The Development of a Descriptive Framework for Digital Television News Footage
DOI:
https://doi.org/10.14456/jiskku.2022.17Keywords:
Metadata, Descriptive Framework, Television News FootageAbstract
Purpose: This research aims to develop a descriptive framework for television news footage.
Methodology: Data gathering by observation and interviewing for the television news footage storage and retrieval process from 36 staffs and 19 users of 2 television stations. Then, using IFLA Five Generic User Tasks to analyzes search behavior and user requirements.
The descriptive framework for digital television news footage was developed based on
IFLA Library Reference Model (IFLA-LRM). And the developed framework was evaluated by
6 experts.
Findings: The results of the research found that staff members used 5W1H news writing principles to describe television news footage for support user requirements. And found that 15 major information are used to searching for television news footage. In which the user start searching for television news footage with specific word while the staff searching by specific name, specific search term and border term. The descriptive framework for digital television news footage consists of 8 core elements and 36 sub-elements. The expert evaluation revealed that the developed descriptive framework is suitable for television news footage retrieval. The names of the Thai elements and English elements are clear at a very good level (mean 4.67 and 4.33). The definitions and examples of each element are clear, easy to understand at a good level (mean 4.17). Finally, the developed descriptive framework has adjusted according to the expert’s recommendations, there are 40 elements in total, 9 primary elements and 31 sub-elements.
Applications of this study: The results of the study can be used as a conceptual framework for analyzing bibliographic elements or metadata elements that are useful for describing digital information that can meet the needs of information retrieval according to the user's information search process.
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