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A Web-based Benchmarking System for Health Research Scientists, Case Study - Saudi Arabia

by Tahani Daghistani, Hanan Althagafi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 174 - Number 1
Year of Publication: 2017
Authors: Tahani Daghistani, Hanan Althagafi
10.5120/ijca2017915303

Tahani Daghistani, Hanan Althagafi . A Web-based Benchmarking System for Health Research Scientists, Case Study - Saudi Arabia. International Journal of Computer Applications. 174, 1 ( Sep 2017), 15-20. DOI=10.5120/ijca2017915303

@article{ 10.5120/ijca2017915303,
author = { Tahani Daghistani, Hanan Althagafi },
title = { A Web-based Benchmarking System for Health Research Scientists, Case Study - Saudi Arabia },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2017 },
volume = { 174 },
number = { 1 },
month = { Sep },
year = { 2017 },
issn = { 0975-8887 },
pages = { 15-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume174/number1/28371-2017915303/ },
doi = { 10.5120/ijca2017915303 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:21:00.084307+05:30
%A Tahani Daghistani
%A Hanan Althagafi
%T A Web-based Benchmarking System for Health Research Scientists, Case Study - Saudi Arabia
%J International Journal of Computer Applications
%@ 0975-8887
%V 174
%N 1
%P 15-20
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Objectives: The primary objective is to explore the Research Award System (RAS) experience at King Abdullah International Medical Research Center (KAIMRC) in Saudi Arabia. Methods: A case study method was used to describe a real experience of a research award system (RAS) with multiple data sources collection. Results: RAS is one of the tools used by KAIMRC for attracting and retaining research scientists and improve the overall performance, in line with its vision and strategies. RAS identifies, validates and honor research scientists based on quantitative measures. It covers three groups of research scientists and calculate the final score(FS) for a total of ten (10) criteria and based on the assigned criterion/sub-criterion weight. The Journals Impact Factor (JIF) that required for the calculations, can be imported from outsourcing databases like International Scientific Indexing (ISI) or Scopus. Also, provides each applicant with an estimated final score (FS) instantly. Conclusion: The current case study highlights a unique experience represented in an automated research award system (RAS). RAS automates the process of selecting winners using quantitative criteria and benchmarking approach. Such a system can be utilized at broader levels, to support research institutions or R&D organizations in self-assessment on the level of their belonging research scientists and to develop a large pool of research scientists data required for research programs and initiatives.

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Index Terms

Computer Science
Information Sciences

Keywords

Research Award Web-Based Benchmarking Performance Scoring System Self-Assessment

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