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UIST researchers, staff and students with authorised accounts can deposit research datasets, documentation and scholarly outputs. Browse the public catalogue without an account. File access and reuse follow the conditions and rights stated on each record. Research areas include computing, engineering, artificial intelligence, data science, cybersecurity, multimedia and digital business.

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Now showing 1 - 5 of 6

Recent Submissions

  • Thumbnail Image
    Item type:Dataset,
    FDI and Unemployment in Former Yugoslav Republics: Published Regression Results
    (2026-10-09)
    D. Capeska Bogatinoska
    ;
    J. Damoska Sekuloska
    ;
    A. Oncheva
    ;
    P. Taskov (compiler)
    A machine-readable compilation of six country rows and 42 numerical regression entries from Table 1 in D. Capeska Bogatinoska, J. Damoska Sekuloska and A. Oncheva (2024), Relationship between FDI Inflow and Unemployment in the Case of the Former Yugoslav Republics, DOI 10.31410/balkans.jetss.2024.7.1.11-20. Includes reported intercepts, FDI coefficients, R-squared, adjusted R-squared, correlations, p-values and F-tests. The author list credits the original study and published results. This repository compilation contains published regression summaries, with transcription and documentation; it does not contain the underlying country-year observations.
  • Thumbnail Image
    Item type:Dataset,
    Crowdsourcing for Language Learning (2020–2022): Published Table Aggregates
    (2026)
    Ç. Hatipoğlu
    ;
    N. Delibegović Džanić
    ;
    E. Gajek
    ;
    L. Miloshevska
    ;
    P. Taskov (compiler)
    A partial machine-readable compilation of 166 published aggregate table cells from the crowdsourcing and language-learning study by Ç. Hatipoğlu, N. Delibegović Džanić, E. Gajek and L. Miloshevska (2022), DOI 10.4312/slo2.0.2022.2.132-183. Includes selected counts and percentages from Tables 1a, 1b, 2a, 2b and 3, with explicit categories and source-page locators. The author list credits the original study and published results. This repository compilation contains selected aggregate results, with transcription and documentation; it does not contain unpublished respondent data.
  • Thumbnail Image
    Item type:Dataset,
    Students’ Online Learning (2020–2021): Published Survey Aggregates
    (2026-10-09)
    Ç. Hatipoğlu
    ;
    E. Gajek
    ;
    N. Delibegović Džanić
    ;
    L. Milosevska
    ;
    P. Taskov (compiler)
    Partial machine-readable extraction of published survey percentages from Ç. Hatipoğlu, E. Gajek, N. Delibegović Džanić and L. Milosevska (2022). Contains 22 observations: nine difficulty indicators and two computer-literacy categories in each of two survey periods, combined across Türkiye, Poland, North Macedonia and Bosnia and Herzegovina. The author list credits the original study and published results. This repository compilation contains selected aggregate results, with transcription and documentation; it does not contain unpublished respondent data.
  • Thumbnail Image
    Item type:Item,
  • Thumbnail Image
    Item type:Item,
    Privacy Risks and Security Threats in Online Social Networks
    (Peeref, 2025-02-05)
    M. Bukalevska
    ;
    A. Karadimce
    Online social networks (OSN) have served as a catalyst in increasing social interaction in the 21st century. Because of their nature, social networks attract many people where they can share information such as text and multimedia content using sites such as Facebook, Twitter, Instagram and more. While OSNs provide a simple and fun way to share information about one’s self, these networks also give rise to new and serious privacy and security issues that could potentially harm users in serious manners. Phishing attacks, the spread of malware, internet fraud, online stalking are a few examples of the vast landscape of possible security dangers that target OSNs. This paper is intended to reach the general audience and will focus on the privacy concerns and classic security threats in OSNs.