Data archiving with LaRS and LiRI

• to meet the requirements of Swiss and international funding agencies regarding the publication of your research data.
• to curate, archive and publish linguistic research data.
• to increase the findability of your research data using appropriate metadata.
• to ensure the long-term preservation and accessibility of the datasets and to store your data on Swiss servers (SWITCH).

On request, LiRI takes care of data processing and data conversion, also

• the compilation of datasets for archival,
• merging and anonymizing information,
• converting data into target formats suitable for long-time archival purposes, and
• completing required metadata in line with the resulting datasets.

LiRI team members support researchers also with regard to general questions about metadata schemes for linguistic data, choice of license, etc.

If you are interested in a collaboration with LiRI to process and prepare your research data for long-term archival, please contact services@linguistik.uzh.ch. 

Our service is free for researchers affiliated with CLARIN-CH institutions as long as LiRI and CLARIN-DH participate in ORD-related projects (see for instance UpLORD  project funded through swissuniversities' ORD program). Researchers in linguistic subfields at PhD level and above can publish and archive data free of charge, if their institution is represented in the CLARIN-CH consortium and if they have a SWITCH edu-ID.

Institutions represented in the CLARIN-CH consortium:

• University of Basel
• University of Bern
• University of Fribourg
• University of Geneva
• University of Lausanne
• University of Neuchâtel
• Università della Svizzera Italiana
• University of Zurich
• Zurich University of Applied Sciences
• Swiss Academy of Human and Social Sciences

LiRI and LaRS collaborate with SWISSUbase, the online platform where researchers can deposit their linguistic research data, choose the appropriate license and access permission. The metadata descriptions have been specifically developed in collaboration between LiRI Data Acquistion Officer and LaRS to serve the needs of linguistics and its sub-disciplines, to well describe and to enhance data retrieval. After submission, your data will be curated and archived by the LaRS team of experts in line with FAIR principles.