Uluslararasi Iliskiler (UI), founded in 2004 and currently run by the International Relations Council of Turkey (IRCT), is an independent, international quarterly journal of international relations. The journal seeks to publish articles that make theoretically and empirically original contributions to the literature on national, regional, or global politics. The journal is particularly interested in articles that combine conceptual and theoretical perspectives with empirical analyses that rely upon qualitative, quantitative, or mixed method approaches. Indexed in top research databases, despite not publishing exclusively in English, the journal prides itself in its double-blind peer-review process.

For more information on the journal’s submission process, please visit the journal's website. For authors who are submitting replication files, please see the Guide to Dataverse shared by the Editor.

Once an article is accepted for publication by the Editorial Board of Uluslararası İlişkiler, authors are expected to upload replication material to the Dataverse repository, accessible here: https://dataverse.harvard.edu/dataverse/uidergisi

Authors using quantitative data are required to deposit the following material on to Uluslararası İlişkiler’s Dataverse: the data, the code book or another appropriate description of the data set, a file containing the exact commands used by the author to generate the output, and the actual output from the statistical software.

All online appendices (quantitative or not) are to be deposited on to Uluslararası İlişkiler’s Dataverse. An article will not be forwarded to proof stage until this is completed.

While not required, authors that rely upon non-quantitative approaches can submit data onto Uluslararası İlişkiler’s Dataverse that cannot be included within the article.

All material published in the Dataverse are the responsibility of the authors alone (Dataverse'te yayınlanan verilerin sorumluluğu makalenin yazarlarına aittir).

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21 to 24 of 24 Results
Sep 7, 2020
Kılavuz, M. Tahir, 2020, "Replication Data for: Determinants of Protest Participation in the Arab Uprisings: Grievances and Opportunities in Egypt and Tunisia", https://doi.org/10.7910/DVN/IVDL2Y, Harvard Dataverse, V1, UNF:6:SbzUsTO0AvqemOz2bDVmhA== [fileUNF]
The bourgeoning literature on the protestors of the Arab Uprisings proposed several arguments about protest participation in reference to grievances and opportunities. However, these arguments did not directly test both grievances and opportunities in a comparative setting. Using survey evidence, this article explores the role of grievances and opp...
Jun 16, 2020
ORSUN, OMER FARUK, 2020, "Replication Data for: Dimensions of Democracy and Military Expenditure", https://doi.org/10.7910/DVN/50A92J, Harvard Dataverse, V1, UNF:6:13035c7kJ5F6B2veWraO7g== [fileUNF]
ABSTRACT Is democracy a luxury that nations cannot afford during wartime? Focusing on the dimensions of democracy separately, I argue that contestation and inclusiveness features of democracy pull the war effort decision of leaders in opposite directions. While decreasing contestation increases the available discretionary resources to leaders and g...
Feb 3, 2020
yilanci, veli; eryuzlu, hakan; hopoglu, sertac, 2020, "Replication Data for: Convergence of Military Burdens in the MENA region", https://doi.org/10.7910/DVN/5WLOAJ, Harvard Dataverse, V1, UNF:6:HhjfxkjSCDVR+pihJlK6vg== [fileUNF]
Military burdens in hostile environments may be high, as countries choose to spend on the military for deterrence purposes. In this study, we test whether the convergence hypothesis is valid for military burdens of a panel of the Middle East and North Africa (MENA) countries. The results of the analysis suggest that there is unconditional β-converg...
Nov 20, 2019
Balci, Ali; Filiz Cicioglu; Duygu Kalkan, 2019, "Replication Data for: A Study for Scholarly Impacts of International Relations Academics and Departments in Turkey through Google Scholar Data", https://doi.org/10.7910/DVN/EZTVWV, Harvard Dataverse, V1
Since computers revealed the possibility to collect and evaluate large data, there has been a significant increase in studies measuring the impact of academics. This study aims to analyse International Relations scholars and departments in Turkey by using the data from Google Scholar citation counts. Through this measurement, the study will generat...
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