Balkan Peace Index decision EXpert model and data

IF 1 Q3 MULTIDISCIPLINARY SCIENCES Data in Brief Pub Date : 2025-02-01 DOI:10.1016/j.dib.2024.111181
Nemanja Džuverović , Sandro Radovanović , Goran Tepšić , Đorđe Krivokapić
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Abstract

This paper details the data collection process, dataset, and reuse potential of the Balkan Peace Index, a model designed to evaluate the levels of peacefulness in the Western Balkans. Data was gathered in phases: initially, a team of local experts conducted on-ground data collection, interviews, and focus groups, as well as using external international databases describing different notions of peace. This data was then processed and classified on a predefined scale by another team of experts using the Decision EXpert model. The BPI model incorporates both quantitative and qualitative data, reflecting the local context. The comprehensive dataset is stored in the Mendeley Data repository and offers significant reuse potential for further research, policy-making, and sensitivity analysis. This open-access resource aims to provide actionable insights for improving peace levels and preventing potential deterioration in the region.
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巴尔干和平指数决策专家模型和数据。
本文详细介绍了巴尔干和平指数的数据收集过程、数据集和重用潜力。巴尔干和平指数是一个旨在评估西巴尔干地区和平水平的模型。数据是分阶段收集的:最初,一个当地专家小组进行实地数据收集、访谈和焦点小组,以及利用描述不同和平概念的外部国际数据库。然后,另一组专家使用Decision EXpert模型对这些数据进行处理和分类。BPI模型结合了定量和定性数据,反映了当地的情况。综合数据集存储在Mendeley数据存储库中,为进一步的研究、决策和敏感性分析提供了重要的重用潜力。这一开放获取的资源旨在为提高该地区的和平水平和防止潜在的恶化提供可操作的见解。
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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