adatkészletkezelési

Adatkészletkezelés is a Hungarian term that translates to "dataset management" in English. It encompasses the processes and strategies involved in organizing, storing, retrieving, and maintaining datasets throughout their lifecycle. Effective adatkészletkezelés is crucial for ensuring data quality, accessibility, and usability for various purposes, including research, analytics, and decision-making.

The core activities of adatkészletkezelés typically include data acquisition, where raw data is collected from various sources. This is followed by data cleaning and preparation, which involves identifying and correcting errors, inconsistencies, and missing values to enhance data accuracy. Data storage involves choosing appropriate methods and systems to house the datasets, considering factors like security, scalability, and cost. Data cataloging and metadata management are essential for making datasets discoverable and understandable, providing context and information about their content, origin, and structure.

Furthermore, adatkészletkezelés involves managing data access and permissions to ensure that only authorized individuals can view or modify specific datasets, upholding data privacy and security. Version control is often implemented to track changes and maintain historical records of datasets. Finally, data archiving and disposal are considered for managing the long-term retention or secure removal of datasets when they are no longer needed. The goal of robust adatkészletkezelés is to maximize the value derived from data while minimizing risks associated with its management.