A Taxonomy-Based Digital Platform Evaluation Model for Air Quality Data Management (Short Paper)

Publisher:
IEEE
Publication Type:
Conference Proceeding
Citation:
2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE), 2024, 00, pp. 1863-1867
Issue Date:
2024-04-09
Full metadata record
There is an increasing interest in digital platforms for managing air quality data There are several platforms and the challenge is how to evaluate such platforms for air quality data management This paper proposes a taxonomy based digital platform evaluation model DPEM to assist with assessing such digital data platforms from cost and quality perspectives The DPEM provides a qualitative evaluation criterion which has been developed based on the review of both academic and industry sources The application of the DPEM is demonstrated through its mapping of three well known digital platforms The application results indicate that DPEM is useful for evaluating air quality data platforms However it could be adapted to other contexts and data domains as well
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