Events
Upcoming events
Shaping the Future of Data Stewardship: Personas, Skills, and Career Pathways
We warmly invite you to join this interactive RDA (Research Data Alliance) workshop focused on strengthening the professional ecosystem around data stewardship. Together, we will: Co-develop data steward personas to reflect the diversity of roles. Define core competencies and identify training needs. Design a data stewardship curriculum aligned with career stages and domains. Explore sustainable institutional models and career pathways for data stewards.
Open Science Festival at the University of Vienna
There will be two days of inspiration, innovation, and connection at the historic campus of the University of Vienna! The Open Science Festival brings together researchers, students, and research support staff to:
IEEE International Conference on Cyber Humanities
The IEEE International Conference on Cyber Humanities (IEEE CH) is an annual event co-sponsored by the IEEE Systems, Man, and Cybernetics (SMC) Society. It focuses on theoretical and practical aspects of technologies applied to Social Science and Humanities (SSH) that includes Arts, Heritage, History, Archeology, Linguistics, Libraries, and so forth.
PUBMET25 part 2 - Conference
Join us for the The 12th Conference on Scholarly Communication in the Context of Open Science
Open Science Fair 2025
In an era where global challenges demand collective intelligence, Open Science Fair 2025 will spotlight the power of global, international and cross-regional partnerships in shaping the future of Open Science. True progress requires collaboration that transcends borders, disciplines, and institutions—uniting diverse perspectives to drive meaningful change.
I4NG: Exploring secondary and archival data in social science research: An introduction
Reusing secondary data offers significant advantages, such as saving time, expanding research scope, and allowing researchers to analyse large, existing datasets for trends across different time points or geographical contexts. However, it comes with challenges. Researchers must ensure the original data aligns with their research objectives, raising ontological concerns about the data’s representation of reality. Epistemologically, using pre-collected data may limit the depth of understanding, as it was not originally gathered for the specific research question. Additionally, issues like data quality, missing information, and contextual differences can complicate interpretation.