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Input/output considerations for large data bases
Journal of Chemical Information and Computer Sciences
|February 1, 1975
Summary
This study explores input/output devices and programming strategies for managing data quality and user information needs within large databases. It focuses on error detection, correction, and efficient data output generation.
Area of Science:
- Computer Science
- Information Science
- Data Management
Background:
- Effective data handling is crucial for large databases.
- User information requirements drive system design.
- Input/output processes are fundamental to data systems.
Purpose of the Study:
- To discuss input/output devices and format designs.
- To explore programming for input validation and correction.
- To examine output generation strategies for user needs.
Main Methods:
- Review of input/output device functionalities.
- Analysis of data format designs for error handling.
- Examination of programming techniques for data manipulation.
- Consideration of large database architectures.
- Evaluation of user information requirements.
Main Results:
- Defective input can be rejected through specific programming.
- Input data can be updated and corrected efficiently.
- Diverse outputs can be generated from input data.
- System design must balance data integrity with user accessibility.
Conclusions:
- Optimized input/output processes are essential for large databases.
- Programming plays a key role in ensuring data quality.
- Meeting user information needs requires flexible data output formats.