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DOI: 10.14569/IJACSA.2022.0130219
PDF

Developing and Validating Instrument for Data Integration Governance Framework

Author 1: Noor Hasliza Mohd Hassan
Author 2: Kamsuriah Ahmad
Author 3: Hasimi Salehuddin

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 2, 2022.

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Abstract: Data integration is one of the important subfields in data management. It allows users to access the same data from multiple sources without redundancy and preserving its integrity. Data Integration Governance Framework (DIGF) is being developed to guide the implementation of data integration. It functions as a reference and guideline for working level in data integration implementation. Hence the instrument used to validate the DIGF needs to be developed and validated for its accuracy, applicability, and suitability of use. The instrument comprises items structured as a questionnaire. This study proposes Lawshe’s technique to construe the content validity of the instrument. This technique involved the arithmetic of the Content Validity Ratio (CVR) to validate items in the questionnaire, which developed based on the factors identified for Data Integration Governance Framework. Each item in the questionnaire that validated based on the minimum CVR value of 0.75 endorsed as the final instrument of Data Integration Governance Framework to be used in Delphi Technique Evaluation.

Keywords: Content validity; instrument development; data integration governance; Lawshe’s technique

Noor Hasliza Mohd Hassan, Kamsuriah Ahmad and Hasimi Salehuddin, “Developing and Validating Instrument for Data Integration Governance Framework” International Journal of Advanced Computer Science and Applications(IJACSA), 13(2), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130219

@article{Hassan2022,
title = {Developing and Validating Instrument for Data Integration Governance Framework},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130219},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130219},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {2},
author = {Noor Hasliza Mohd Hassan and Kamsuriah Ahmad and Hasimi Salehuddin}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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