Toward Developing Knowledge Grid Model among Big Data Community: Pilot Study
- Resource Type
- Conference
- Authors
- Hosseinioun, Sara; Abdullah, Rusli; Namsehchi, Khashayar; Jusoh, Yusmadi Yah; Jabar, Marzanah
- Source
- 2022 8th International Conference on Information Management (ICIM) ICIM Information Management (ICIM), 2022 8th International Conference on. :56-62 Mar, 2022
- Subject
- Computing and Processing
Instruments
Merging
Big Data
Knowledge management
Data models
Information management
Reliability
Knowledge Grid
Big Data Community
Knowledge Sharing
- Language
Big data users as data scientists join by merging and supporting knowledge management system characteristics as a big data community to help capture and share expertise, experiences, ideas. Thus, their communication and sharing knowledge which includes knowledge transferring and knowledge receiving is fundamental for community existence. Knowledge grid as communication infrastructure can provide a foundation for exchanging huge among of data and information efficiently. This study represents the related literature and defines the variables for developing a knowledge grid model. It explains the process of validity test by using expert review method and reliability test by conducting a pilot study. The test results have been discussed and used for modifying the research instrument for further data collection.