences of the same type or class of entities, regardless of whether the said entities are people, things, events, or phenomena. A collection of data items of the same type and size goes by the term ‘array’ and it can occur either in one dimension or two. When the organization of data takes the form or arrangement of entries in rows and columns, the final product is a table, which often applies to relational databases. A list, on the other hand, is a finite sequence of data items and it may follow a specific arrangement or lack any sort of order. A tree constitutes yet another form of data arrangement that falls under relational data in which each data item has an attachment to one or more data items and often takes the shape of an inverted tree.

The concept of a database is one that has developed due to the introduction of computers as media for data storage. Essentially, a database and a data file contain very similar information with slight differences. The main differences that set the two apart are the type of information and medium of storage they demand. A data file contains records with the same data type and format description. A database, on the other hand, contains a group of related records organized in one or more data files with similar or different data types or formats. The type of storage for a data file is flexible enough to be manual or digital while that of the database relies strictly on computers.

These differences occur due to the capacity of a computer to process more information at a time than a person does, the ability to process different data files, create a relationship between them, and store the data files within the shortest time possible. The creation of data files often occurs manually, thus limiting the amount of processing that is applicable to a particular data type or format description at any one time. Secondly, the aim for data file processing usually touches on the creation of a particular solution and often stops after the establishment of the solution. Database processing often aims at a myriad of solutions for the different data files, the creation of relations between such data files and sometimes the formulation of predictable variables that aid organizations in the decision-making process. Thirdly, a database often complies with the central control of data in order to ease the redistribution of the same within different departments in an organization. Through computer networking, this characteristic ensures that different departments within an organization receive the same information, depending on the need for such information. Databases are classifiable into relational – table like, network – have pointers linking them to associated files, hierarchical data – tree like relationship, and object-oriented data, which are associated with specific objects.

Graphical data, which is the second organization of information in the data perspective, has its most basic element known as basic graphical element. There exist three basic graphical elements, viz. point, line, and polygon or area. These elements can be employed to represent geographical features as single entities or collectively to form complex geographical features. The use of these basic graphical elements to represent geographical data yields vector data. The vector data is conventionally organized into layers of related themes, which yield entities such as base maps, vegetation, soil, and political boundaries among many others. Several themes of vector data about a specific geographical region constitute the spatial component of a geographical database. This method of representation is based on the object view of the real world.

Graphical data yielded by imaging devices gives another form of graphical data known as raster data. This form of data comes from the representation of geographical data in the form of picture elements (pixels). Thus, raster pixels capture a generalized representation of a given area. This form of data can also be arranged into themes, which eventually give information such as vegetation cover and land use among others. This method of representation is based on the field view of the real world.

  1. The relationship perspective of information organization

Relationships are important in information organization and they can be either categorical or spatial based on what they describe. Categorical relationships are concerned with how individual features in a classification system are linked. Classification follows the concept of scales of measurement of which there are four distinct types, viz. the nominal scale (qualitative, non-ranking, non-numerical), ordinal scale (nominal, with ranking), interval scale (ordinal, with ranking, numerical values based on arbitrary data), and ratio scale (interval scale with numerical values based on absolute data).

Categorical relationships that use measurement scales, which involve ranking, have their data sorted into varying levels of detail. At the highest level of classification, data is broadly classified, but this aspect changes down the classification hierarchy. Descriptive data follows this system of classification. On the other hand, spatial relationships are concerned with how different features in space are linked to one another. In graphical data, one can effortlessly make out spatial relationships, but transferring these graphical spatial relationships into a database remains a challenge. Implicitly capturing spatial relationships into databases is characterized by the need for large storage and slow data computation. Yet spatial relationships are very important in geographical data handling. Thus, the aim of information organization and data structure in this context is to establish ways of handling spatial relationships with the least possible storage or computation thresholds.

  1. Operating system perspective of information organization

In this perspective, information is arranged in the form of directories, which are special computer files that arrange other files into a hierarchy. With reference to systems that employ graphical user interfaces, directories are also known as folders. Directories fall into different levels such as root directories (top most), sub-directory (under another), and parent directory (above another). Usually, files of similar characteristics are placed in one directory such that the path that leads to a file comprises the directory name and the file name. Geographical information systems borrow the same concept, but they refer to it as the workspace. This aspect implies that in geographical information system terms, a workspace is a directory that contains files relating to a given project.

  1. The application architecture perspective of information organization

Today, computer software replicates a client/server system in their architecture. This system denotes a relationship among computers on telecommunication network, or several processes within a single computer. A client thus denotes a process that seeks services from one or many servers simultaneously. A server, on the other hand, is a process that provides the requested services to one or many computers at once. Information systems have many ways by which they can replicate the client/server. However, there are five commonly used ways, viz. database, file, web, groupware, and transaction servers. The aim of information organization from this perspective is to come up with means of easing the transfer of resources between clients and servers. This goal is achievable by ensuring that data is strategically placed at the appropriate location alongside similar data to ease access to the data.

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