Automated Organization Profile

Univerzitet u Beogradu

Current S-Index

5.2

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.7

Average Dataset Index per dataset

Total Datasets

3

Total datasets in this organization

Average FAIR Score

65.4%

Average FAIR Score per dataset

Total Citations

1

Total citations to the organization's datasets

Total Mentions

0

Total mentions of the organization's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Balkan Peace Index

This dataset is a result of development of the Balkan Peace Index, a model tailored for evaluating levels of peacefulness in the Balkans. Leaning on the local turn principle in International Relations, the dataset addresses the necessity of a region-specific model. Unlike conventional ranking systems, the Balkan Peace Index focuses on a peace classification method, aiming to explain the decision to policy-makers with an explanation of a country's position on the peace continuum. The objective extends beyond a snapshot of the current state, emphasizing actionable insights for improvement and pre-emptive measures against potential deterioration. As a method we choose a qualitative method for classification -- Decision EXpert. This method allows transparency in the score design, consistency of the scores, and it is convenient through its easy to understand nature and the possibility to perform sensitivity analysis. An integral aspect of this research is the sharing of methodology, data, and results with the wider research community, which can serve as a valuable resource for decision and policy-makers.

Authors

  • Radovanović, Sandro ;
  • Džuverović, Nemanja ;
  • Tepšić, Goran ;
  • Krivokapić, Đorđe
0 Citations0 Mentions65% FAIR1.6 Dataset Index
10.17632/fhc566gp7wJanuary 2025

Balkan Peace Index

This dataset is a result of development of the Balkan Peace Index, a model tailored for evaluating levels of peacefulness in the Balkans. Leaning on the local turn principle in International Relations, the dataset addresses the necessity of a region-specific model. Unlike conventional ranking systems, the Balkan Peace Index focuses on a peace classification method, aiming to explain the decision to policy-makers with an explanation of a country's position on the peace continuum. The objective extends beyond a snapshot of the current state, emphasizing actionable insights for improvement and pre-emptive measures against potential deterioration. As a method we choose a qualitative method for classification -- Decision EXpert. This method allows transparency in the score design, consistency of the scores, and it is convenient through its easy to understand nature and the possibility to perform sensitivity analysis. An integral aspect of this research is the sharing of methodology, data, and results with the wider research community, which can serve as a valuable resource for decision and policy-makers.

Authors

  • Radovanović, Sandro ;
  • Džuverović, Nemanja ;
  • Tepšić, Goran ;
  • Krivokapić, Đorđe
0 Citations0 Mentions65% FAIR1.6 Dataset Index
10.17632/fhc566gp7w.2January 2025

Balkan Peace Index

This dataset is a result of development of the Balkan Peace Index, a model tailored for evaluating levels of peacefulness in the Balkans. Leaning on the local turn principle in International Relations, the dataset addresses the necessity of a region-specific model. Unlike conventional ranking systems, the Balkan Peace Index focuses on a peace classification method, aiming to explain the decision to policy-makers with an explanation of a country's position on the peace continuum. The objective extends beyond a snapshot of the current state, emphasizing actionable insights for improvement and pre-emptive measures against potential deterioration. As a method we choose a qualitative method for classification -- Decision EXpert. This method allows transparency in the score design, consistency of the scores, and it is convenient through its easy to understand nature and the possibility to perform sensitivity analysis. An integral aspect of this research is the sharing of methodology, data, and results with the wider research community, which can serve as a valuable resource for decision and policy-makers.

Authors

  • Radovanović, Sandro ;
  • Džuverović, Nemanja ;
  • Tepšić, Goran ;
  • Krivokapić, Đorđe
1 Citation0 Mentions65% FAIR2.0 Dataset Index
10.17632/fhc566gp7w.1July 2024