This talk will explore key aspects of licensing linguistic data for publication, with a focus on Creative Commons licenses. It will cover copyright principles, licensing benefits and limitations, and proper application to datasets, promoting responsible sharing and reuse while safeguarding intellectual property.
We have gathered inputs from the CLARIN-CH community in order to find out, which data formats are the most widely accepted among the community. The results are now available!
The first CLARIN-CH Day will be held on September 9, 2024 and adress the topic Opportunities and Challenges of Open Research Data. Register now until September 1st, if you want to participate!
The 13th Day of Swiss Linguistics took place on 23 June 2024 at the University of Neuchâtel. CLARIN-CH was present with a poster on Open Research Data challenges and relevant projects as well as research infrastructures in Switzerland.
The webinar explores copyright and intellectual property issues in research with linguistic data, addressing topics like text and data mining, social media data usage, and AI-related copyright concerns.
This case study explores an anonymization pipeline implemented for the Swiss Federal Archive, targeting person names, company names, dates, and social security numbers with a focus on high recall.
We are happy to announce the webinar Case study on anonymization of video and audio data, which is organised within the
We are happy to announce the webinar Protection of Personal and Sensitive data: Technical aspects, which is organised within the CLARIN-CH
This talk introduces tools for anonymizing research data. The first part focuses on a tool for semi-automatically anonymizing qualitative textual data in a structured way. The second part explores an R-package designed for anonymizing structured quantitative data, offering functionalities through both code and an interactive graphical interface.
Many types of empirical linguistic data are particularly difficult to share with third parties, due to the personally identifying information that they often contain. How to respect data sharing requirements from funders and journals while at the same time comply with data protection laws?