2025S

• Data Stewardship / 194.045 / UE

• Identifying mechanisms to support trust in research practices & the trustworthiness of infrastructures / Flicker, K., Blumesberger, S., Czuray, M., Rauber, A., Rey Mazon, M., Saurugger, B., & Reichmann, S. (2025). Identifying mechanisms to support trust in research practices & the trustworthiness of infrastructures. In Book of Abstracts : 23rd STS Conference Graz 2025 : Critical Issues in Science, Technology and Society Studies (pp. 15–16).
• EOSC Support Office Austria: Erfolgreiche Aktivitäten und Impulse für die europäische Forschungslandschaft / Flicker, K. (2025, April). EOSC Support Office Austria: Erfolgreiche Aktivitäten und Impulse für die europäische Forschungslandschaft. Aconet Jahresbericht, 2024, 44–47.
• Datennutzung - Perspektiven aus dem Forschungsalltag in Österreich / Flicker, K., Blumesberger, S., Rey Mazón, M., Czuray, M., & Saurugger, B. (2025, April 1). Datennutzung - Perspektiven aus dem Forschungsalltag in Österreich [Conference Presentation]. 2. Österreichischer Bibliothekskongress, Vienna, Austria. https://doi.org/10.5281/zenodo.15118048
  Download: PDF (2.53 MB)
  Project: EOSC Support Office Austria (2022–2025)
• Advancing Research: The Role of the EOSC and EOSC Support Office Austria / Flicker, K., Hanslik, S., & Kalová, T. (2024, October 23). Advancing Research: The Role of the EOSC and EOSC Support Office Austria. ERCIM News, 139, 52–53.
  Project: EOSC Support Office Austria (2022–2025)
• European Open Science Cloud (EOSC) – Europäische Forschungsinfrastrukturen für nationale Museumssammlungen? / Feigl, C., Flicker, K., Gänsdorfer, N., Korth, F., Rainer, H., & Vohland, K. (2024, June 3). European Open Science Cloud (EOSC) – Europäische Forschungsinfrastrukturen für nationale Museumssammlungen? Neues Museum, 24(3), 1–4. https://doi.org/10.58865/13.14/243/7
  Project: EOSC Support Office Austria (2022–2025)
• Theme 3. Trust in Data Driven Research / Rauber, A., Oyama, S., Kashima, H., Yanai, N., Li, J., Takeuchi, K., Aizawa, A., Plexousakis, D., & Flicker, K. (2024, January). Theme 3. Trust in Data Driven Research. ERCIM News, 136, 9–10.
• Towards A Data Repository for Educational Factories / Ekaputra, F. J., Weise, M., Flicker, K., bin Salleh, Mohd. R., Abd Rahman, Md. N., Muhamad Azwan, A. R., Miksa, T., & Rauber, A. (2022, November 2). Towards A Data Repository for Educational Factories [Conference Presentation]. 8th International Conference on Data and Software Engineering (ICoDSE 2022), Denpasar, Bali, Indonesia. https://doi.org/10.34726/2944
  Download: Presentation, 25 slides (1.23 MB)
• The Austrian EOSC mandated organisation/The EOSC support office Austria / Blumesberger, S., Brandt, F., Budroni, P., De Mello Castro Giroletti, J., Ferus, A., Flicker, K., Ganguly, R., Guba, B., Hanslik, S., Hasani-Mavriqi, I., Hönegger, L., Kalová, T., Kranewitter, M., Logar, B., Panigl, C., Rainer, H., Rauber, A., Sánchez Solís, B., Saurugger, B., … Zimmermann, K. (2021). The Austrian EOSC mandated organisation/The EOSC support office Austria. Mitteilungen Der Vereinigung Österreichischer Bibliothekarinnen Und Bibliothekare (VÖB), 74(2), 143–162. https://doi.org/10.31263/VOEBM.V74I2.6270
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• Precisely and persistently identifying and citing arbitrary subsets of dynamic data / Rauber, A., Gößwein, B., Zwölf, C. M., Schubert, C., Wörister, F., Duncan, J., Flicker, K., Zettsu, K., Meixner, K., McIntosh, L., Jenkyns, R., Pröll, S., Miksa, T., & Parsons, M. A. (2021). Precisely and persistently identifying and citing arbitrary subsets of dynamic data. Harvard Data Science Review, 3(4). https://doi.org/10.1162/99608f92.be565013
• Precisely and Persistently Identifying and Citing Arbitrary Subsets of Dynamic Data / Rauber, A., Gößwein, B., Zwölf, C. M., Schubert, C., Wörister, F., Duncan, J., Flicker, K., Zettsu, K., Meixner, K., McIntosh, L. D., Jenkyns, R., Pröll, S., Miksa, T., & Parsons, M. A. (2021). Precisely and Persistently Identifying and Citing Arbitrary Subsets of Dynamic Data. Harvard Data Science Review, 3(4). https://doi.org/10.1162/99608f92.be565013
  Project: CDL-SQI (2018–2024)
• Von der Kunst, Erwartungshaltungen auszustellen. Roboter im Museum. / Flicker, K., & Stadelmann, C. (2018, June). Von der Kunst, Erwartungshaltungen auszustellen. Roboter im Museum. Neues Museum, 18(3), 68–71.