CLARIN: Towards FAIR and Responsible Data Science Using Language Resources

17506

Authors

nan

Abstract

CLARIN is a European Research Infrastructure providing access to language resources and technologies for researchers in the humanities and social sciences. It supports the study of language data in general and aims to increase the potential for comparative research of cultural and societal phenomena across the boundaries of languages. This paper outlines the CLARIN vision and strategy, and it explains how the design and implementation of CLARIN are compliant with the FAIR principles: findability, accessibility, interoperability and re- usability of data. The paper also explains the approach of CLARIN towards the enabling of responsible data science. Attention is paid to (i) the development of measures for increasing the transparency and explainability of the results from applying CLARIN technologies, in particular in the context of multidisciplinary research, and (ii) stimulating the uptake of its resources, tools and services by the various communities of use, all in accordance with the principles for Open Science. Keywords: CLARIN, FAIR, research infrastructure, Open Science policies, multilinguality, digital humanities, responsible data science 1.

Keywords

nan

Full Content

CLARIN: Towards FAIR and Responsible Data Science Using Language Resources Franciska de Jong1, Bente Maegaard2, Koenraad De Smedt3, Darja Fiˇser4, Dieter Van Uytvanck5 1,5CLARIN ERIC, 2University of Copenhagen, 3University of Bergen, 4University of Ljubljana and Joˇzef Stefan Institute 1,5Utrecht, The Netherlands, 2Copenhagen, Denmark, 3Bergen, Norway, 4Ljubljana, Slovenia 1f.m.g.dejong@uu.nl, 2bmaegaard@hum.ku.dk, 3desmedt@uib.no, 4darja.fiser@ff.uni-lj.si, 5dieter@clarin.eu Abstract CLARIN is a European Research Infrastructure providing access to language resources and technologies for researchers in the humanities and social sciences. It supports the study of language data in general and aims to increase the potential for comparative research of cultural and societal phenomena across the boundaries of languages. This paper outlines the CLARIN vision and strategy, and it explains how the design and implementation of CLARIN are compliant with the FAIR principles: findability, accessibility, interoperability and re- usability of data. The paper also explains the approach of CLARIN towards the enabling of responsible data science. Attention is paid to (i) the development of measures for increasing the transparency and explainability of the results from applying CLARIN technologies, in particular in the context of multidisciplinary research, and (ii) stimulating the uptake of its resources, tools and services by the various communities of use, all in accordance with the principles for Open Science. Keywords: CLARIN, FAIR, research infrastructure, Open Science policies, multilinguality, digital humanities, responsible data science 1. Introduction: CLARIN Vision and Strategy CLARIN1 is a European Research Infrastructure provid- ing access to language resources and tools. It focuses on the widely acknowledged role of language as social and cultural data and the increased potential for comparative research of cultural and societal phenomena across the boundaries of languages. Access to language data is cru- cial for scholars in the social sciences and the (digital) hu- manities (De Smedt et al., 2018). Language is a carrier of cultural content and information, both synchronically and diachronically. Language also plays a role as the reflection of scientific and societal knowledge, as an instrument for human communication, as one of the central components of the identity of individuals, groups, cultures or nations, as an instrument for human cognition and expression, as a formal system, and as historical records in need of doc- umentation and preservation. These insights underline the vision and the mission of CLARIN. CLARIN vision: All digital language resources and tools from all over Europe and beyond are accessible through a single sign-on on-line environment for the support of re- searchers in the humanities and social sciences. CLARIN mission: Create and maintain an infrastructure to support the sharing, use and sustainability of language data and tools for research in the humanities and social sciences. The vision is obviously very ambitious and the goal will not be fully reached in a foreseeable future, but it is the driving force for those who participate in the consortium and an encouragement for researchers to use and contribute to the infrastructure. CLARIN has been implemented as a distributed research infrastructure with data centres (nodes) across Europe and beyond. The activities in CLARIN basically take …

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Labeled Text

CLARIN is a European Research Infrastructure providing access to language resources and technologies for researchers in the humanities and social sciences. It supports the study of language data in general and aims to increase the potential for comparative research of cultural and societal phenomena across the boundaries of languages. This paper outlines the CLARIN vision and strategy, and it explains how the design and implementation of CLARIN are compliant with the FAIR principles: findability, accessibility, interoperability and reusability of data. The paper also explains the approach of CLARIN towards the enabling of responsible data science. Attention is paid to (i) the development of measures for increasing the transparency and explainability of the results from applying CLARIN technologies, in particular in the context of multidisciplinary research, and (ii) stimulating the uptake of its resources, tools and services by the various communities of use, all in accordance with the principles for Open Science. Keywords: CLARIN, FAIR, research infrastructure, Open Science policies, multilinguality, digital humanities, responsible data science 1.

Publication Details

Paper ID:
17506
Year:
2018
Publication:
TIPSTER
Publication Type:
conf
DOI:
nan