LINDAT/CLARIAH-CZ

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LINDAT/CLARIAH-CZ is a Czech centre for data providing certified storage and natural language processing services. It is a unification of two research infrastructures – LINDAT/CLARIN and DARIAH-CZ – which deals primarily with language data but also with other digital resources and tools for their exploitation, maintenance, and enhancement and offers them to research community, to industry for the development of applications and in specific cases, such as e.g. language culture, also directly to the public domain.

More information about the infrastructure can be found at ​https://lindat.cz/, you can find the repository ​here

Acknowledgements

According to your relationship to LINDAT/CLARIAH-CZ please use the following formulations to properly acknowledge the project in papers, web, etc.

For projects funded in full or in part by LINDAT/CLARIAH-CZ, which might or might not, at the same time, use or create some LINDAT/CLARIAH-CZ data, services or tools: [The work described herein] has [also]* been supported by the Ministry of Education, Youth and Sports of the Czech Republic, Project No. LM2018101 LINDAT/CLARIAH-CZ.

For projects funded from other sources only, which use or contribute to LINDAT/CLARIAH-CZ data, tools and services, including indirectly (e.g. by using a tool developed on LINDAT/CLARIAH-CZ resources, or data originally residing on LINDAT/CLARIAH-CZ etc.). In this case, please also note that the publication or other result must be entered to the RIV database as supported by the RI (starting 2020): [The work described herein] has [also]* been using [data/tools/services]* provided by the LINDAT/CLARIAH-CZ Research Infrastructure (​https://lindat.cz), supported by the Ministry of Education, Youth and Sports of the Czech Republic (Project No. LM2018101).

If you are part of the Masaryk University, please, mark the infrastructure properly in the IS > Publications: In the section *Linking outcomes and projects*, choose the option *large research infrastructure* and fill in the identification code LM2018101.

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Data provided by FI MU

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How to add my results to the infrastructure

If your research in the NLP Centre yields results that can be included in the infrastructure, we encourage you to add them. Below, you can find the recommended information to include.