1. Global Impacts Dataset of Invasive Alien Species (GIDIAS)Sven Bacher, Ellen Ryan-Colton, Mario Coiro, Phillip Cassey, Bella S. Galil, Martin A. Nuñez, Michael Ansong, Katharina Dehnen-Schmutz, Georgi Fayvush, Romina D. Fernandez, Maarten De Groot, 2025, zaključena znanstvena zbirka raziskovalnih podatkov Povzetek: We present the Global Impacts Dataset of Invasive Alien Species (GIDIAS), a global dataset of 22865 records including impacts of invasive alien species on nature, nature’s contributions to people, and good quality of life. Records include positive and negative impacts, neutral impacts (studies were carried out, but no impacts were documented), non-directional impacts (i.e., change without detriments or benefits for native species or people), and finally, some records of alien species where no studies were found that assessed their impacts (indicating data gaps). Records cover 3353 invasive alien species from all major taxa (plants, vertebrates, invertebrates, microorganisms) and all continents and realms (terrestrial, freshwater, marine). The data were compiled to serve as robust evidence for chapter 4 “Impacts of invasive alien species on nature, nature's contributions to people, and good quality of life” of the global assessment report on invasive alien species by the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES; available on Zenodo at https://doi.org/10.5281/zenodo.7430731). The dataset is provided in a machine-readable CSV file (file name GIDIAS_20250417_machine_read.csv), with special language characters retained where used (UTF-8 format). The dataset is also provided in Excel format (file name GIDIAS_20250417_Excel.xlsx). Metadata is provided in Excel format, including descriptors for each variable (file name GIDIAS_metadata_20250417.xlsx). Additional explanations for GIDIAS is stored in Microsoft Word format (docx) and contains (1) a short description of the principles of Environmental and Socio-Economic Impact Classification for Alien Taxa (EICAT, SEICAT), (2) a description of the variables included in the Global Impacts Dataset of Invasive Alien Species GIDIAS, and (3) a compilation of the search strategies and datasets included in the Global Impact Dataset of Invasive Alien Species (GIDIAS).
Ključne besede: invasive alien species, research data
Objavljeno v DiRROS: 01.12.2025; Ogledov: 107; Prenosov: 43
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2. Project management digitalisation of the clinical research at the University Medical Centre : good practice of using REDCap as a digitalisation toolZdenko Garaševič, Franc Strle, Martina Jaklič, 2025, izvirni znanstveni članek Povzetek: Objective: The digital tool REDCap (Research Electronic Data Capture) was implemented at the University Medical Centre Ljubljana (UMCL) with the goal of digitalising and streamlining research processes. This study aimed to assess the efficiency and transparency of clinical research following the implementation of REDCap. Methods: The implementation of REDCap for funded research began in 2021. It comprised four key steps: (I) the initial creation of Central Research Registry, followed by additional functionalities including (II) the establishment of the Central Database for ’Pre-Contract Activities’ for clinical trials; (III) the integration of Reporting on Research Progress directly into the Central Research Registry; and (IV) the development of a semi-automated Workflow for internal agreements. Results: Between 2021 and 2023, UMCL established a Central Research Registry using REDCap, transitioning from paper-based to digital data collection for over 2,500 research projects. These projects included clinical trials, national and international studies, as well as academic research. In addition to serving as a registry, the central system provided comprehensive data management, streamlined communication, and enhanced collaboration among stakeholders in clinical trial research at UMCL. The implementation of REDCap significantly reduced administrative burden and shortened the time required to finalise clinical trial agreements from 202 to 147 days. It also improved coordination, transparency, and real-time monitoring of research activities, facilitating more efficient research execution. Additionally, the digitalisation of internal agreements processes between researchers and stakeholders within UMCL improved coordination and expedited research execution timelines. Furthermore, REDCap enabled real-time monitoring of research progress, further contributing to the efficiency and transparency of research activities. Conclusion: The digitalisation of research processes using REDCap improved the organisation and execution of research, leading to greater efficiency and transparency, reduced administrative workload, and enhanced collaboration. This approach contributed to higher-quality research outcomes and ultimately benefited patient care.
Ključne besede: digitalisation, REDCap, clinical research, efficiency, transparency, research registry, data management
Objavljeno v DiRROS: 24.11.2025; Ogledov: 148; Prenosov: 65
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3. Dataset on parameters of natural forest regeneration a decade after silvicultural treatment in Dinaric fir-beech forestsTanja Mrak, Janez Kermavnar, Lado Kutnar, Petr Baldrian, Nataša Šibanc, Vendula Brabcová, Tijana Martinović, David Lenarčič, Martina Štursová, 2025, zaključena znanstvena zbirka raziskovalnih podatkov Ključne besede: research data
Objavljeno v DiRROS: 17.11.2025; Ogledov: 177; Prenosov: 0
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7. Mentoring programmes for women in research and academia in Europe : version v1Aleksandra Thomson, María López Belloso, Theranda Beqiri, Ana Rotter, Colette Guillopé, Jasmin Schomakers, Anna Szlavi, Ermira H. Kalaj, Maria Bostenaru Dan, Fatma Demir Korkmaz, 2025, zaključena znanstvena zbirka raziskovalnih podatkov Povzetek: This dataset documents an exploratory mapping of mentorship programmes designed to support women and other marginalised groups within academic and research environments across Europe and neighbouring regions. The initiative was led by members of VOICES Working Group 1 (WG1), who contributed insights based on their local institutional knowledge. Rather than aiming for statistical representativeness, the mapping sought to capture diverse, context-specific examples of mentoring practices and structures.
Ključne besede: mentoring programmes, women in research, gender equality, data, European Union
Objavljeno v DiRROS: 27.10.2025; Ogledov: 173; Prenosov: 70
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10. Agents of European beech declineNikica Ogris, Ana Brglez, Andreja Kavčič, Janja Zajc Žunič, Maarten De Groot, Barbara Piškur, 2025, zaključena znanstvena zbirka raziskovalnih podatkov Povzetek: Data collected in the project "Diseases, pests and drought stress of European beech at various climate change scenarios (V4-2026), Working package 2: Causes of the decline of European beech in Slovenia". Data was collected on 40 sampling plots, 39 plots on systematic grid 16 × 16 km and one additional plot in the Alps. On each sampling plot two trees were felled, altogether 80 trees: one visually healthy, and one damaged tree. Visual assessment of crown condition and damaging agents was evaluated following methods of ICP Forests. Rhizosphere soil was collected from each sampled tree for the Phytophthora baiting assay. For fungal isolations five parts of a tree were sampled: leaves, twigs (up to 20 mm in diameter), branches (over 20 mm in diameter), trunk, surface roots and root collar (up to 25 cm from the ground). Four samples from each tree part were collected. Finally, 20 samples per tree and 40 samples per plot were collected, yielding 1.600 samples in total. The samples were surface sterilized. Four subsamples were collected from one sample, altogether, 6.400 subsamples/tissue pieces. Four subsamples were plated on potato dextrose agar supplemented with streptomycin. Fungi and Phytophthora species were identified using molecular techniques, while insects were identified based on their morphological characteristics.
Ključne besede: research data, Fagus sylvatica, decline, damage, complex disease, fungi, insects, Phytophthora, endophytes, stress
Objavljeno v DiRROS: 25.09.2025; Ogledov: 305; Prenosov: 2
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